Artificial Intelligence Software Sector Outlook — September 2026
NeuraCap's Artificial Intelligence Software sector outlook: who plays, how the market prices them, what has transacted, and what it means for owners, operators and acquirers.
Key figures
- 3.0x
- Sector median EV/Revenue
- 8.2x
- Premium end EV/Revenue vs 0.7x at the discount end
- 12
- Transactions with disclosed terms
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1 / 22 · INFORMATION TECHNOLOGY › SOFTWARE AND SERVICES › ARTIFICIAL INTELLIGENCE SOFTWARE
Executive summary
Artificial Intelligence Software is not priced as one uniform market. Forward revenue values vary sharply across business models and operating profiles, while faster-growing names carry the higher observed reference. For owners, the practical agenda is to deepen production deployment, improve recurring revenue quality, protect inference economics and build defensibility through data, workflow ownership and distribution.
Key findings
- Forward Revenue Values Separate Sharply
- Faster Growth Sits with Higher Valuation
- Business Model Changes the Reference Point
- Revenue Remains the Practical Valuation Lens
What each page shows
The analyst’s walkthrough of the deck, page by page.
- 01
INFORMATION TECHNOLOGY › SOFTWARE AND SERVICES › ARTIFICIAL INTELLIGENCE SOFTWARE
INFORMATION TECHNOLOGY › SOFTWARE AND SERVICES › ARTIFICIAL INTELLIGENCE SOFTWARE.
Cover — Artificial Intelligence Software sector insights, September 2026. Prepared by NeuraCap AI; market data as of 2026-09-28; primary valuation basis EV / Revenue (CY2027E). The framing line carries the deck's finding with the figures stripped. 1
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INFORMATION TECHNOLOGY › SOFTWARE AND SERVICES › ARTIFICIAL INTELLIGENCE SOFTWARE Artificial Intelligence Software: Value Splits by Model The report shows where public valuations and precedent transactions place the greatest weight across the sector. September 2026 · Prepared by NeuraCap AI · Confidential Market data as of 2026-09-28 · primary valuation basis EV / Revenue (CY2027E) Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 1
- 02CONTENTS
What This Report Covers
What This Report Covers.
Contents — the report runs 5 numbered sections plus the appendix: the bottom line, the landscape, valuation & situations, precedent transactions, strategic implications. The Bottom Line comes first by design: a reader who stops after section 01 still leaves with the whole story. 2
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CONTENTS What This Report Covers 01 The Bottom Line The Sector Contains Distinct Business Models with Sharply Different Valuation Profiles 02 The Landscape Business Model Matters as Much as the Artificial Intelligence Software Label 03 Valuation & Situations The Premium End Holds a Wide Lead Even After Forecast Growth Is Credited 04 Precedent Transactions Precedent Transactions Put a Wide Range Around Buyer Appetite 05 Strategic Implications Production Proof and Software Economics Shape the Operating Agenda 06 Appendix Comparables Detail, Methodology, Sources and Assumptions Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 2
- 0301 · THE BOTTOM LINE
Artificial Intelligence Software Spans Four Models, with Premiums Across Infrastructure and Services
Artificial Intelligence Software Spans Four Models, with Premiums Across Infrastructure and Services.
Artificial Intelligence Software Spans Four Models, with Premiums Across Infrastructure and Services The full story on one page · figures on EV / Revenue (CY2027E), market data as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Primary valuation basis: EV / Revenue on CY2027E consensus (16 of 17 companies eligible; multiples failing the platform's plausibility gates are excluded, never plotted). Practitioners price this industry on EV / Revenue rather than EV / EBITDA; validated coverage supports the industry standard (16 of 17 companies), so this report follows it. Qualitative characterisations are NeuraCap views. 3
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01 · THE BOTTOM LINE Artificial Intelligence Software Spans Four Models, with Premiums Across Infrastructure and Services The full story on one page · figures on EV / Revenue (CY2027E), market data as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Primary valuation basis: EV / Revenue on CY2027E consensus (16 of 17 companies eligible; multiples failing the platform's plausibility gates are excluded, never plotted). Practitioners price this industry on EV / Revenue rather than EV / EBITDA; validated coverage supports the industry standard (16 of 17 companies), so this report follows it. Qualitative characterisations are NeuraCap views. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 3 1 Forward Revenue Values Separate Sharply The premium end sits at 8.2x EV / Revenue, alongside 0.7x at the discount end. A forward multiple already credits forecast growth, so the remaining spread signals different market views on durability. 2 Faster Growth Sits with Higher Valuation On the 7 faster-growing names, the middle of the range is 5.1x, compared with 3.0x across the 6 slower-growing names. The association supports a focus on durable expansion rather than headline growth alone. 3 Business Model Changes the Reference Point AI infrastructure and model-enablement platforms sit at 3.2x across 6 names, while AI-native enterprise applications sit at 1.4x across 8 names. Revenue mix, deployment depth and inference economics remain important distinctions within those groups. 4 Revenue Remains the Practical Valuation Lens Forward EV / Revenue is available for 16 of the 17 approved companies, while 9 of 17 have meaningful forward EBITDA. That coverage supports revenue as the primary comparison, with profitability used as an execution cross-check. 3.0x Sector median EV/Revenue CY2027E consensus · EV/Revenue is the lens because practitioners price this growth set on revenue and 5 of 17 names are… 8.2x Premium end EV/Revenue vs 0.7x at the discount end top quartile (n=4) against bottom quartile (n=4) on EV/Revenue — the spread the report explains 12 Transactions with disclosed terms 70 recorded in this tier · 3 told as case studies, the full list in the appendix
- 04SECTION 02
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Section 02 of 06 — Business Model Matters as Much as the Artificial Intelligence Software Label. Applications, infrastructure, services and adjacent media offer different revenue quality and operating exposure. Use this divider to reset the room before the section's pages; the progress dots show where the argument stands. 4
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SECTION 02 02 THE LANDSCAPE Business Model Matters as Much as the Artificial Intelligence Software Label Applications, infrastructure, services and adjacent media offer different revenue quality and operating exposure. 02 of 06 Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 4
- 0502 · MARKET MAP
Valuation Spans Several Artificial Intelligence Software Models Rather than a Single Archetype
Valuation Spans Several Artificial Intelligence Software Models Rather than a Single Archetype.
