Deepgram vs Hamming AI

Deepgram vs Hamming AI, compared side by side on 24 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 Hamming AI on 50/100.

Deepgram logo
DeepgramDeepgram 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.
Try Deepgram
Hamming AI logo
Hamming AIEnterprise-grade platform for at-scale automated testing and production monitoring of voice and chat agents.
Try Hamming AI

Where each one leads

Deepgram

  • our overall score: 66/100 against 50/100
  • domain rating: 79/100 against 50/100
  • headcount: 314 against 20
  • funding raised: $177M against $4.5M
  • LinkedIn following: 38,140 against 3,214

Hamming AI

  • agent readiness: 55/100 against 49/100

At a glance

MeasureDeepgramHamming AI
What it isDeepgram 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.Enterprise-grade platform for at-scale automated testing and production monitoring of voice and chat agents.
CategoryNeocloud, GPU, AI Foundation & Compute, AI Tools & AppsVoice AI, Voice Agent, Conversational AI, AI Testing
Sells toBusiness modelB2BB2B
OfferingPlatformPlatform
Founded20152021
HeadquartersSan Francisco, United StatesSan Francisco, United States
StatusActiveActive

Size, funding and growth

MeasureDeepgramHamming AI
Employees31420
Total funding$177M$4.5M
Latest roundSeries CSeed
Valuation$1.3BNot published
LinkedIn followers38,1403,214

StartupHub scores

Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.

MeasureDeepgramHamming AI
StartupHub scoreOur 0-100 rating66/10050/100
Traction60/10046/100
Team70/10030/100
Community8/100Not published
Search visibility64/10040/100
Quality68/10058/100
Agent readinessHow well an AI agent can read and act on the siteD (49/100)D (55/100)
Domain ratingLink authority, 0-10079/10050/100

Technology

Detected on each public site, so it reflects the marketing stack as well as the product.

MeasureDeepgramHamming AI
HostingNetlifyVercel
CDNNetlifyVercel
FrameworksNext.js, Tailwind CSSNext.js, Tailwind CSS
AnalyticsGoogle Tag ManagerFathom
Open sourceYesNo

Product and pricing

MeasureDeepgramHamming AI
Key featuresVoice Agent API, Speech to Text API, Text to Speech API, Audio Intelligence API, Custom Models, Self-Hosted DeploymentAt-scale Call Simulation, Production Monitoring & Analytics, Automated Regression Testing, Multi-language Support, Edge Case Simulation, Cross-functional Collaboration

Deepgram vs Hamming AI: common questions

Which is better, Deepgram or Hamming AI?

On our 0-100 score Deepgram rates higher (66/100 against 50/100). 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 24 data points above: read the rows that match what you are buying for.

How do Deepgram and Hamming AI compare on the numbers?

Deepgram leads on our overall score (66/100 against 50/100), domain rating (79/100 against 50/100), headcount (314 against 20), funding raised ($177M against $4.5M), LinkedIn following (38,140 against 3,214). Hamming AI leads on agent readiness (55/100 against 49/100).

Read the full Deepgram review and pricing or the Hamming AI review and pricing. You can also browse other Deepgram alternatives we track.