Decagon AI vs Quotient AI
Decagon AI vs Quotient AI, compared side by side on 21 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Decagon AI is on 68/100 and Quotient AI on 56/100.
Where each one leads
Decagon AI
- our overall score: 68/100 against 56/100
- agent readiness: 54/100 against 39/100
- domain rating: 72/100 against 28/100
- headcount: 502 against 7
- funding raised: $250M against $5.5M
Quotient AI
Leads on none of the measures we hold for both companies.
At a glance
| Measure | Decagon AI | Quotient AI |
|---|---|---|
| What it is | AI concierge platform for customer interactions. | Platform for continuous evaluation, monitoring, and reinforcement learning for enterprise AI agents. |
| Category | Artificial Intelligence, Customer Service, Agentic AI, Support | Artificial Intelligence, Machine Learning, Data Science, AI |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Software |
| Founded | 2023 | 2023 |
| Headquarters | San Francisco, United States | Boston, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Decagon AI | Quotient AI |
|---|---|---|
| Employees | 502 | 7 |
| Total funding | $250M | $5.5M |
| Latest round | late-stage funding | Seed |
| Valuation | $4.5B | $1.1B |
| LinkedIn followers | 67,999 | Not published |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Decagon AI | Quotient AI |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 68/100 | 56/100 |
| Traction | 60/100 | 43/100 |
| Team | 60/100 | 60/100 |
| Community | 20/100 | 15/100 |
| Search visibility | 36/100 | 14/100 |
| Quality | 78/100 | 68/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (54/100) | F (39/100) |
| Domain ratingLink authority, 0-100 | 72/100 | 28/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Decagon AI | Quotient AI |
|---|---|---|
| Hosting | Vercel | Not detected |
| CDN | Cloudflare | Cloudflare |
| CMS | Webflow | Not detected |
| Frameworks | Not detected | Tailwind CSS |
| Analytics | Google Tag Manager, Segment, Facebook Pixel | Not detected |
| Support stack | HubSpot | Not detected |
| Open source | No | Yes |
Decagon AI vs Quotient AI: common questions
Which is better, Decagon AI or Quotient AI?
On our 0-100 score Decagon AI rates higher (68/100 against 56/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 21 data points above: read the rows that match what you are buying for.
How do Decagon AI and Quotient AI compare on the numbers?
Decagon AI leads on our overall score (68/100 against 56/100), agent readiness (54/100 against 39/100), domain rating (72/100 against 28/100), headcount (502 against 7), funding raised ($250M against $5.5M).
Read the full Decagon AI review and pricing or the Quotient AI review and pricing. You can also browse other Decagon AI alternatives we track.