Valuation Spans Several Artificial Intelligence Software Models Rather than a Single Archetype 17 approved companies grouped by business segment · median EV / Revenue (CY2027E) per group · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Segment grouping follows the platform's classification; group medians on rated names only. "Why it matters" lines are NeuraCap views. 5
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02 · MARKET MAP Valuation Spans Several Artificial Intelligence Software Models Rather than a Single Archetype 17 approved companies grouped by business segment · median EV / Revenue (CY2027E) per group · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Segment grouping follows the platform's classification; group medians on rated names only. "Why it matters" lines are NeuraCap views. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 5 AI-NATIVE ENTERPRISE APPLICATIONS 8 cos median 1.4x STRC SOUN AI RZLV CRNC VERI DUOT SSTI Workflow ownership can support recurring revenue, but pilot-to-production conversion and retention determine durability. AI INFRASTRUCTURE AND MODEL-ENABLEMENT PLATFORMS 6 cos median 3.2x IOT S AIOT GRRR PDYN AISP These platforms sit close to deployment, security and model orchestration, making architecture and inference economics central. AI IMPLEMENTATION AND MANAGED TECHNOLOGY SERVICES 2 cos median 5.1x INOD BBAI This group can benefit from enterprise adoption while carrying greater exposure to services mix and delivery intensity. ADJACENT: AI-ENABLED GAMING AND INTERACTIVE MEDIA 1 cos no rated names GDC The adjacent model adds audience and content exposure that differs from enterprise software economics.
- 0602 · LANDSCAPE
Infrastructure Carries the Higher Scaled Reference, While Applications Cover the Broadest Ground
Infrastructure Carries the Higher Scaled Reference, While Applications Cover the Broadest Ground.
Infrastructure Carries the Higher Scaled Reference, While Applications Cover the Broadest Ground Segment view of the approved universe · EV / Revenue (CY2027E) medians on rated names · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. "What they do / why it matters" is a NeuraCap view. Full company-level detail in the appendix and companion tables. 6
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02 · LANDSCAPE Infrastructure Carries the Higher Scaled Reference, While Applications Cover the Broadest Ground Segment view of the approved universe · EV / Revenue (CY2027E) medians on rated names · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. "What they do / why it matters" is a NeuraCap view. Full company-level detail in the appendix and companion tables. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 6 Segment n Share of universe Median EV/Revenue Names to know What they do — and why it matters AI-native enterprise applications 8 47% 1.4x Strategy Inc (STRC) · SoundHound AI, Inc. (SOUN) · +6 more Applications span the range. The 8-name group carries a 1.4x EV / Revenue reference and includes workflow products with different levels of recurring revenue, production deployment and customer concentration. AI infrastructure and model-enablement platforms 6 35% 3.2x Samsara Inc. (IOT) · SentinelOne, Inc. (S) · +4 more Infrastructure holds the higher reference. Across 6 names, the group sits at 3.2x EV / Revenue. Model-agnostic architecture, security, deployment depth and efficient inference economics can strengthen the commercial case. AI implementation and managed technology services 2 12% 5.1x Innodata Inc. (INOD) · BigBear.ai Holdings, Inc. (BBAI) Services connect adoption to delivery. The 2-name group gives owners a reference for businesses that combine technical capability with implementation. Revenue mix and delivery intensity remain central to the quality of that profile. Adjacent: AI-enabled gaming and interactive media 1 6% — GD Culture Group Limited (GDC) Adjacent exposure needs separate treatment. The single company sits outside the main enterprise software models and has no forward EV / Revenue estimate, limiting direct comparison with the rest of the peer set.
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Section 03 of 06 — The Premium End Holds a Wide Lead Even After Forecast Growth Is Credited. Forward EV / Revenue separates businesses with different expectations for durability and execution. Use this divider to reset the room before the section's pages; the progress dots show where the argument stands. 7
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SECTION 03 03 VALUATION & SITUATIONS The Premium End Holds a Wide Lead Even After Forecast Growth Is Credited Forward EV / Revenue separates businesses with different expectations for durability and execution. 03 of 06 Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 7
- 0803 · PUBLIC MARKET VALUATION
The Premium End Holds Its Lead After Forecast Growth Is Already Credited
The Premium End Holds Its Lead After Forecast Growth Is Already Credited.
The Premium End Holds Its Lead After Forecast Growth Is Already Credited EV / Revenue (CY2027E) · all 16 rated companies, sorted descending · sector median 3.0x · EV/Revenue is the lens because practitioners price this growth set on revenue and 5 of 17 names are loss-making on forward EBITDA · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Primary valuation basis: EV / Revenue on CY2027E consensus (16 of 17 companies eligible; multiples failing the platform's plausibility gates are excluded, never plotted). Practitioners price this industry on EV / Revenue rather than EV / EBITDA; validated coverage supports the industry standard (16 of 17 companies), so this report follows it. Tier zones are NeuraCap groupings cut at the rated set's quartiles;
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03 · PUBLIC MARKET VALUATION The Premium End Holds Its Lead After Forecast Growth Is Already Credited EV / Revenue (CY2027E) · all 16 rated companies, sorted descending · sector median 3.0x · EV/Revenue is the lens because practitioners price this growth set on revenue and 5 of 17 names are loss-making on forward EBITDA · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Primary valuation basis: EV / Revenue on CY2027E consensus (16 of 17 companies eligible; multiples failing the platform's plausibility gates are excluded, never plotted). Practitioners price this industry on EV / Revenue rather than EV / EBITDA; validated coverage supports the industry standard (16 of 17 companies), so this report follows it. Tier zones are NeuraCap groupings cut at the rated set's quartiles; every multiple quoted on this page is a median on the same EV / Revenue (CY2027E) basis. Panel commentary is a NeuraCap view. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 8 PREMIUM · median 8.2x CORE · median 3.0x DISCOUNT · median 0.7x Sector median 3.0x WHAT SEPARATES THE TWO ENDS The spread remains wide. The premium end sits at 8.2x EV / Revenue, compared with 0.7x at the discount end. That gap is observed across businesses with different products and operating profiles. Forward values demand durability. Forward EV / Revenue already incorporates forecast expansion. A premium that remains after that credit points to market confidence in revenue quality, deployment depth or longer-term economics. One label hides several models. Both ends contain AI-native enterprise applications, while infrastructure and managed technology services also appear across the ranking. Segment alone does not settle the valuation outcome.
