C3.ai
Public enterprise-AI platform (NYSE: AI) — the C3 Agentic AI Platform with vertical applications across defense, federal, oil and gas, manufacturing and utilities. Founded by Tom Siebel in 2009 and IPO’d December 2020. New CEO Stephen Ehikian appointed September 2025 after founder Siebel transitioned to Executive Chairman due to health concerns; defense and federal customers now drive a materially larger share of bookings with the U.S. Air Force PANDA $450M cumulative contract as the flagship deployment.
The Business
C3.ai is a public enterprise-AI platform company (NYSE: AI) building the C3 Agentic AI Platform and a suite of vertical applications across defense, federal, oil and gas, manufacturing and utilities. Founded by Tom Siebel in 2009 after his successful exit from Siebel Systems (acquired by Oracle in 2006), the company IPO’d in December 2020 at a ~$7B valuation. FY25 revenue was $389.1M (+25% YoY) with subscription revenue at $327.6M (+18%) and 84% of total revenue. FY25 closed 264 agreements including 174 initial production deployments (+41% YoY). The product roadmap is anchored on C3 Agentic Everywhere, Agentic Process Automation, Data Fusion, Vision and a Developer Hub.
Founder Tom Siebel initiated CEO succession on July 24, 2025 due to an autoimmune disease causing significant visual impairment. Stephen Ehikian was appointed CEO effective September 1, 2025, joining from the U.S. General Services Administration where he was Acting Administrator. Siebel continues as Executive Chairman with operational responsibility for strategy, product innovation and the senior-most federal-defense relationships.
Customers and Distribution
C3.ai’s customer mix has shifted materially toward federal and defense buyers through 2025 and 2026. The U.S. Air Force PANDA predictive-maintenance contract is the flagship deployment: an initial $100M contract expanded by $350M in 2025 for total cumulative scope of $450M through October 2029, with PANDA designated as the Air Force’s system of record for predictive maintenance under the DoD CBM+ strategy. Federal, defense and aerospace bookings were +89% YoY in Q2 FY26 per the earnings call. Commercial-vertical customers historically span energy (Shell, ExxonMobil), utilities, manufacturing, and consumer-packaged goods through partnerships with Baker Hughes and the Microsoft Azure marketplace.
Distribution runs through three principal channels: direct enterprise and federal sales (the dominant channel for initial production deployments and the federal-defense bookings cadence), the Baker Hughes joint-venture channel for oil and gas, and the Microsoft Azure marketplace and cloud-partnership distribution. The Q3 FY26 revenue miss ($53.3M vs $75.91M consensus) and the strategic restructuring announced concurrently are the principal active variables on the trajectory; the FY26 full-year revenue guidance of $246.7M–$250.7M is the public anchor for the next four quarters.
Model Strategy
C3.ai is a Verticals-first play under the IM Framework eight-trajectories taxonomy applied to enterprise and federal AI: the strategic bet is that deep vertical applications on a unified C3 Agentic AI Platform — predictive maintenance for defense and aerospace, anti-money-laundering for financial services, production optimisation for energy and utilities — beat horizontal hyperscaler-platform competition through procurement-relationship depth and federal-authorisation breadth. The platform is model-agnostic at the foundation layer (uses OpenAI, Anthropic, Google and open-source models depending on customer deployment and authorisation requirements). The strategic repositioning under Stephen Ehikian centres on the agentic-AI product family — Agentic Everywhere, Agentic Process Automation, Data Fusion, Vision — with federal and defense buyers as the priority customer set.
Competitive substitution from Palantir (Foundry / Gotham / AIP) is the dominant long-run risk: Palantir’s substantially larger defense-revenue base and platform-distribution advantage are the principal structural pressure on C3.ai’s vertical-application strategy. Microsoft Azure AI Foundry and Databricks Mosaic AI compete for the same federal-cleared platform spend through hyperscaler distribution; SAP Joule competes on the embedded-ERP-AI flank in commercial verticals. The platform-layer competitive dynamic is the primary watch-item alongside the federal-defense bookings cadence.
At A Glance
The Numbers
Annualised revenue
FY2025 customer agreements
Headcount (FTE)
Leadership Team
C3.ai is a public company (NYSE: AI) with senior leadership transitioned in 2025 following founder Tom Siebel’s health-driven CEO succession announcement. Stephen Ehikian’s appointment on September 1, 2025 brought in a senior federal-government operator from GSA at exactly the moment the federal-defense customer mix is accelerating. Tom Siebel continues as Executive Chairman with operational responsibility for strategy, product innovation and the senior-most federal-defense relationships. Full leadership and SEC filings are at the C3.ai investor-relations site.
