# Decagon (company)

**Decagon** is an enterprise AI company, founded in August 2023 by Jesse Zhang and Ashwin Sreenivas, that builds conversational AI agents for customer support and, more recently, broader "AI concierge" experiences<sup>[1](https://sacra.com/c/decagon/)</sup><sup> • </sup><sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup>. Its agents answer customer questions and take actions such as tracking orders, issuing returns, and booking travel on behalf of companies including Duolingo, Rippling, Substack, Oura, and Avis Budget Group<sup>[3](https://decagon.ai/blog/series-c-announcement)</sup><sup> • </sup><sup>[4](https://claude.com/customers/decagon)</sup><sup> • </sup><sup>[5](https://www.bloomberg.com/news/articles/2026-01-28/ai-customer-support-startup-decagon-valued-at-4-5-billion)</sup>. By January 2026 the company had raised $481 million over ten rounds and was valued at $4.5 billion<sup>[6](https://www.cbinsights.com/company/decagon/financials)</sup>.

| Key fact | Detail |
|---|---|
| Founded | August 2023, by Jesse Zhang and Ashwin Sreenivas, who met at a founders' retreat in Utah<sup>[1](https://sacra.com/c/decagon/)</sup><sup> • </sup><sup>[7](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)</sup> |
| Product | AI agents for chat, email, voice, and SMS, built on Agent Operating Procedures (AOPs) and a network of frontier and specialized models<sup>[8](https://decagon.ai/product/overview)</sup> |
| Funding | $481 million over 10 rounds; $65M Series B at $650M (Oct 2024), $131M Series C at $1.5B (June 2025), $250M Series D at $4.5B (Jan 2026)<sup>[6](https://www.cbinsights.com/company/decagon/financials)</sup><sup> • </sup><sup>[7](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)</sup><sup> • </sup><sup>[3](https://decagon.ai/blog/series-c-announcement)</sup><sup> • </sup><sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup> |
| Customers | More than 100 large enterprises, including Avis Budget Group, Block, Deutsche Telekom, 1-800-Flowers, Quince, Oura Health, and Away Travel<sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup><sup> • </sup><sup>[9](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)</sup> |
| Reported outcomes | Average deflection nearing 70% (June 2025) and exceeding 80% (Jan 2026); Duolingo above 80%; Oura reported a 3x CSAT increase; ClassPass a 95% decrease in support conversation cost<sup>[3](https://decagon.ai/blog/series-c-announcement)</sup><sup> • </sup><sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup> |
| Pricing | Per-conversation and higher-priced per-resolution models on top of a reported $50,000 annual platform fee; Vendr reports a median annual contract of about $386,000<sup>[10](https://fin.ai/learn/sierra-vs-decagon-vs-ada)</sup> |
| Revenue | Undisclosed since late 2024, when ARR passed eight figures; Sacra estimates $44M annualized at end of 2025, Forbes estimates $12M for 2025<sup>[9](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)</sup><sup> • </sup><sup>[1](https://sacra.com/c/decagon/)</sup><sup> • </sup><sup>[11](https://www.forbes.com/sites/alexyork/2026/02/06/ai-agent-startup-decagon-triples-valuation-to-45-billion/)</sup> |

## History and founding

Jesse Zhang teamed up with Ashwin Sreenivas, whom he met at a founders' retreat in Utah, in August 2023 to found Decagon<sup>[7](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)</sup>. The company spent roughly its first year in stealth, emerging in time to raise a $65 million Series B led by [Bain Capital Ventures](https://www.edgepedia.org/bain-capital-ventures) in October 2024, which valued it at $650 million with $100 million in total funding; the round was earmarked for team growth and adding a voice feature<sup>[7](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)</sup>.

Growth after the stealth exit was rapid by the company's own account: Decagon reported growing from zero to eight-figure annual recurring revenue in the year before June 2025<sup>[3](https://decagon.ai/blog/series-c-announcement)</sup>.

## Product and technology

**Agent Operating Procedures.** Decagon's central abstraction is the Agent Operating Procedure (AOP): customer-experience teams write agent behavior in natural language, and the instructions automatically compile into code that handles complex, real-world situations without custom engineering for each new use case<sup>[3](https://decagon.ai/blog/series-c-announcement)</sup>. Non-technical teams architect and iterate on agent logic with AOPs and a companion tool called Duet, while technical teams retain visibility and control over guardrails, integrations, and versioning<sup>[8](https://decagon.ai/product/overview)</sup>. Duet analyzes customer conversations to identify workflow gaps and automatically generates, tests, and refines AOPs, compressing what the company describes as days of iteration into minutes<sup>[8](https://decagon.ai/product/overview)</sup>.

