Decagon
Unicorn · $4.5BSan Francisco, US · Founded 2023 · Delaware corporation · 19 known investors
Decagon provides AI agents that enable businesses to deliver personalized customer experiences at scale. The platform targets brands seeking to implement concierge-level service for their customer base.
Also known as Decagon AI · Decagon AI, Inc.
Founders & leadership
Decagon was founded in 2023 by Jesse Zhang and Ivan Zhou.
Board
Investors · 19
Also in the syndicate · 4
Reported raises · per SEC filings
Form D private placements$61.5M disclosed across 1 of 4 rounds · 2024–2026
▶$61.5MraisedDec 2024 · 9 investors · OtherRule 506(b)
- Aaref HilalyDirector
- Jesse ZhangExecutive Officer, Director
- Ivan ZhouDirector
- Ashwin SreenivasDirector
- Offering amount
- $65M
- Amount sold
- $61.5M
- First sale
- Oct 2024
- Incorporated
- Corporation, Delaware, 2023
- Federal exemptions
- 06b
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Valuation · disclosed
Disclosed eventsSource: SEC prospectus filings, and round valuations the company or its investors disclosed — follow each entry's link for the claim.
Company profile
researched Aug 2026Decagon AI, Inc. is a San Francisco–based artificial intelligence company that develops conversational AI agents for customer service and customer experience. Its agents handle interactions across chat, email, voice and SMS, autonomously performing tasks such as answering product questions, tracking orders, processing returns and refunds, troubleshooting, booking travel and canceling subscriptions. The company positions its product as an "AI concierge" intended to deliver personalized, proactive service across the customer lifecycle rather than only deflecting support tickets.
The platform is organized around building, optimizing and scaling agents. Agents are defined through "Agent Operating Procedures" (AOPs) written in natural language, which the company presents as an alternative to configuration languages and SDK-based implementations that require engineering sprints or vendor tickets to change. A companion tool, Duet, analyzes customer conversations to identify workflow gaps and automatically generates, tests and refines AOPs. Optimization features include simulated conversations, unit testing, versioning, A/B experiments and step-by-step observability into why an agent made a given decision. Analytics capabilities include diagnostic recommendations, voice-of-customer analysis and Watchtower, an always-on monitoring and QA tool. Additional capabilities include cross-session and cross-channel memory, guardrails for sensitive operations such as identity verification and refunds, and integrations with ticketing platforms, CRMs, knowledge bases and CCaaS providers.
A third-party vendor comparison page describes Decagon's architecture as prioritizing autonomous, self-contained resolution over coordination with human agents, and argues that it offers limited workforce management integration, routing and escalation logic for complex multi-geography, multi-BPO support operations.
Founding story
According to reporting on the Series D, Zhang and Sreenivas met at a Utah retreat hosted by Andreessen Horowitz and then canvassed businesses about where AI could deliver the most impact. Customer support repeatedly emerged as the most urgent pain point, with companies reporting they could not hire support staff fast enough to meet demand.
Business model
Decagon sells an enterprise software platform on which customer-facing organizations deploy AI agents that automate support interactions; the sources describe the value proposition as reducing support operations costs and headcount while increasing deflection and resolution rates. Specific pricing terms are not disclosed in the available sources.
Not specified in the sources beyond enterprise software sales; a third-party page reports the company had over $10 million in signed annual recurring revenue, having grown from zero to eight figures in ARR in its first year.
Traction
Company-published figures cite over 10 million customers served, an 80% deflection rate, 65% decrease in support operations costs and a 93% agent quality score. Customer results cited include 70% chat and voice resolution at Chime, 95% cost reduction, 3x increase in CSAT, 50%+ deflection on voice and $1M in revenue from fully AI-handled conversations. Decagon said more than 100 new global enterprise customers joined during the fiscal year preceding the January 2026 Series D. A third-party source reports over $10 million in signed ARR, that Bilt reduced support headcount from hundreds to 65, and that ClassPass handled over 2.5 million conversations with a 95% reduction in cost per reservation. The company declined to quantify its revenue growth to press covering the Series D.
Latest developments
In January 2026 Decagon announced a $250 million Series D led by Coatue Management and Index Ventures, tripling its valuation to $4.5 billion in under six months, with participation from ChemistryVC, Definition Capital, Starwood Capital and existing investors including a16z, A*, Accel, Avra, Bain Capital Ventures, Elad Gil, Forerunner, Ribbit Capital and T.Capital. The company is promoting its Decagon Dialogues 2026 event and markets recent capabilities including Decagon Voice, Proactive Agents (used by Hertz for outbound issue resolution) and the Duet agent-building assistant.
▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies
Market position
Decagon is described in press coverage as a leading player in AI-powered customer service, competing with newer rivals such as Sierra Technologies and established enterprise software vendors such as Salesforce. Its January 2026 valuation of $4.5 billion, up threefold in under six months, was cited as evidence of investor conviction in AI-driven customer support as an enterprise software category.
