Company profile
Assembly
Live profile
With AssemblyAI's industry-leading Speech AI models, transcribe speech to text and extract insights from your voice data.
1001-5000
Series C ($115M)
Next.js, Vercel
AI Classification
AssemblyAI is a Voice AI platform providing speech-to-text APIs, real-time transcription, and speech understanding models to developers and enterprises. Their products power AI notetakers, call analytics, medical transcription, and voice agents across startups and Fortune 500 companies including Zoom.
Deep Intelligence
Account Scoring
- Series C — mature / stable
- Thin digital footprint
Tech Stack
Framework
Hosting
Similar Companies
Social Links
Competitors
Assembly is one of 2,673 B2B companies in the Kustiq directory.
Assembly sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: Fireworks AI, Snyk, Cohere, and Amplitude.
Fireworks AI sits in the 51-200 headcount band while Assembly is at 1001-5000, and both are at Series C. See Assembly vs Fireworks AI side by side.
Both sit in the 1001-5000 headcount band, and Snyk is at Growth versus Series C for Assembly. See Assembly vs Snyk side by side.
Both sit in the 1001-5000 headcount band, and Cohere is at Series A ($500M) versus Series C for Assembly. See Assembly vs Cohere side by side.
How Assembly compares with other AI/ML Platform companies
Assembly 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.
Assembly sits in the 1001-5000 headcount band. 91% of the 93 segment peers with a known team size are smaller. 4% 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%). Assembly runs Next.js and Vercel.
Among the 58 segment companies with disclosed funding, Growth is the most common stage (36%). Assembly is at Series C.
The median founding year across 32 peers with a known founding date is 2019.
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 2 rendered pages of assembly.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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