Deepgram vs Vapi
Deepgram vs Vapi, compared side by side on 26 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: Deepgram is on 66/100 and Vapi on 65/100.
Where each one leads
Deepgram
- headcount: 314 against 182
- funding raised: $177M against $74.3M
- LinkedIn following: 38,140 against 23,249
Vapi
- agent readiness: 68/100 against 49/100
At a glance
| Measure | Deepgram | Vapi |
|---|---|---|
| What it is | Deepgram is an enterprise voice AI platform providing APIs for speech-to-text, text-to-speech, and voice agents, used by over 200,000 developers to build voice-first products. | Vapi provides a highly configurable API platform for developers and enterprises to build, deploy, and scale human-like voice AI agents. |
| Category | Neocloud, GPU, AI Foundation & Compute, AI Tools & Apps | Voice AI, Voice Agent, Conversational AI, API Platform |
| Sells toBusiness model | B2B | B2B |
| Offering | Platform | Platform |
| Founded | 2015 | 2022 |
| Headquarters | San Francisco, United States | San Francisco, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Deepgram | Vapi |
|---|---|---|
| Employees | 314 | 182 |
| Headcount growthLast 12 months | Not published | +308.7% |
| Total funding | $177M | $74.3M |
| Latest round | Series C | Funding Round |
| Valuation | $1.3B | $500M |
| LinkedIn followers | 38,140 | 23,249 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Deepgram | Vapi |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 66/100 | 65/100 |
| Traction | 60/100 | 59/100 |
| Team | 70/100 | 70/100 |
| Community | 8/100 | 8/100 |
| Search visibility | 64/100 | 58/100 |
| Quality | 68/100 | 68/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (49/100) | C (68/100) |
| Domain ratingLink authority, 0-100 | 79/100 | 77/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Deepgram | Vapi |
|---|---|---|
| Hosting | Netlify | Vercel |
| CDN | Netlify | Vercel |
| Frameworks | Next.js, Tailwind CSS | Next.js, Tailwind CSS |
| Analytics | Google Tag Manager | Google Tag Manager, PostHog, Linkedin Insight, Facebook Pixel +1 more |
| Support stack | Not detected | HubSpot |
| Open source | Yes | Yes |
Product and pricing
| Measure | Deepgram | Vapi |
|---|---|---|
| Key features | Voice Agent API, Speech to Text API, Text to Speech API, Audio Intelligence API, Custom Models, Self-Hosted Deployment | Multilingual Support, API-Native Design, Automated Testing, Bring Your Own Models, Tool Calling Capabilities, A/B Experimentation |
Deepgram vs Vapi: common questions
Which is better, Deepgram or Vapi?
On our 0-100 score Deepgram rates higher (66/100 against 65/100). 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 26 data points above: read the rows that match what you are buying for.
How do Deepgram and Vapi compare on the numbers?
Deepgram leads on headcount (314 against 182), funding raised ($177M against $74.3M), LinkedIn following (38,140 against 23,249). Vapi leads on agent readiness (68/100 against 49/100).
Read the full Deepgram review and pricing or the Vapi review and pricing. You can also browse other Deepgram alternatives we track.