This Decagon company profile covers the company's valuation, revenue, funding rounds, investors and history. Decagon works in artificial intelligence, with a focus on AI customer service agents. It was founded in 2023 and is headquartered in San Francisco, California, United States. Its latest valuation on record is US$4.5 billion (January 2026). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.
Revenue
| Metric | Value | As of | Source |
|---|---|---|---|
| Customer growth | More than 100 corporate clients added in 2025, including Avis Budget Group and Deutsche Telekom | January 2026 | Bloomberg |
Funding history
| Date | Round | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| Jan 2026 | Series D | US$250M | US$4.5B | Coatue and Index Ventures (leads); Andreessen Horowitz, Accel, Bain Capital Ventures | MobiHealthNews |
| Jun 2025 | Series C | US$131M | US$1.5B | See source | Wikipedia |
Decagon timeline
Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.
- 2023 — Decagon is founded in San Francisco by Jesse Zhang (CEO) and Ashwin Sreenivas.
- Jun 2025 — Series C: US$131M, valuing the company at US$1.5B.
- Jan 2026 — Series D: US$250M, valuing the company at US$4.5B. Investors: Coatue and Index Ventures (leads); Andreessen Horowitz, Accel, Bain Capital Ventures.
- January 2026 — Customer growth: More than 100 corporate clients added in 2025, including Avis Budget Group and Deutsche Telekom.
Investors
Overview
Decagon builds AI agents that handle customer support for consumer and technology companies. Its agents answer questions, troubleshoot problems, process refunds, update accounts and complete other tasks across chat, email and voice, following each company's policies. The aim is to resolve most routine customer contacts automatically, leaving human agents for complex or sensitive cases.
Jesse Zhang, the CEO, and Ashwin Sreenivas founded Decagon in San Francisco in 2023. Both had founded and sold previous startups: Zhang's Lowkey, a gaming social platform, was acquired by Niantic, and Sreenivas's Helia, a computer vision company, was acquired by Scale AI. Decagon grew quickly, signing well-known technology companies early on and then expanding into large consumer brands.
How Decagon's agents work
Decagon's platform lets companies describe how their agent should handle situations using "agent operating procedures", written in plain language rather than code, so support teams rather than engineers can update them. The agent connects to the company's systems, such as order databases, billing and CRM, to take actions. Companies can test agents on past conversations, monitor live performance, and see analytics on what customers are asking about. Voice agents handle phone calls, still the main contact channel for many industries.
Business model
Decagon sells enterprise contracts, priced largely on usage, such as conversations handled or resolved. Like other AI agent companies, it argues that its pricing should be compared with the cost of human support rather than with traditional software. It doesn't publish revenue; research firms have estimated annualised revenue rising to around US$100 million in 2026, but we show revenue as not disclosed.
Funding
- October 2024, Series B: valued Decagon at about US$650 million.
- June 2025, Series C: US$131 million at a US$1.5 billion valuation.
- January 2026, Series D: US$250 million at US$4.5 billion, led by Coatue and Index Ventures, with Andreessen Horowitz, Accel and Bain Capital Ventures, tripling its valuation in about seven months.
Decagon later ran its first employee tender offer at the same US$4.5 billion valuation, letting staff sell some shares.
Customers
Decagon said it added more than 100 corporate clients in 2025, including Avis Budget Group and Deutsche Telekom. Its earlier customers included technology companies such as Notion, Duolingo, Eventbrite and Rippling. Winning large consumer brands with millions of customer contacts a year is key, since they generate the most usage.
Competition
Decagon's closest competitor is Sierra, Bret Taylor's company, valued much higher. Others include Canadian company Ada, Intercom's Fin agent, Salesforce's Agentforce, Zendesk's AI agents and many startups. Large business process outsourcing firms that run call centres are also adopting AI. Decagon's advantages are its product's ease of use for support teams, strong analytics and rapid customer growth.
Decagon at a glance
Decagon is a San Francisco AI customer service company founded in 2023 by Jesse Zhang and Ashwin Sreenivas. It raised US$131 million at US$1.5 billion in June 2025 and US$250 million at US$4.5 billion in January 2026, led by Coatue and Index Ventures. It added more than 100 corporate clients in 2025, including Avis Budget Group and Deutsche Telekom.