- 0903 · VALUATION DRIVERS
Profitability Separates the Two Ends: Names Above the 17% Margin Line Carry 4.5x Against 0.9x Below It
Profitability Separates the Two Ends: Names Above the 17% Margin Line Carry 4.5x Against 0.9x Below It.
Profitability Separates the Two Ends: Names Above the 17% Margin Line Carry 4.5x Against 0.9x Below It Median EV / Revenue (CY2027E) by revenue-growth cohort and by EBITDA-margin cohort (each split at its covered median) · rated names with estimates · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Cohort medians on rated names with the required estimates (faster n=7; slower n=6; higher-margin n=5; lower-margin n=4). Driver readings are NeuraCap views on the supplied data — association, not causation. 9
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03 · VALUATION DRIVERS Profitability Separates the Two Ends: Names Above the 17% Margin Line Carry 4.5x Against 0.9x Below It Median EV / Revenue (CY2027E) by revenue-growth cohort and by EBITDA-margin cohort (each split at its covered median) · rated names with estimates · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Cohort medians on rated names with the required estimates (faster n=7; slower n=6; higher-margin n=5; lower-margin n=4). Driver readings are NeuraCap views on the supplied data — association, not causation. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 9 EV/Revenue, median per cohort · growth split at 18% · EBITDA-margin split at 17% Growth Separates the Two Observed Valuation Groups Among the 13 names with growth estimates used in the split, the 7 names at or above 18% sit at 5.1x, while the 6 names below that level sit at 3.0x. The result shows association rather than causation. Production Conversion Gives Growth Greater Commercial Weight Expansion tied to production deployment, retention and usage-based revenue is more durable than pilot-heavy activity. Owners can test growth quality through contracted backlog, remaining performance obligations and customer expansion. Inference Economics Remain Part of the Value Case Revenue growth has greater strategic value when compute, data-processing and support costs preserve software economics. Model-agnostic architecture and disciplined workload costs can improve that operating profile.
- 1003 · SITUATION MAP
A Premium Position Combines Above-Range Growth with an Above-Range Multiple
A Premium Position Combines Above-Range Growth with an Above-Range Multiple.
A Premium Position Combines Above-Range Growth with an Above-Range Multiple Cut on EV / Revenue vs the sector median (3.0x) (rows) and revenue growth vs the covered median (18%) (columns) · 3 rated names without the second measure are not mapped · observations, not recommendations Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Situation boundaries are the cohort's own medians (Directional, NeuraCap view). This page characterises situations; it does not recommend buying or selling any security. 10
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03 · SITUATION MAP A Premium Position Combines Above-Range Growth with an Above-Range Multiple Cut on EV / Revenue vs the sector median (3.0x) (rows) and revenue growth vs the covered median (18%) (columns) · 3 rated names without the second measure are not mapped · observations, not recommendations Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. Situation boundaries are the cohort's own medians (Directional, NeuraCap view). This page characterises situations; it does not recommend buying or selling any security. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 10 Premium Growth Leaders Above-median multiple · above-median revenue growth 5 names Samsara Inc. (IOT) · SentinelOne, Inc. (S) · SoundHound AI, Inc. (SOUN) · +2 more Among the 5 mapped names in this position, growth and valuation both sit above the peer-set reference. The operating challenge is to sustain production deployment, retention and software economics. Premium with Slower Growth Above-median multiple · below-median revenue growth 3 names Strategy Inc (STRC) · C3.ai, Inc. (AI) · BigBear.ai Holdings, Inc. (BBAI) Among the 3 mapped names in this position, valuation sits above the peer-set reference while growth sits below it. Durability, workflow ownership or strategic positioning may be carrying greater weight than current expansion. Growth Awaiting Recognition Below-median multiple · above-median revenue growth 2 names Veritone, Inc. (VERI) · Airship AI Holdings, Inc. (AISP) Among the 2 mapped names in this position, growth sits above the peer-set reference while valuation remains below it. The gap focuses attention on revenue quality, cost structure and confidence in forecast delivery. Execution Reset Below-median multiple · below-median revenue growth 3 names PowerFleet, Inc. (AIOT) · Cerence Inc. (CRNC) · SoundThinking, Inc. (SSTI) Among the 3 mapped names in this position, both growth and valuation sit below the peer-set reference. The strategic agenda centers on production conversion, revenue mix and operating discipline.
- 1103 · THE AGENDA
Revenue Mix, Pricing and Cost Structure Can Strengthen Strategic Positioning
Revenue Mix, Pricing and Cost Structure Can Strengthen Strategic Positioning.