The company contrasts its approach with legacy CRM, chatbot and first-wave AI assistant systems as well as vendors requiring complex SDKs, black-box implementations and vendor tickets for changes. Its stated differentiators are natural-language Agent Operating Procedures, the Duet co-pilot for generating and refining agent logic, a unified intelligence layer spanning chat, voice and email, cross-channel memory, and observability and experimentation tooling that supports rapid iteration. It also emphasizes proactive/outbound agents, such as calling travelers to rebook flights after cancellations.
Technology
Decagon's agents are built on a proprietary agent engine that combines a network of frontier and specialized models; a third-party source states the agents are built on foundation models from OpenAI, Anthropic and Cohere, layered with company-specific data from help centers and historical conversations. The system uses natural-language Agent Operating Procedures instead of code-based configuration, maintains memory across sessions and channels, and applies guardrails and access controls for secure operations. Supporting tooling covers simulation and unit testing, versioning and A/B experimentation, decision-level tracing, and monitoring/QA via Watchtower. Voice agents were launched in partnership with ElevenLabs in 2025.
Go-to-market
Direct enterprise sales with demo requests as the primary website conversion path, supported by published customer stories and quantified ROI claims, a resource hub, and a company event series (Decagon Dialogues). The company markets to non-technical CX teams by emphasizing that agent logic can be built and iterated without engineering involvement.
Large enterprises and fast-scaling, digital-first consumer and technology companies with high interaction volumes and repeatable support workflows. Named customers across the sources include Avis Budget Group, Chime, Oura Health, 1-800-FLOWERS.COM, Hunter Douglas, Block, Deutsche Telekom, Affirm, Away, Hertz, Noom, Faire, Notion, Duolingo, Substack, Bilt, Rippling and ClassPass.
Geography
Headquartered in San Francisco, California, with additional offices in New York City and London. Customers include global enterprises such as Deutsche Telekom and Avis Budget Group.
History
Decagon was founded in August 2023 by Jesse Zhang and Ashwin Sreenivas. Prior to Decagon, Zhang founded Lowkey, a social gaming clip-sharing app acquired by Niantic in 2021; Sreenivas founded Helia, a real-time video AI startup acquired by Scale AI in 2020. The company emerged from stealth in June 2024 and was reported by Forbes in October 2024 to have raised $65 million. A $131 million Series C in mid-2025 led by Andreessen Horowitz and Accel valued the company at $1.5 billion, and in January 2026 Decagon announced a $250 million Series D led by Coatue Management and Index Ventures at a $4.5 billion valuation.
Risks & controversies
A competitor-authored comparison page (Assembled) asserts that Decagon's architecture favors autonomous, self-contained resolution over collaboration, and that teams with complex multi-geography, multi-vendor, SLA-driven operations encounter gaps in routing, context transfer, real-time workforce visibility, workforce management integration and escalation logic; this source is a vendor marketing piece and not independent. Press coverage also notes intensifying competition from Sierra Technologies and Salesforce, and that Decagon has declined to quantify its revenue growth.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Founder mafia
The Decagon mafia →6 people who came through Decagon went on to found or lead other companies.
Competitors · 7
by search overlap
Companies competing with Decagon for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 5
launches, deals, and filingsDecagon raised $250 million led by new investors Coatue Management and Index Ventures, with participation from ChemistryVC, Definition Capital and Starwood Capital and existing investors including a16z, A*, Accel, Avra, Bain Capital Ventures, Elad Gil, Forerunner, Ribbit Capital and T.Capital. The round tripled the company's valuation to $4.5 billion in under six months.
$250M source ↗
Decagon stated that over 100 new global enterprise customers joined in the preceding fiscal year, including Avis Budget Group, Block and Deutsche Telekom.
Decagon partnered with ElevenLabs to launch voice agents intended to produce more natural, human-sounding conversations.
Press coverage in June 2024 reported Decagon emerging from stealth to provide human-like AI agents for enterprise customer support.
Decagon AI, Inc. was founded in August 2023 by Jesse Zhang and Ashwin Sreenivas, who met at a Utah retreat hosted by Andreessen Horowitz and surveyed businesses on where AI could have the most impact before settling on customer support.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
Legal entities · 1
corporate structureIn the news
▸Research sources · 8
primary sources listed
- Decagondecagon.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Decagon do?
- Decagon builds enterprise AI agents that resolve customer service interactions across chat, voice, email and SMS.
- Who founded Decagon?
- Decagon was founded by Jesse Zhang, Ivan Zhou in 2023.
- Who are Decagon's investors?
- Decagon's investors include A*, Accel, ACME Capital, Andreessen Horowitz, Atacama Ventures, Audacious, Bain Capital Ventures, Coatue Management and 7 more.
- How much funding has Decagon raised?
- Decagon has disclosed $61.5M raised across 1 of its 4 known rounds.
- Where is Decagon headquartered?
- Decagon is headquartered in San Francisco, US.