Company profile
Decagon
Live profile
Conversational AI for customer experiences.
2023
201-500
Series C ($250M)
Public pricing page
AI Classification
Decagon is an enterprise conversational AI platform that enables businesses to build, optimize, and scale AI agents for customer experience across voice, chat, email, and SMS. It serves Fortune 500-tier clients including Avis Budget Group, Chime, and Oura Health, and is backed by a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.
Deep Intelligence
Account Scoring
- Public pricing — predictable revenue
- Series C — mature / stable
Similar Companies
Social Links
Competitors
Decagon is one of 2,673 B2B companies in the Kustiq directory.
Decagon sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: Gorgias, Ada, Hightouch, and Connecteam.
Both sit in the 201-500 headcount band, and both are at Series C. See Decagon vs Gorgias side by side.
Both sit in the 201-500 headcount band, and Ada was founded in 2016, 7 years before Decagon. See Decagon vs Ada side by side.
Both sit in the 201-500 headcount band, and both are at Series C. See Decagon vs Hightouch side by side.
How Decagon compares with other AI/ML Platform companies
Decagon is one of 114 AI/ML Platform companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
Decagon sits in the 201-500 headcount band. 75% of the 93 segment peers with a known team size are smaller. 11% of those peers share the same band.
The most common tech detections across the 32 peers with a visible stack are Next.js (47%), Vercel (44%), and Google Analytics (38%). Decagon lists none of them.
Among the 58 segment companies with disclosed funding, Growth is the most common stage (36%). Decagon is at Series C.
The median founding year across 32 peers with a known founding date is 2019. Decagon was founded in 2023.
Toronto is the most common HQ city in this segment, home to 11% of the 18 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 5 rendered pages of decagon.ai and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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