**Models.** Every Decagon agent runs on a proprietary engine powered by a network of frontier and specialized models<sup>[8](https://decagon.ai/product/overview)</sup>. Sacra reports that these combine third-party models from OpenAI, Anthropic, and Cohere with proprietary fine-tuned models trained on enterprise data<sup>[1](https://sacra.com/c/decagon/)</sup>. Anthropic's case study states that Decagon's agents are built on Claude, chosen by Sreenivas for its ability to follow intricate multi-step processes with high accuracy and for enterprise-grade security; Decagon reports reducing over-inferencing rates, cases where the agent draws conclusions beyond what the evidence supports, by 70% after using Claude<sup>[4](https://claude.com/customers/decagon)</sup>.

**Integrations and channels.** The product integrates with ticketing platforms, CRMs, knowledge bases, and contact-center-as-a-service providers, and enforces guardrails for critical operations such as identity verification and refunds<sup>[8](https://decagon.ai/product/overview)</sup>. Agents deploy across chat, email, voice, and SMS, and the company says deployment takes days rather than months<sup>[12](https://www.businesswire.com/news/home/20251110484211/en/Decagon-Announces-Commercial-Pilot-with-Deutsche-Telekom-and-Strategic-Investment-from-T.Capital-to-Fuel-Enterprise-Growth)</sup>. The voice feature added after the Series B extended the platform beyond text<sup>[7](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)</sup>.

## Customers and reported outcomes

Decagon's named customers include Duolingo, Rippling, Substack, Oura, ClassPass, [Chime](https://www.edgepedia.org/chime-company), and, added in the year to January 2026, Avis Budget Group, Block, Deutsche Telekom, 1-800-Flowers, Quince, and Away Travel<sup>[3](https://decagon.ai/blog/series-c-announcement)</sup><sup> • </sup><sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup><sup> • </sup><sup>[9](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)</sup>. The company says its base spans Fortune 100 enterprises in airlines, banking, telecom, and retail alongside technology companies such as Oura Health, Affirm, and Chime<sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup>.

The outcome figures are company-reported. In June 2025 Decagon stated that its customers achieved average deflection rates, a measure of conversations handled without a human agent, nearing 70%, with Duolingo above 80%; Oura reported a 3x increase in CSAT and ClassPass a 95% decrease in the cost of support conversations<sup>[3](https://decagon.ai/blog/series-c-announcement)</sup>. By the January 2026 Series D announcement the claimed platform average had risen to above 80%<sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup>. Use cases include Substack agents that help writers with platform questions, publishing issues, and monetization, and Rippling's replacement of automated decision-tree logic with an agent for HR and payroll guidance<sup>[4](https://claude.com/customers/decagon)</sup>. Bloomberg describes agents that track orders, issue returns, and book travel<sup>[5](https://www.bloomberg.com/news/articles/2026-01-28/ai-customer-support-startup-decagon-valued-at-4-5-billion)</sup>.

Of the more than 100 new enterprise customers added in the year to January 2026, Decagon reports that 33% had no prior AI automation, 53% replaced legacy systems such as IVRs, ticketing tools, or CRM-based agents, and 14% chose Decagon over building in-house<sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup>.

## Business model and pricing

Sacra describes two pricing models: a per-conversation model charging a fixed rate for each incoming customer inquiry with volume discounts, and a higher-priced per-resolution model that charges only when the AI resolves an issue without human intervention<sup>[1](https://sacra.com/c/decagon/)</sup>. Third-party procurement data from Vendr, reported by a vendor comparison site, indicates a median Decagon annual contract of approximately $386,000 and a $50,000 annual platform fee included in all contracts before usage charges<sup>[10](https://fin.ai/learn/sierra-vs-decagon-vs-ada)</sup>.

## Funding and valuation

The funding trajectory since late 2024:

- **October 2024**: $65 million Series B led by Bain Capital Ventures, at a $650 million valuation, bringing total funding to $100 million<sup>[7](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)</sup>.
- **June 2025**: $131 million Series C at a $1.5 billion valuation, one year after emerging from stealth, co-led by Accel and [Andreessen Horowitz](https://www.edgepedia.org/andreessen-horowitz) with participation from A*, Bain Capital Ventures, BOND, Avra, Forerunner, and [Ribbit Capital](https://www.edgepedia.org/ribbit-capital)<sup>[3](https://decagon.ai/blog/series-c-announcement)</sup>.
- **January 2026**: $250 million Series D led by [Coatue Management](https://www.edgepedia.org/coatue-management) and Index Ventures, tripling the valuation to $4.5 billion in under six months; new investors included ChemistryVC, Definition Capital, and Starwood Capital, with continued support from a16z, A*, Accel, Avra, Bain Capital Ventures, Elad Gil, Forerunner, Ribbit Capital, and T.Capital<sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup>.
- **March 2026**: the company completed its first tender offer at the $4.5 billion valuation<sup>[9](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)</sup>.

