Decagon Due Diligence

Run due diligence on Decagon: check compliance and get alerts when suppliers change.

United States · decagon.ai · 33 vendors

Decagon is an enterprise AI platform that develops, optimizes, and scales AI agents for customer experience automation. The platform enables businesses to deliver personalized and efficient customer support across various channels, including chat, email, and voice. Its AI agents handle end-to-end customer support tasks, from answering product questions to processing refunds and cancellations.

Resilience scores

Technology vendors

Services catalogue

3 services in catalogue across 2 categories; runs on 33 sub-vendors.

Insights

Last updated 2026-10-23 · revision 6

33 direct vendors, 262 subvendors

Direct vendors by controlling owner country (sample)

Subvendors by controlling owner country (sample)

Compliance

4 in-scope frameworks identified; showing 3.

ISO 27001 (source) — No public evidence

Evidence: https://decagon.ai/security

SOC 2 (source) — No public evidence

Evidence: https://decagon.ai/security

HIPAA (source) — No public evidence

Evidence: https://decagon.ai/about, https://decagon.ai/security

Financials

Three-year financials

Financial Resilience Score: 7/10

Decagon has achieved unicorn status (~$1.5B valuation) within approximately 2–3 years of founding, backed by a top-tier venture capital syndicate including a16z, Accel, Coatue, Bain Capital Ventures, and Index Ventures. The company raised ~$175M+ in cumulative funding, with the most recent $100M Series C in January 2025, providing an estimated 18–36+ months of runway depending on burn rate. The ~3× valuation step-up from Series B (~$500M) to Series C (~$1.5B) in under 12 months signals strong investor confidence and rapid commercial traction. The company demonstrates strong product-market fit through a blue-chip enterprise customer base spanning fintech, retail, travel, health, media, and gaming — including Hertz, Chime, Duolingo, Figma, Notion, Dropbox, Affirm, Rippling, Mercado Libre, Cash App, Square, and Riot Games. Publicly cited customer outcomes (80% deflection rate at Duolingo, 95% cost reduction at ClassPass, 70% chat/voice resolution at Chime, 3× CSAT increase at Oura) support retention and upsell potential. The platform has served 10M+ end customers in aggregate, indicating meaningful scale. However, as a growth-stage startup, Decagon is almost certainly operating at a loss with an undisclosed burn rate. The company faces intense competition from well-resourced incumbents (Salesforce, Zendesk, Intercom) and AI-native rivals (Sierra AI, Ada, Forethought). Its product is dependent on third-party LLM providers, introducing margin and continuity risk. The $1.5B valuation on undisclosed revenue also carries execution and valuation-reset risk if growth slows or the AI/SaaS market re-rates. Overall, Decagon's financial resilience is above average for its stage, anchored by substantial cash reserves, elite institutional backing, and demonstrated enterprise traction, but tempered by the absence of any disclosed path to profitability and the inherent risks of a high-growth, pre-revenue-disclosure AI startup.

Key strengths: Elite investor syndicate: a16z, Accel, Coatue, Bain Capital Ventures, Index Ventures, ~$175M+ cumulative funding raised; $100M Series C in January 2025, Unicorn valuation of ~$1.5B achieved within 2–3 years of founding, ~3× valuation step-up from Series B to Series C in under 12 months, Blue-chip enterprise customer base across multiple industries, Demonstrated ROI metrics: 80% deflection (Duolingo), 95% cost reduction (ClassPass), 3× CSAT (Oura), 10M+ end customers served across platform deployments, Omnichannel platform (chat, voice, email) increases enterprise switching costs, Estimated 18–36+ months of cash runway post-Series C

Risk factors: No revenue, EBIT, or equity figures publicly disclosed — financial health cannot be independently verified, Almost certainly operating at a loss with unknown burn rate, No disclosed path to profitability, Highly competitive market: Salesforce, Zendesk, Intercom, ServiceNow, Sierra AI, Ada, Forethought, LLM dependency on third-party providers (OpenAI, Anthropic) — API pricing and availability risk, Unknown customer concentration — single customer may represent disproportionate revenue share, Valuation reset risk at ~$1.5B on undisclosed revenue if growth slows or market re-rates, Private market illiquidity — no IPO or M&A exit announced

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Revenue by product/service

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