Revenue Mix, Pricing and Cost Structure Can Strengthen Strategic Positioning NeuraCap view · framed as the questions an owner or acquirer should resolve · observations, not recommendations Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. All content on this page is Directional — NeuraCap advisory judgment grounded in the cohort data shown earlier. It does not constitute investment advice. 11
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03 · THE AGENDA Revenue Mix, Pricing and Cost Structure Can Strengthen Strategic Positioning NeuraCap view · framed as the questions an owner or acquirer should resolve · observations, not recommendations Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. All content on this page is Directional — NeuraCap advisory judgment grounded in the cohort data shown earlier. It does not constitute investment advice. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 11 Deepen Production Deployment Prioritize products and customer workflows that move from pilots into recurring, embedded use. Greater workflow ownership can improve retention and revenue durability. What changes the answer: The answer changes when production conversion, usage expansion and renewal evidence become durable. Shift Revenue Toward Repeatable Software Assess where services support adoption and where they dilute repeatability. Productization, pricing and delivery design can improve revenue quality without removing necessary implementation support. What changes the answer: The answer changes when recurring software expands faster than delivery-intensive revenue. Protect Inference Economics Align architecture, pricing and workload design with compute and data-processing costs. Model-agnostic choices can reduce dependence on a single foundation model or infrastructure provider. What changes the answer: The answer changes when workload growth improves unit economics rather than increasing cost exposure. Strengthen Data and Model Defensibility Build around proprietary data access, clear rights and deep enterprise integration. These features can support differentiation as foundation models become more widely available. What changes the answer: The answer changes when customer contracts, data provenance and model dependencies support durable deployment.
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Section 04 of 06 — Precedent Transactions Put a Wide Range Around Buyer Appetite. Disclosed pricing varies with the target, strategic fit and earnings profile. Use this divider to reset the room before the section's pages; the progress dots show where the argument stands. 12
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SECTION 04 04 PRECEDENT TRANSACTIONS Precedent Transactions Put a Wide Range Around Buyer Appetite Disclosed pricing varies with the target, strategic fit and earnings profile. 04 of 06 Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 12
- 1304 · DEAL CASE STUDIES
Precedent Transactions Show Buyers Using Different Valuation Anchors
Precedent Transactions Show Buyers Using Different Valuation Anchors.
Precedent Transactions Show Buyers Using Different Valuation Anchors 3 of 12 transactions with disclosed terms, told as case studies · multiples on LTM financials at announcement where disclosed · the complete list is in the appendix · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. 66 precedent record(s) carry data-quality flags (deal value unit unresolved; divestiture roles reassigned; duplicate precedent id); figures are shown as recorded in the filing. 58 recorded transactions with neither a disclosed value nor a multiple are omitted from the precedent list and the case studies (kept in the companion workbook). Deal multiples are LTM at announcement (Definitive, from filings); they are not directly comparable to the CY2027E public basis and no spread is claimed.
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04 · DEAL CASE STUDIES Precedent Transactions Show Buyers Using Different Valuation Anchors 3 of 12 transactions with disclosed terms, told as case studies · multiples on LTM financials at announcement where disclosed · the complete list is in the appendix · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. 66 precedent record(s) carry data-quality flags (deal value unit unresolved; divestiture roles reassigned; duplicate precedent id); figures are shown as recorded in the filing. 58 recorded transactions with neither a disclosed value nor a multiple are omitted from the precedent list and the case studies (kept in the companion workbook). Deal multiples are LTM at announcement (Definitive, from filings); they are not directly comparable to the CY2027E public basis and no spread is claimed. "Why the deal happened" is a NeuraCap read of the recorded evidence. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 13 Sep-2025 $71M Scilex Holding Company Scilex Holding Company acquired Datavault AI Inc. at a high revenue reference. EV / LTM revenue 15.9x EV / LTM EBITDA n/a WHY THE DEAL HAPPENED The pairing suggests strategic interest in Datavault AI Inc.'s capabilities. The completed transaction indicates conviction beyond a commercial partnership. HOW THE TARGET WAS VALUED The disclosed value was $71M, equal to 15.9x EV / Revenue. That pricing provides a high-end transaction benchmark within the disclosed set. Jun-2021 $400M WiMi Hologram Cloud Inc. WiMi Hologram Cloud Inc. placed substantial value on VIYI Algorithm Inc. EV / LTM revenue n/a EV / LTM EBITDA n/a WHY THE DEAL HAPPENED The pairing suggests a strategic fit between WiMi Hologram Cloud Inc. and VIYI Algorithm Inc. The announced transaction points to interest in adding adjacent AI capability at scale. HOW THE TARGET WAS VALUED The disclosed value was $400M. With no transaction multiple stated, the value serves as the principal benchmark. Nov-2023 $70M BigBear.ai Holdings, Inc. BigBear.ai Holdings, Inc. (BBAI) expanded through Pangiam Intermediate Holdings, LLC. EV / LTM revenue n/a EV / LTM EBITDA n/a WHY THE DEAL HAPPENED The transaction suggests BigBear.ai Holdings, Inc. (BBAI) saw strategic fit in Pangiam Intermediate Holdings, LLC. The completed acquisition provides evidence of capability-led expansion within Artificial Intelligence Software. HOW THE TARGET WAS VALUED The disclosed value was $70M. The value benchmarks the transaction without relying on an unstated revenue or earnings multiple.
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Section 05 of 06 — Production Proof and Software Economics Shape the Operating Agenda. Owners can strengthen positioning through revenue quality, deployment depth and cost discipline. Use this divider to reset the room before the section's pages; the progress dots show where the argument stands. 14
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SECTION 05 05 STRATEGIC IMPLICATIONS Production Proof and Software Economics Shape the Operating Agenda Owners can strengthen positioning through revenue quality, deployment depth and cost discipline. 05 of 06 Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 14
- 1505 · STRATEGIC IMPLICATIONS
Owners Can Improve Positioning Through Revenue Quality, Deployment Depth and Cost Discipline
Owners Can Improve Positioning Through Revenue Quality, Deployment Depth and Cost Discipline.