IM Framework Scoring
IM’s structured assessment of C3.ai’s competitive position. The summary below is the headline; expand “Show the full analyst-grade analysis” near the bottom for the per-dimension reasoning and evidence. Methodology →
Funding History
| Date | Round | Raised | Post-money | Lead investor(s) |
|---|---|---|---|---|
| Dec 2020 | IPO (NYSE: AI) | $651M raised in IPO | ~$7B at IPO | Morgan Stanley, JPMorgan, BofA Securities |
| 2020 | Series E (pre-IPO) | $100M | ~$3.3B | Spring Creek Capital, Wildcat Capital |
| 2018 | Series D | $100M | ~$1.4B | TPG Growth |
| 2013–2016 | Series A through Series C | ~$95M cumulative | — | Sutter Hill, Breyer Capital, Makena Capital |
C3.ai is publicly listed on the NYSE under ticker AI from December 9, 2020. The IPO priced at $42 (above the $36–$38 range) and raised approximately $651M at a ~$7B valuation. Pre-IPO cumulative venture capital was approximately $295M across Series A through E. Post-IPO funding is from operations and the public-equity capital markets; the company has executed share-repurchase programs and continues to fund the agentic-AI repositioning from cash on hand. SEC filings (10-K, 10-Q, 8-K) at the C3.ai investor relations site are the canonical source.
Competitive Landscape
| Competitor | Positioning | Distribution edge | Threat profile |
|---|---|---|---|
| Palantir ((NYSE: PLTR)) |
Foundry plus AIP (Artificial Intelligence Platform) as the operational ontology + agent layer on top — positions itself as the enterprise AI operating system rather than a library of pre-built apps. | Direct sales into US defense, intelligence and Fortune 500; long forward-deployed-engineer engagements with multi-year contract structures; commercial momentum has materially outpaced C3.ai in 2024-2026. | High — the dominant federal-defense AI platform competitor with the Foundry / Gotham / AIP stack; substantially larger defense-revenue base and the principal head-to-head for U.S. DoD and federal civilian procurement on agentic-AI infrastructure. |
| Anduril | Defense-tech full-stack — Lattice as the AI operating system for autonomous systems plus first-party hardware (Ghost, Roadrunner, Bolt); positions itself as the product-led primary contractor on the autonomy and counter-UAS lanes. | Direct US DoD program-of-record sales, allied-government channels (UK, Australia, Ukraine) and the Five Eyes export envelope; competes on Lattice-as-product against the C3.ai government-app footprint. | High — the autonomous-defense-systems incumbent with growing software-platform exposure (Lattice); flanking risk on defense-AI procurement where autonomy and platform layers converge. |
| Microsoft Azure / AI Foundry ((NASDAQ: MSFT)) |
Hyperscaler enterprise-AI stack — Azure AI Foundry, Copilot Studio and the Fabric data platform; positions enterprise AI as a native extension of the Microsoft cloud and the M365 / Dynamics surface. | Bundled into Microsoft Enterprise Agreement renewals; Azure account teams reach every Fortune 500 IT procurement budget with zero additional procurement step. | Medium-High — hyperscaler-distributed agentic-AI platform with deep federal IL5/IL6 cloud authorisation and the principal cross-vertical competitor on the platform layer; flanking through Azure OpenAI Service in defense-cleared environments. |
| Databricks | Lakehouse-anchored data + AI platform — Mosaic AI for model training and serving, Genie / Agent Bricks for the agentic layer; positions enterprise AI as a workload on top of governed Unity Catalog data rather than as a vertical app catalogue. | Direct enterprise sales plus AWS, Azure and GCP marketplaces; embedded in Fortune 500 data-engineering procurement through the lakehouse footprint. | Medium — data-platform incumbent with the Mosaic AI agentic stack and federal cloud authorisation; competes for the AI / data platform spend that C3.ai positions against in oil and gas, manufacturing and utilities verticals. |
| SAP / Joule ((NYSE: SAP)) |
Joule as the generative-AI copilot natively embedded across S/4HANA, SuccessFactors, Ariba and the wider SAP cloud suite; positions enterprise AI as a feature of the ERP-of-record rather than a separate platform purchase. | Bundled into SAP cloud and on-premise renewals; sold through SAP account teams into the SAP-anchored ERP installed base — the same Fortune 500 segment C3.ai targets but with deeper incumbency. | Medium — ERP-embedded agentic-AI in commercial verticals where C3.ai has historical installed base (energy, manufacturing); flanking through the embedded-AI playbook rather than direct platform competition. |
Potential Risks
Revenue trajectory and FY26 guidance reset risk
C3.ai’s FY25 revenue grew 25% to $389.1M but Q3 FY26 revenue missed consensus by 29.79% ($53.3M vs $75.91M forecast) per the February 2026 earnings transcript. FY26 full-year revenue guidance was reset to $246.7M–$250.7M on the Q3 FY26 call (down from the prior trajectory), with a strategic restructuring announced concurrently. The shareholder pressure on the public-equity valuation and the executive transition to new CEO Stephen Ehikian are the principal active variables. Bull case: the FY26 reset clears the decks for an agentic-AI repositioning under fresh leadership. Bear case: the multi-year revenue trajectory has structurally compressed against Palantir and the hyperscaler cohort.
