Company profile
Domino Data Lab
Live profile
Experience the power of Enterprise AI with Domino Data Lab. Accelerate research, deploy models, and foster collaboration among code-first data science teams.
2013
201-500
Google Analytics, Next.js +3
Public pricing page
AI Classification
Domino Data Lab is an enterprise AI platform enabling organizations to build, scale, and govern AI-powered applications across the full MLOps lifecycle. It serves over 20% of the Fortune 100, with deep penetration in life sciences, financial services, and public sector.
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Tech Stack
Analytics
CMS
Framework
Hosting
Testing
Similar Companies
Domino Data Lab is one of 2,673 B2B companies in the Kustiq directory.
Domino Data Lab sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: Supabase, Apify, Groq, and DealHub AI.
Both sit in the 201-500 headcount band. See Domino Data Lab vs Supabase side by side.
Both sit in the 201-500 headcount band, and Apify was founded in 2015, 2 years after Domino Data Lab. See Domino Data Lab vs Apify side by side.
Both sit in the 201-500 headcount band, and Groq was founded in 2016, 3 years after Domino Data Lab. See Domino Data Lab vs Groq side by side.
How Domino Data Lab compares with other AI/ML Platform companies
Domino Data Lab 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.
Domino Data Lab 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%). Domino Data Lab runs Next.js, Vercel, and Google Analytics.
Among the 58 segment companies with disclosed funding, Growth is the most common stage (36%).
The median founding year across 32 peers with a known founding date is 2019. Domino Data Lab was founded in 2013.
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 domino.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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