Owners Can Improve Positioning Through Revenue Quality, Deployment Depth and Cost Discipline NeuraCap view · the questions this data puts on the table for the next twelve months Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. This page is Directional — NeuraCap views drawn from the analysis in this report. Observations, not recommendations. 15
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05 · STRATEGIC IMPLICATIONS Owners Can Improve Positioning Through Revenue Quality, Deployment Depth and Cost Discipline NeuraCap view · the questions this data puts on the table for the next twelve months Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. This page is Directional — NeuraCap views drawn from the analysis in this report. Observations, not recommendations. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 15 FOR OWNERS Choose the Model You Want the Market to Recognize Align product investment and capital allocation with a clear position across applications, infrastructure or managed technology services. Mixed models need disciplined pricing and cost ownership. FOR MANAGEMENT Turn Growth into Durable Production Revenue Focus execution on pilot-to-production conversion, retention, usage expansion and contracted demand. Growth carries more strategic weight when customers embed the product in critical workflows. FOR BOARDS Test Build-Versus-Buy Against Defensibility Evaluate whether proprietary data, distribution, workflow access or technical capability is faster to build or acquire. Keep integration demands and model dependencies central to the decision.
- 16SECTION 06
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Section 06 of 06 — The Full Universe, Methodology and Sources. Comparables detail behind every figure in the body, the valuation basis, and where each underlying disclosure lives. Use this divider to reset the room before the section's pages; the progress dots show where the argument stands. 16
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SECTION 06 06 APPENDIX The Full Universe, Methodology and Sources Comparables detail behind every figure in the body, the valuation basis, and where each underlying disclosure lives. 06 of 06 Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 16
- 1706 · PUBLIC COMPARABLES (1 OF 2)
Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier
Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier.
Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier Teal shading marks a EV/Revenue above the sector median (3.0x); amber marks below · 16 rated companies; 1 not rated (no eligible EV/Revenue) · tickers link to the underlying source · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. All 16 rated rows are in this appendix and in the companion workbook, which carries the complete field set. Names without an eligible multiple are listed in the companion workbook. 17
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06 · PUBLIC COMPARABLES (1 OF 2) Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier Teal shading marks a EV/Revenue above the sector median (3.0x); amber marks below · 16 rated companies; 1 not rated (no eligible EV/Revenue) · tickers link to the underlying source · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. All 16 rated rows are in this appendix and in the companion workbook, which carries the complete field set. Names without an eligible multiple are listed in the companion workbook. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 17 Company Ticker Segment EV EV/Revenue (CY2027E) Rev growth EBITDA margin Rule of 40 PREMIUM — ≥5.5x · median 8.2x · 4 companies Strategy Inc STRC AI-native enterprise applications $49.8B 97.7x 2% n/a n/a Samsara Inc. IOT AI infrastructure and model-enablement platforms $21.4B 8.9x 20% 24% 44 SoundHound AI, Inc. SOUN AI-native enterprise applications $2.3B 7.5x 30% n/a n/a BigBear.ai Holdings, Inc. BBAI AI implementation and managed technology services $944M 5.8x 12% n/a n/a CORE — 1.1x–5.5x · median 3.0x · 8 companies Palladyne AI Corp. PDYN AI infrastructure and model-enablement platforms $216M 5.4x 61% n/a n/a SentinelOne, Inc. S AI infrastructure and model-enablement platforms $7.1B 5.1x 18% 17% 35 C3.ai, Inc. AI AI-native enterprise applications $1.1B 4.6x 12% n/a n/a Innodata Inc. INOD AI implementation and managed technology services $2.1B 4.5x 28% 20% 47 Cerence Inc. CRNC AI-native enterprise applications $432M 1.5x 10% n/a n/a Rezolve AI PLC RZLV AI-native enterprise applications $759M 1.4x n/a 2% n/a Airship AI Holdings, Inc. AISP AI infrastructure and model-enablement platforms $50M 1.2x 48% 3% 51 PowerFleet, Inc. AIOT AI infrastructure and model-enablement platforms $624M 1.2x 11% 26% 37 DISCOUNT — <1.1x · median 0.7x · 4 companies Veritone, Inc. VERI AI-native enterprise applications $150M 0.9x 21% n/a n/a Gorilla Technology Group Inc. GRRR AI infrastructure and model-enablement platforms $568M 0.8x n/a 45% 273
- 1806 · PUBLIC COMPARABLES (2 OF 2)
Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier
Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier.
Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier Teal shading marks a EV/Revenue above the sector median (3.0x); amber marks below · 16 rated companies; 1 not rated (no eligible EV/Revenue) · tickers link to the underlying source · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. All 16 rated rows are in this appendix and in the companion workbook, which carries the complete field set. Names without an eligible multiple are listed in the companion workbook. 18
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06 · PUBLIC COMPARABLES (2 OF 2) Public Comparables on EV / Revenue (CY2027E), Grouped by Valuation Tier Teal shading marks a EV/Revenue above the sector median (3.0x); amber marks below · 16 rated companies; 1 not rated (no eligible EV/Revenue) · tickers link to the underlying source · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. All 16 rated rows are in this appendix and in the companion workbook, which carries the complete field set. Names without an eligible multiple are listed in the companion workbook. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 18 Company Ticker Segment EV EV/Revenue (CY2027E) Rev growth EBITDA margin Rule of 40 DISCOUNT — CONTINUED — <1.1x · median 0.7x · 4 companies SoundThinking, Inc. SSTI AI-native enterprise applications $62M 0.6x 12% 15% 27 Duos Technologies Group, Inc. DUOT AI-native enterprise applications $72M 0.5x n/a 8% 205
- 1906 · PRECEDENT TRANSACTIONS (1 OF 2)
All Precedent Transactions with Disclosed Terms, Newest First
All Precedent Transactions with Disclosed Terms, Newest First.
