Company profile
H2o
Live profile
Only H2O.ai provides an end-to-end GenAI platform where you own every part of the stack. Built for airgapped, on-premises or cloud VPC deployments.
501-1000
Fastly, HubSpot +1
3.2/5 · 1 review
Software Company
AI Classification
H2O.ai is an enterprise AI platform vendor that converges Generative and Predictive AI into sovereign, air-gapped deployments for regulated industries including banking, telecom, and government. Trusted by 20,000+ organizations and more than half the Fortune 500, the company has raised $256M from investors including NVIDIA, Goldman Sachs, and Capital One.
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Tech Stack
CDN
CMS
Marketing
Similar Companies
H2o is one of 2,673 B2B companies in the Kustiq directory.
H2o sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: BigID, Bright Data, Exel Composites, and Fireworks AI.
Both sit in the 501-1000 headcount band. See H2o vs BigID side by side.
Both sit in the 501-1000 headcount band. See H2o vs Bright Data side by side.
Both sit in the 501-1000 headcount band. See H2o vs Exel Composites side by side.
How H2o compares with other AI/ML Platform companies
H2o 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.
H2o sits in the 501-1000 headcount band. 86% of the 93 segment peers with a known team size are smaller. 5% 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%). H2o lists none of them.
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.
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 h2o.ai, search coverage across the live web, and a review parse of 1 ratings on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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