Who is the CEO of Decagon?

Jesse Zhang is the CEO of Decagon. The company was founded in 2023.

Where is Decagon located?

Decagon is headquartered in San Francisco, United States.

What funding stage is Decagon at?

Decagon is currently at the Established stage.

How many employees does Decagon have?

Decagon has approximately 300+ employees.

Decagon

Category: AI Agents

Enterprise AI agent platform that builds, optimizes, and scales autonomous AI agents for customer support across voice, chat, email, and SMS channels—positioned as 'the AI concierge for every customer.' Decagon was founded in 2023. The company is led by Jesse Zhang. Based in San Francisco, United States. Team size: 300+. Total funding raised: $481.0M. Latest round: Series D ($250.0M, Jan 2026). Key investors include ["Coatue Management","Index Ventures","Accel","Andreessen Horowitz (a16z)","Bain Capital Ventures"].

Founded: 2023
Headquarters: San Francisco, United States
Team size: 300+
Total funding: $481.0M

Value proposition

Enables enterprises to build and deploy AI agents that autonomously resolve complex customer inquiries across all channels, achieving 80% deflection rates and 70% resolution rates while reducing support costs by up to 95%—without requiring extensive engineering resources or long implementation cycles.

Products and solutions

["AI Agent Engine (core platform with self-improving data flywheel)","Agent Operating Procedures (AOPs) - natural language workflow builder","Voice AI Agents (natural dialog, brand-customizable)","Chat AI Agents (complex workflow execution)","Email AI Agents (24/7 issue resolution)","Testing & QA Suite (simulated conversations, A/B testing)","Analytics Dashboard (AI-powered insights, Ask AI feature)","Watchtower (real-time monitoring and guardrails)","Integration Platform (ticketing, CRM, CCaaS, knowledge bases)"]

Unique value

Agent Operating Procedures (AOPs) represent a paradigm shift in AI agent development—natural language instructions that automatically compile into reliable, executable code logic. This democratizes AI development, enabling non-technical teams to build and iterate complex workflows without engineering sprints, while maintaining enterprise-grade precision and reliability. Combined with a unified intelligence layer ensuring consistent experiences across all channels.

Target customer

CX, support, and operations leaders at mid-size to large digital-first enterprises seeking to automate high-volume customer support operations while maintaining concierge-level customer experiences.

Industries served

["Fintech (Bilt, Rippling, Chime, NG.CASH)","Consumer Technology (Duolingo, Notion, Eventbrite)","E-commerce & Retail (1-800-Flowers, Hunter Douglas, Faire)","Healthcare (Oura Health)","Travel & Hospitality (Avis Budget Group, Hertz, ClassPass)","Telecommunications","Marketplaces"]

Technology advantage

Decagon's architecture combines multiple competitive advantages: (1) Self-improving AI agent engine with continuous learning flywheel from all interactions; (2) Omnichannel-by-design platform with unified memory and brand consistency across voice/chat/email/SMS; (3) Enterprise-grade deterministic workflows with transparent observability and strict guardrails for sensitive operations; (4) Rapid evaluation and integration of new LLM models; (5) Proven performance metrics—80% deflection rates, 70% resolution rates, 95% cost reductions for customers; (6) Context-aware responses powered by integration with internal APIs, CRMs, and knowledge bases.

How they differentiate

Agent Operating Procedures (AOPs) - natural language instructions that compile into structured logic enabling non-technical teams to build complex AI agent workflows without engineering resources; self-improving AI agent engine with continuous learning flywheel; unified omnichannel platform with consistent memory across voice/chat/email/SMS channels; autonomous AI agents that take ownership of entire workflows with minimal human involvement, achieving 80% deflection rates and 70% resolution rates.

Main competitors

["Sierra AI","Cognigy","Moveworks"]

Key partnerships

["Microsoft for Startups (Azure partnership, go-to-market collaboration)","ElevenLabs (voice AI technology partnership for Voice Agents)","Together AI (production inference infrastructure for sub-second voice latency)","OpenAI (featured customer case study, model integration)","TaskUs (strategic partnership for agentic AI-powered CX services)","Leading VC partners: a16z, Accel, Bain Capital Ventures, Coatue Management, Index Ventures"]

Notable customers

["Bilt","ClassPass","Duolingo","Notion","Substack","Rippling","Chime","Oura Health","1-800-Flowers","Avis Budget Group","Hertz","Mercado Libre","Noom","Hunter Douglas","Block","Affirm","Eventbrite","Vanta"]

Major milestones

["Company founded in 2023 and emerged from stealth in June 2024","Series A ($30M) led by Accel in June 2024","Series B ($65M) led by Bain Capital Ventures in October 2024, bringing total funding to $100M","Series C ($131M) at $1.5B valuation co-led by Accel and a16z in June 2025","Series D ($250M) at $4.5B valuation led by Coatue and Index Ventures in January 2026","Completed first tender offer at $4.5B valuation in March 2026","CEO Jesse Zhang recognized on Forbes 30 Under 30 2026 list in AI category","ClassPass achieved 10x deflection increase and 95% support cost reduction","Bilt reduced support team from hundreds to 65 using Decagon platform"]

Growth metrics

8-figure ARR achieved in late 2024; 100+ enterprise customers; platform serves 10M+ end customers; 80% deflection rate and 70% resolution rate; 300+ employees; valuation tripled from $1.5B (June 2025) to $4.5B (January 2026) in just 6 months.

Market positioning

Premium enterprise AI customer support platform positioned as 'AI concierge for every customer' - targeting mid-size to large digital-first enterprises seeking to automate high-volume customer support while maintaining concierge-level experiences. Competes directly with Sierra AI at the high-end enterprise segment, distinguishing itself through more direct technical control versus Sierra's fully managed service approach.

Geographic focus

Primarily North America (San Francisco headquarters) with growing international presence including European enterprise clients such as Deutsche Telekom. Global customer base spanning fintech, consumer technology, e-commerce, healthcare, travel & hospitality sectors across US, Canada, Europe, and Latin America.

Patents and IP

No registered patents disclosed publicly as of latest update

About Jesse Zhang

Jesse Zhang is the Co-founder and CEO of Decagon. He was previously the founder and CEO of Lowkey, a social gaming platform backed by Andreessen Horowitz and Y Combinator, which was acquired by Niantic in 2021 within 18 months of founding. Following the acquisition, he served as a Software Engineer at Niantic (2021-2023). He holds a Bachelor's degree in Computer Science from Harvard University (graduated early, class of 2018/2019). Before founding his startups, he interned at prominent tech companies including Citadel and Google. He is a serial entrepreneur and angel investor in over 20 startups including Pika, Cursor, Visual Electric, Lovable, Moment, Motion, Succinct, Cognition, and Verse. Recognized on the 2026 Forbes 30 Under 30 list in the AI category.

Official website: https://decagon.ai