All Precedent Transactions with Disclosed Terms, Newest First 12 transactions with disclosed terms in this tier (70 recorded) · multiples on LTM financials at announcement where disclosed · deal values link to the underlying filing · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. 66 precedent record(s) carry data-quality flags (deal value unit unresolved; divestiture roles reassigned; duplicate precedent id); figures are shown as recorded in the filing. 58 recorded transactions with neither a disclosed value nor a multiple are omitted from the precedent list and the case studies (kept in the companion workbook). Deal multiples are LTM at announcement (Definitive, from filings); they are not directly comparable to the CY2027E public basis and no spread is claimed. 19
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06 · PRECEDENT TRANSACTIONS (1 OF 2) All Precedent Transactions with Disclosed Terms, Newest First 12 transactions with disclosed terms in this tier (70 recorded) · multiples on LTM financials at announcement where disclosed · deal values link to the underlying filing · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. 66 precedent record(s) carry data-quality flags (deal value unit unresolved; divestiture roles reassigned; duplicate precedent id); figures are shown as recorded in the filing. 58 recorded transactions with neither a disclosed value nor a multiple are omitted from the precedent list and the case studies (kept in the companion workbook). Deal multiples are LTM at announcement (Definitive, from filings); they are not directly comparable to the CY2027E public basis and no spread is claimed. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 19 Date Transaction EV EV/LTM Rev EV/LTM EBITDA Why it matters Nov-2025 Palladyne AI Corp. → GuideTech, LLC $6M n/a n/a Palladyne AI Corp. (PDYN) acquired GuideTech, LLC in a completed transaction recorded at $6M. The pairing provides a reference for smaller capability acquisitions. Sep-2025 Scilex Holding Company → Datavault AI Inc. $71M 15.9x n/a Scilex Holding Company completed its acquisition of Datavault AI Inc. The disclosed terms provide a high-end revenue reference within the transaction set. Jan-2025 n/a → Unusual Machines, Inc. n/a 2.3x 13.8x The completed transaction involving Unusual Machines, Inc. was recorded at 2.3x EV / Revenue and 13.8x EV / EBITDA. The two measures connect revenue scale with earnings delivery. Nov-2023 BigBear.ai Holdings, Inc. → Pangiam Intermediate Holdings, LLC $70M n/a n/a BigBear.ai Holdings, Inc. (BBAI) completed its acquisition of Pangiam Intermediate Holdings, LLC. The transaction adds a reference for strategic capability expansion. Feb-2022 Tantalus Systems Inc. → Congruititive n/a 2.0x 3.8x The announced transaction between Tantalus Systems Inc. and Congruititive was recorded at 2.0x EV / Revenue and 3.8x EV / EBITDA. The pricing offers a lower-range cross-check on both measures. Jun-2021 WiMi Hologram Cloud Inc. → VIYI Algorithm Inc. $400M n/a n/a WiMi Hologram Cloud Inc. announced a transaction involving VIYI Algorithm Inc. The disclosed value provides a larger reference within the set. Apr-2021 Microsoft Corporation → Nuance Communications, Inc. n/a 11.9x 59.7x Microsoft Corporation announced its acquisition of Nuance Communications, Inc. at 11.9x EV / Revenue and 59.7x EV / EBITDA. The pricing sits at the upper end of the disclosed transaction references. Feb-2021 AeroVironment → Intelligent Systems Group n/a 3.6x n/a AeroVironment announced its acquisition of Intelligent Systems Group at 3.6x EV / Revenue. The transaction offers a mid-range revenue reference. Feb-2020 Azenta Us Inc. → Ruro, Inc. n/a n/a 0.7x Azenta Us Inc. announced its acquisition of Ruro, Inc. with an EV / EBITDA reference. The transaction broadens the set beyond revenue-based pricing.
- 2006 · PRECEDENT TRANSACTIONS (2 OF 2)
All Precedent Transactions with Disclosed Terms, Newest First
All Precedent Transactions with Disclosed Terms, Newest First.
All Precedent Transactions with Disclosed Terms, Newest First 12 transactions with disclosed terms in this tier (70 recorded) · multiples on LTM financials at announcement where disclosed · deal values link to the underlying filing · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. 66 precedent record(s) carry data-quality flags (deal value unit unresolved; divestiture roles reassigned; duplicate precedent id); figures are shown as recorded in the filing. 58 recorded transactions with neither a disclosed value nor a multiple are omitted from the precedent list and the case studies (kept in the companion workbook). Deal multiples are LTM at announcement (Definitive, from filings); they are not directly comparable to the CY2027E public basis and no spread is claimed. 20
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06 · PRECEDENT TRANSACTIONS (2 OF 2) All Precedent Transactions with Disclosed Terms, Newest First 12 transactions with disclosed terms in this tier (70 recorded) · multiples on LTM financials at announcement where disclosed · deal values link to the underlying filing · as of 2026-09-28 Source: NeuraCap analytics platform; market data and consensus estimates as of 2026-09-28; company disclosures via SEC EDGAR where linked. 66 precedent record(s) carry data-quality flags (deal value unit unresolved; divestiture roles reassigned; duplicate precedent id); figures are shown as recorded in the filing. 58 recorded transactions with neither a disclosed value nor a multiple are omitted from the precedent list and the case studies (kept in the companion workbook). Deal multiples are LTM at announcement (Definitive, from filings); they are not directly comparable to the CY2027E public basis and no spread is claimed. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 20 Date Transaction EV EV/LTM Rev EV/LTM EBITDA Why it matters Feb-2019 Rekor Systems, Inc. → OpenALPR Technology, Inc. $5M n/a n/a Value shown as recorded in the filing; deal value unit unresolved. Dec-2018 Apis Ventures LLC → Veritone, Inc. $145M 7.4x n/a Value shown as recorded in the filing; deal value unit unresolved. Mar-2018 Motorola Solutions, Inc. → Avigilon Corporation n/a 16.5x 16.5x Value shown as recorded in the filing; deal value unit unresolved.
- 2106 · METHODOLOGY
Sources, Assumptions and Data Quality
Sources, Assumptions and Data Quality.