Leadership transition risk from founder to professional CEO
Founder Tom Siebel initiated the CEO succession on July 24, 2025 due to an autoimmune disease causing visual impairment. Stephen Ehikian was appointed CEO effective September 1, 2025 from the U.S. General Services Administration. Siebel continues as Executive Chairman with strategy and partnership responsibility. The transition is well-managed on paper but introduces a structural pattern change: C3.ai was founder-led for 16 years and is now executing a professional-CEO operating model alongside an Executive-Chairman founder. The first 12 months of Ehikian-tenure execution against the federal-defense bookings cadence is the principal watch-item.
Concentrated federal-defense customer mix
Federal, defense and aerospace bookings were +89% YoY in Q2 FY26 per the earnings call; the U.S. Air Force PANDA contract is $450M cumulative scope through October 2029 (initial $100M plus expanded $350M) per the press cycle. The federal concentration is a strength (DoD CBM+ strategy alignment, multi-year contract visibility) and a risk (federal-procurement-cycle exposure, political-administration risk, single-customer concentration in defense). The Stephen Ehikian appointment from GSA is partial mitigation through federal-relationships depth.
Public-equity valuation and shareholder pressure
C3.ai’s NYSE: AI stock price has been under sustained pressure with shareholder advocacy on capital-allocation discipline and strategic direction. The Q3 FY26 strategic restructuring announcement and the FY26 guidance reset are partial responses. The public-equity valuation framing — against Palantir’s substantially larger AI-bookings base — is a structural drag on the disruption-composite scoring.
Competitive substitution from Palantir and hyperscaler platforms
Palantir Foundry / Gotham / AIP is the dominant federal-defense AI platform competitor with materially larger defense-revenue base. Microsoft Azure AI Foundry and Databricks Mosaic AI compete for the same federal-cleared platform spend through the hyperscaler distribution channel. C3.ai’s vertical-applications strategy (energy, manufacturing, utilities, defense) is the differentiator but the platform-layer competitive substitution is the principal long-run risk on the disruption composite.
Recent IM Coverage
- Defense AI — sector landing Jun 2026.
- AI Tracker — Defense AI cohort Jun 2026.
- AI Tracker methodology Jun 2026.
Show recent press coverage of C3.ai
- Sep 2025 — C3.ai Appoints Stephen Ehikian as Chief Executive Officer Effective September 1, 2025 (C3.ai Press Release (8-K))
- Jul 2025 — C3.ai CEO Tom Siebel to Seek Successor Due to Health Concerns (Bloomberg)
- May 2025 — C3.ai Announces Fiscal Fourth Quarter and Fiscal Year 2025 Financial Results (C3.ai FY25 Q4 Earnings (8-K))
- Feb 2026 — C3.ai Reports Third Quarter Fiscal 2026 Financial Results (C3.ai FY26 Q3 Earnings (8-K))
- 2025 — Largest AI deployment in U.S. defense: C3.ai (AI) stock lands $350M Pentagon deal (InvestorsObserver)
- Feb 2026 — C3.ai Q3 2026: Earnings miss, restructuring in focus (Investing.com)
Show the source register for the figures on this page
IM operates a primary-source-where-possible discipline. The figures above come from:
- Revenue: C3.ai reported FY25 revenue of $389.1M (+25% YoY) per the FY25 Q4 earnings 8-K; Q3 FY26 revenue $53.3M (missed $75.91M consensus by 29.79%) and FY26 full-year guidance reset to $246.7M–$250.7M per the Q3 FY26 earnings 8-K and the February 2026 earnings call transcript. Subscription revenue is approximately 84-90% of total revenue across recent quarters.
- Customer agreements: C3.ai closed 264 agreements in FY25 including 174 initial production deployment (IPD) agreements (+41% YoY) per the FY25 Q4 earnings 8-K. Federal, defense and aerospace bookings were +89% YoY in Q2 FY26 per the earnings call. The U.S. Air Force PANDA contract is $450M cumulative scope through October 2029.
- Headcount: C3.ai discloses headcount in its annual 10-K filing with the SEC. The Q3 FY26 strategic restructuring announcement included workforce-reduction commentary; precise current-headcount figures are tracked on the company’s 10-K filings with the SEC.
- Funding to date: C3.ai IPO’d on the NYSE under ticker AI on December 9, 2020, raising approximately $651M at a ~$7B valuation. Pre-IPO cumulative venture capital was approximately $295M across Series A through Series E (lead investors included TPG Growth, Sutter Hill, Breyer Capital, Makena Capital). Post-IPO the company is funded from operations and public-equity capital markets; SEC filings are the canonical source.
Methodology & Disclaimer
For metric definitions, source-tier hierarchy, and decline-to-publish rules, see the tracker methodology. Confidence dots (• green / • amber / • red) follow the same convention as the AI Tracker.
Spotted a figure you believe is wrong? Send corrections to info@informationmatters.net.
Information Matters Framework scores are the considered opinion of the IM team — human and AI — applied to publicly-available evidence under a disclosed methodology. They are not statements of fact about the companies scored and they are not investment advice.