[CB Insights](https://www.edgepedia.org/cb-insights) records $481 million raised over 10 rounds from 40 investors<sup>[6](https://www.cbinsights.com/company/decagon/financials)</sup>.

**Revenue estimates conflict.** Decagon has not disclosed revenue since late 2024, when its ARR surpassed eight figures<sup>[9](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)</sup>. Sacra estimates $44 million in annualized revenue at the end of 2025, rising to $100 million by July 2026, with Q3 2025 GAAP revenue and ARR each growing more than 3x year over year<sup>[1](https://sacra.com/c/decagon/)</sup>. Forbes, writing in February 2026, put estimated 2025 revenue at $12 million, noting that Decagon competes against [Salesforce](https://www.edgepedia.org/salesforce), Intercom, and Zendesk, companies whose revenue far exceeds that figure<sup>[11](https://www.forbes.com/sites/alexyork/2026/02/06/ai-agent-startup-decagon-triples-valuation-to-45-billion/)</sup>. The two estimates differ by nearly a factor of four and have not been reconciled; both are estimates rather than company disclosures.

## Competitive landscape and market

Sierra is a dedicated competitor, which reached a $4.5 billion valuation with $175 million in Series B funding as of October 2024 and counts [WeightWatchers](https://www.edgepedia.org/ww-international) and SiriusXM among its clients<sup>[1](https://sacra.com/c/decagon/)</sup>. Competitors also include the incumbent support-software vendors Salesforce, Zendesk, and Intercom<sup>[11](https://www.forbes.com/sites/alexyork/2026/02/06/ai-agent-startup-decagon-triples-valuation-to-45-billion/)</sup>. On pricing practice, Sierra does not charge for unresolved conversations in most cases, while Ada charges for every conversation regardless of outcome; Decagon offers both per-conversation and per-resolution models<sup>[10](https://fin.ai/learn/sierra-vs-decagon-vs-ada)</sup>.

The market context is a large labor pool being addressed by automation. Gartner estimates there are 17 million contact center agents worldwide, a workforce that companies including Decagon, Sierra, Intercom, and Parloa aim to automate<sup>[9](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)</sup>. One secondary estimate cited by Sacra projects the customer support automation market growing from $308 million in 2022 to $2.89 billion by 2032<sup>[1](https://sacra.com/c/decagon/)</sup>.

## Measurement, guardrails, and reliability

Decagon's stated controls for high-stakes operations are strict guardrails around identity verification and refunds, integrations that let technical teams manage versioning, and a QA product called Watchtower that provides always-on monitoring with custom natural-language evaluation criteria<sup>[8](https://decagon.ai/product/overview)</sup><sup> • </sup><sup>[10](https://fin.ai/learn/sierra-vs-decagon-vs-ada)</sup>. The [Deutsche Telekom](https://www.edgepedia.org/deutsche-telekom) pilot is structured around measurable targets: resolution time, CSAT/NPS, and recontacts, with focused scope and week-over-week progress<sup>[12](https://www.businesswire.com/news/home/20251110484211/en/Decagon-Announces-Commercial-Pilot-with-Deutsche-Telekom-and-Strategic-Investment-from-T.Capital-to-Fuel-Enterprise-Growth)</sup>.

Independent research frames what production support agents must be measured against. A peer-reviewed survey of LLM-based multi-turn conversational agents organizes evaluation around three targets: task success, response quality, and end-to-end user experience<sup>[13](https://dl.acm.org/doi/10.1145/3793671)</sup>. A paper from Nubank, a company with more than 100 million users, describes a production framework combining structured context engineering, systematic human-in-the-loop prompt iteration, and rigorous LLM evaluation, concluding that large-scale deployments depend on evaluation-driven development rather than raw model capability<sup>[14](https://dl.acm.org/doi/10.1145/3770855.3818332)</sup>. These dimensions correspond to the metrics Decagon and its customers report.