Sources, Assumptions and Data Quality How this report was built, what was excluded, and where every underlying disclosure lives · as of 2026-09-28 Every figure in this report links to the record it was taken from. Where a figure has no link, the appendix names its source and the basis on which it was read. 21
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06 · METHODOLOGY Sources, Assumptions and Data Quality How this report was built, what was excluded, and where every underlying disclosure lives · as of 2026-09-28 Every figure in this report links to the record it was taken from. Where a figure has no link, the appendix names its source and the basis on which it was read. Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice 21 VALUATION BASIS Primary valuation basis: EV / Revenue on CY2027E consensus (16 of 17 companies eligible; multiples failing the platform's plausibility gates are excluded, never plotted). Practitioners price this industry on EV / Revenue rather than EV / EBITDA; validated coverage supports the industry standard (16 of 17 companies), so this report follows it. EV / Revenue on CY2027E is the lead convention: it is the sector-appropriate prior for Artificial Intelligence Software and it clears the coverage gate with 16 of 17 companies (94%). P / E is carried as a cross-check. A revenue lens is used rather than a profit multiple because the set is not consistently profitable on a forward basis (9 of 17 names with a meaningful EBITDA). DATA QUALITY & EXCLUSIONS 64 records were excluded or quarantined by the platform's validation gates (unit errors, implausible ratios, ineligible securities and classification failures); the full ledger ships in the companion tables and never feeds a statistic in this report. DEFINITIVE VS DIRECTIONAL Definitive content is disclosed or consensus data passed through stated arithmetic. Directional content — tier boundaries, situation cuts, "why it matters" commentary, the agenda pages — is NeuraCap analyst judgment and is labeled as such where it appears. WHAT THIS REPORT IS NOT This report characterises a sector. It does not recommend buying, selling or holding any security, and no statement in it should be read as investment advice or a price target. WHERE THE DATA LIVES 735 registered source documents stand behind the figures in this report. Metric hyperlinks throughout the deck open the specific filing or data record; by publisher: sec.gov (734) · home.treasury.gov (1). The companion workbook beside this deck carries the complete source index.
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The Premium Sits with Businesses That Pair Expansion with Credible Durability.
The Premium Sits with Businesses That Pair Expansion with Credible Durability..
Closing — The Premium Sits with Businesses That Pair Expansion with Credible Durability. The companion tables beside this deck carry the full universe, the exclusion ledger and the complete source index for any figure a client wants to trace. 22
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The Premium Sits with Businesses That Pair Expansion with Credible Durability. NeuraCap AI — Artificial Intelligence Software Coverage September 2026 · Prepared by NeuraCap AI · Confidential Artificial Intelligence Software Coverage | September 2026 | Confidential | Not investment advice Sources & methodology 22
Sources and methodology
This report covers Artificial Intelligence Software (Information Technology › Software and Services › Artificial Intelligence Software) with market data and consensus estimates as of September 28, 2026. The company universe is the 17 listed companies whose core business is Artificial Intelligence Software according to NeuraCap's industry classification of each company's reported business segments (a company is included only when this industry is central to what it does, not merely adjacent to it). Companies in the set: C3.ai, Inc. (AI), PowerFleet, Inc. (AIOT), Airship AI Holdings, Inc. (AISP), BigBear.ai Holdings, Inc. (BBAI), Cerence Inc. (CRNC), Duos Technologies Group, Inc. (DUOT), GD Culture Group Limited (GDC), Gorilla Technology Group Inc. (GRRR), Innodata Inc. (INOD), Samsara Inc. (IOT), Palladyne AI Corp. (PDYN), Rezolve AI PLC (RZLV), SentinelOne, Inc. (S), SoundHound AI, Inc. (SOUN), SoundThinking, Inc. (SSTI), Strategy Inc (STRC), Veritone, Inc. (VERI). The market map groups them by business vertical — AI-native enterprise applications: 8 companies (STRC, SOUN, AI, RZLV, CRNC, VERI, DUOT, SSTI); AI infrastructure and model-enablement platforms: 6 companies (IOT, S, AIOT, GRRR, PDYN, AISP); AI implementation and managed technology services: 2 companies (INOD, BBAI); Adjacent: AI-enabled gaming and interactive media: 1 company (GDC). 16 of the 17 companies carry a valid multiple on the primary valuation basis and form the rated set behind every cohort statistic; the others are shown but do not enter the statistics.
Scope and company universe
This report covers Artificial Intelligence Software (Information Technology › Software and Services › Artificial Intelligence Software) with market data and consensus estimates as of September 28, 2026. The company universe is the 17 listed companies whose core business is Artificial Intelligence Software according to NeuraCap's industry classification of each company's reported business segments (a company is included only when this industry is central to what it does, not merely adjacent to it). Companies in the set: C3.ai, Inc. (AI), PowerFleet, Inc. (AIOT), Airship AI Holdings, Inc. (AISP), BigBear.ai Holdings, Inc. (BBAI), Cerence Inc. (CRNC), Duos Technologies Group, Inc. (DUOT), GD Culture Group Limited (GDC), Gorilla Technology Group Inc. (GRRR), Innodata Inc. (INOD), Samsara Inc. (IOT), Palladyne AI Corp. (PDYN), Rezolve AI PLC (RZLV), SentinelOne, Inc. (S), SoundHound AI, Inc. (SOUN), SoundThinking, Inc. (SSTI), Strategy Inc (STRC), Veritone, Inc. (VERI). The market map groups them by business vertical — AI-native enterprise applications: 8 companies (STRC, SOUN, AI, RZLV, CRNC, VERI, DUOT, SSTI); AI infrastructure and model-enablement platforms: 6 companies (IOT, S, AIOT, GRRR, PDYN, AISP); AI implementation and managed technology services: 2 companies (INOD, BBAI); Adjacent: AI-enabled gaming and interactive media: 1 company (GDC). 16 of the 17 companies carry a valid multiple on the primary valuation basis and form the rated set behind every cohort statistic; the others are shown but do not enter the statistics.