Why AI customer service is crowded
Customer support is one of the clearest uses for AI agents: high volumes of repetitive conversations, measurable outcomes and large labour costs. That clarity has attracted many companies, from startups to the biggest software vendors. Over time, the market may divide between specialist agent platforms like Decagon and Sierra, which focus on quality and flexibility, and features bundled into existing helpdesk and CRM software, which win on convenience. Buyers often run several vendors in pilots before choosing.
Measuring success
Companies evaluating AI support agents typically track the resolution rate (share of conversations solved without a human), customer satisfaction scores, accuracy and policy compliance, average handling time, and cost per contact. A high resolution rate means little if customers are frustrated, so satisfaction and accuracy are as important as automation levels. Decagon's analytics aim to show where the agent struggles so teams can improve its procedures.
Pilot checklist
- Start with high-volume, low-risk request types.
- Agree how "resolved" will be measured before signing.
- Test the agent on difficult, real past conversations.
- Check how easily support staff can update its behaviour.
Voice is the next battleground
Text chat was the first channel where AI agents worked well, but many industries still handle most customer contacts by phone: airlines, car rental, banking, utilities and healthcare. Voice is harder. The agent must understand accents and background noise, respond quickly enough to feel natural, handle interruptions and know when to transfer to a person. Advances in speech recognition and voice generation, from companies such as ElevenLabs, have made convincing voice agents possible. For Decagon, winning phone traffic at large consumer brands could multiply usage, because calls are expensive to handle with people and volumes are high.
Voice also raises the stakes. A poor phone experience frustrates customers more than a clumsy chat, and regulated industries need recordings, consent and accurate disclosures. Vendors that combine natural conversation with strong controls and reporting are best placed to win these contracts.
The team-building challenge
Fast-growing AI startups like Decagon face intense competition for engineers and for experienced enterprise sales and implementation staff. Employee tender offers, like the one Decagon ran in 2026, help retain people by letting them turn some equity into cash. Large customers also want reassurance that a young vendor will be around for years, which is one reason well-funded startups emphasise their balance sheets in sales conversations.
What could come next
Watch for a new funding round, revenue disclosures, voice agent growth, international expansion and the competitive response from large software vendors.
Perspectives
Support leaders can use AI agents to handle surges and routine requests while improving service hours. Founders can learn from Decagon's focus on tools non-engineers can use. Investors should compare Decagon's valuation and growth with Sierra's, and watch whether bundled offerings from incumbents slow specialist vendors.
Latest developments (October 2026)
Decagon's January 2026 round of US$250 million, led by Coatue and Index Ventures at US$4.5 billion, remains its latest, according to Bloomberg. That tripled its valuation from mid-2025. Decagon competes with Sierra and others to replace traditional customer support software with AI agents. See our AI agent companies guide.
Sources
Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.
Frequently asked questions
What does Decagon do?
Decagon is a artificial intelligence / ai customer service agents company headquartered in San Francisco, California, United States. It was founded in 2023.
What is Decagon's valuation?
Decagon was valued at US$4.5 billion as of January 2026, according to MobiHealthNews. Private company valuations are set at funding rounds or share sales and can change significantly between them.
How much revenue does Decagon make?
Decagon is a private company and has not publicly disclosed its revenue. Figures on third-party sites are usually modelled estimates rather than numbers reported by the company.
What was Decagon's latest funding round?
The most recent financing we have verified is a series d in Jan 2026: US$250M, at a valuation of US$4.5B. Source: MobiHealthNews.
Who are Decagon's investors?
Investors named in public announcements include Coatue, Index Ventures, Andreessen Horowitz, Accel, Bain Capital Ventures and Elad Gil.
Who founded Decagon?
Decagon was founded in 2023 by Jesse Zhang (CEO) and Ashwin Sreenivas.
Is Decagon a public company?
No. Decagon is a private company (private, venture backed), so its shares are not traded on a stock exchange and it isn't required to publish its financial results.
Where is Decagon headquartered?
Decagon is headquartered in San Francisco, California, United States.