## Recent developments

The company's trajectory since its August 2023 founding compresses several industry shifts. It raised its $65 million Series B at a $650 million valuation in October 2024, doubled to $1.5 billion by June 2025, and tripled again to $4.5 billion by January 2026, with a tender offer completed in March 2026<sup>[7](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)</sup><sup> • </sup><sup>[3](https://decagon.ai/blog/series-c-announcement)</sup><sup> • </sup><sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup><sup> • </sup><sup>[9](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)</sup>. Product scope has widened from support tickets toward what the company calls the "AI concierge": agents that take actions such as booking travel and issuing returns, not only answering questions<sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup><sup> • </sup><sup>[5](https://www.bloomberg.com/news/articles/2026-01-28/ai-customer-support-startup-decagon-valued-at-4-5-billion)</sup>. Strategic validation came in November 2025, when Deutsche Telekom launched a commercial pilot and its corporate venture arm T.Capital invested<sup>[12](https://www.businesswire.com/news/home/20251110484211/en/Decagon-Announces-Commercial-Pilot-with-Deutsche-Telekom-and-Strategic-Investment-from-T.Capital-to-Fuel-Enterprise-Growth)</sup>. The customer mix also shows the displacement pattern: a majority of new enterprise customers replaced legacy systems such as IVRs and ticketing tools rather than adopting AI automation for the first time<sup>[2](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)</sup>.

## References

1. [Decagon revenue, valuation & funding, Sacra](https://sacra.com/c/decagon/)
2. [Decagon's Valuation Triples to $4.5 Billion as it Ushers in the Age of AI Concierge, Business Wire](https://www.businesswire.com/news/home/20260128580542/en/Decagons-Valuation-Triples-to-%244.5-Billion-as-it-Ushers-in-the-Age-of-AI-Concierge)
3. [Decagon raises Series C at $1.5B valuation, Decagon blog](https://decagon.ai/blog/series-c-announcement)
4. [Decagon Claude Platform (API) case study, Anthropic](https://claude.com/customers/decagon)
5. [AI Customer Support Startup Decagon Valued at $4.5 Billion, Bloomberg](https://www.bloomberg.com/news/articles/2026-01-28/ai-customer-support-startup-decagon-valued-at-4-5-billion)
6. [Decagon Stock Price, Funding, Valuation, Revenue & Financial Statements, CB Insights](https://www.cbinsights.com/company/decagon/financials)
7. [This Company's AI Agents Won Contests To Secure Big Customers. Now It's Raised $65 Million, Forbes](https://www.forbes.com/sites/rashishrivastava/2024/10/15/this-companys-ai-agents-won-contests-to-secure-big-customers-now-its-raising-65-million/)
8. [Products for Conversational AI, Decagon](https://decagon.ai/product/overview)
9. [Decagon completes first tender offer at $4.5B valuation, TechCrunch](https://techcrunch.com/2026/03/04/decagon-completes-first-tender-offer-at-4-5b-valuation/)
10. [Sierra vs Decagon vs Ada: 2026 AI Agent Comparison, Fin.ai](https://fin.ai/learn/sierra-vs-decagon-vs-ada)
11. [AI Agent Startup Decagon Triples Valuation To $4.5 Billion, Forbes](https://www.forbes.com/sites/alexyork/2026/02/06/ai-agent-startup-decagon-triples-valuation-to-45-billion/)
12. [Decagon Announces Commercial Pilot with Deutsche Telekom and Strategic Investment from T.Capital, Business Wire](https://www.businesswire.com/news/home/20251110484211/en/Decagon-Announces-Commercial-Pilot-with-Deutsche-Telekom-and-Strategic-Investment-from-T.Capital-to-Fuel-Enterprise-Growth)
13. [Evaluating LLM-based Agents for Multi-turn Conversations: A Survey, ACM TIST](https://dl.acm.org/doi/10.1145/3793671)
14. [Building Customer Support AI Agents at 100M-User Scale: An Evaluation-Driven Framework, ACM SIGKDD](https://dl.acm.org/doi/10.1145/3770855.3818332)

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*Topic: Encyclopedia › Technology and the built world › Computing and digital systems › Modern AI: foundation models, generative AI, and the AI industry › AI companies, people, and products › AI startups and application companies › Enterprise and vertical AI applications*

*Initially written Sep 17, 2026 · Reviewed: Oct 15, 2026 · Edited: Oct 11, 2026; Oct 15, 2026 · Last review: Oct 15, 2026*

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License: Edgepedia Community License 1.0, https://www.edgepedia.org/edgepedia/license