What was excluded and why
64 records failed a validation gate and never feed a statistic in this report (61 excluded from aggregate; 3 quarantined). Each exclusion, with its reason: AI — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · AI — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · AI — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · AI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AIOT — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AIOT — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AIOT — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AISP — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · AISP — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · AISP — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · AISP — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · BBAI — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · BBAI — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · BBAI — EBITDA is non-positive; EV/EBITDA is n/m (effect: excluded from aggregate) · BBAI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · BBAI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · BBAI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · BBAI — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · CRNC — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · DUOT — EBITDA 300000.0000 is below the $1000000 materiality floor; any multiple would be meaningless (effect: excluded from aggregate) · DUOT — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · DUOT — Non-positive EPS; P/E is n/m (effect: excluded from aggregate) · further items are listed in the companion tables.
Primary valuation basis and how it was chosen
Primary valuation basis: EV / Revenue on CY2027E consensus (16 of 17 companies eligible; multiples failing the platform's plausibility gates are excluded, never plotted). Practitioners price this industry on EV / Revenue rather than EV / EBITDA; validated coverage supports the industry standard (16 of 17 companies), so this report follows it. EV / Revenue on CY2027E is the lead convention: it is the sector-appropriate prior for Artificial Intelligence Software and it clears the coverage gate with 16 of 17 companies (94%). P / E is carried as a cross-check. A revenue lens is used rather than a profit multiple because the set is not consistently profitable on a forward basis (9 of 17 names with a meaningful EBITDA). The basis is selected in two steps: the industry's customary valuation conventions set the order of preference, and each convention is then tested for coverage — the share of companies with a valid, plausibility-checked multiple on the chosen period. A convention is used only when enough companies carry it; the best-covered convention is used, and disclosed, when none clears the threshold. Coverage measured for this report — EV / EBITDA: 9 of 17 companies; EV / rEVenue: 16 of 17 companies; P/E: 9 of 17 companies. 5 companies show a non-meaningful EV / EBITDA denominator and are excluded from that statistic. 7 companies show a non-meaningful P / E denominator and are excluded from that statistic.
How the multiples and statistics are computed
Enterprise value (EV) is market capitalisation at the as-of date plus total debt minus cash and equivalents from the latest reported balance sheet, reconciled against the platform's stored value and disclosed where the two differ. Forward multiples divide EV (or the share price for P/E) by the consensus estimate for the stated calendar period; trailing multiples use the last twelve months of reported figures from SEC filings. A multiple with a negative or immaterial denominator is treated as not meaningful and excluded from every statistic. Cohort statistics are medians and quartiles over the rated set only; a group median with fewer than three observations is shown as the single company's figure and labelled as such. Valuation tiers cut the rated set at its quartiles (tiers cut at the rated set's quartiles: Premium ≥5.5x, Core 1.1x–5.5x, Discount <1.1x — NeuraCap groupings). Revenue growth compares consecutive calendar-year consensus revenue; EBITDA margin divides consensus EBITDA by consensus revenue for the same period. Figures shown in this report and the calculation behind each: 3.0x = median(ev_revenue CY2027E) (16 rated companies) · 8.2x = median(ev_revenue CY2027E) within Premium tier (n=4) · 3.0x = median(ev_revenue CY2027E) within Core tier (n=8) · 0.7x = median(ev_revenue CY2027E) within Discount tier (n=4) · 5.1x = median(ev_revenue CY2027E) | growth ≥ 18% (n=7) · 3.0x = median(ev_revenue CY2027E) | growth < 18% (n=6) · 4.5x = median(ev_revenue CY2027E) | EBITDA margin ≥ 17% (n=5) · 0.9x = median(ev_revenue CY2027E) | EBITDA margin < 17% (n=4) · 40% = median Rule of 40 score (revenue growth + EBITDA margin) (n=6)
Precedent transactions: what is in the record and why
The precedent record holds the M&A transactions in Artificial Intelligence Software recorded from SEC filings (8-K announcements and the documents they reference), newest first, with each value and multiple linked to the exact passage in the filing that states it. 70 transactions were recorded for this industry; 12 are shown. 58 recorded transactions with neither a disclosed value nor a multiple are omitted because they say nothing about price; they remain in the companion workbook. Deal multiples are enterprise value over the target's last-twelve-month revenue or EBITDA at announcement, as disclosed; they are not restated to the public basis and no spread to the public multiples is claimed. Before a transaction reaches the record it passes a screen for mirrored or duplicate filings of the same deal, for divestitures where the filer is the seller rather than the buyer, for carve-outs recorded under the parent's name, and for values whose citation describes something other than the price paid (a debt raise, a termination fee); such records are corrected or excluded and the correction is noted. Data-quality notes on this record: 31 × deal value unit unresolved; 28 × no evidence record; 4 × duplicate precedent id; 2 × divestiture roles reassigned; 1 × financial target ev not meaningful. Case studies lead with the 3 richest stories — disclosed value, a readable multiple, newest first.
Sources
Company financials and transaction terms come from the companies' own SEC filings on EDGAR (10-K, 10-Q and 8-K documents), linked from each figure in the report. Forward figures are analyst consensus estimates for the calendar periods shown. Share prices and market capitalisations are market data as of September 28, 2026. Treasury yields are published by the U.S. Department of the Treasury. 739 source documents stand behind this report; by publisher domain: sec.gov, home.treasury.gov (1). Every figure on every page is traceable to one of these records; nothing in the report is derived from outside data.
Interpretation and important notice
Tier labels, situation maps, the agenda and the implications pages are NeuraCap analytical views drawn from the recorded evidence and are labelled as such. The report is informational: it is not investment advice, not a recommendation to buy or sell any security, not an opinion of value and not an offer of any kind. Readers should perform their own diligence before acting on anything described here.
This report is published for information only. It is not a recommendation to buy or sell any security, an offer or solicitation, an appraisal or a fairness opinion, and no fiduciary relationship is created by reading it. Multiples that fail NeuraCap’s plausibility gates are excluded and never plotted. See the full methodology and the disclaimer.
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