Topaz Labs is a b2b saas company based in Chicago with roughly 3,291 employees.
Everything runs through the same audited services the workflows use
Missing employee count or industry makes the fit score unreliable.
ICP v1 · computed 16h ago · trigger: seed
Every enriched field records its provider, confidence and timestamp
| Field | Value | Source | Confidence |
|---|---|---|---|
| Industry | Missing | — | — |
| Employees | 3,291 | crm_import | 90% |
| Headcount growth (12m) | 19% | — | — |
| Segment | Strategic | — | — |
| HQ | Chicago | demo_webscan | 69% |
| Region | NA |
Subtracted after category caps, so a penalty cannot be absorbed by a category that is already full.
Scores 27/100; strong technical (11.4/15); driven by Relevant job posting, Technology adoption. Weak on intent, timing, engagement.
| — |
| — |
| Funding stage | Public | crm_import | 79% |
| Total funding | Missing | — | — |
| AI/ML team | 213 | demo_hiring | 89% |
| Open AI/ML roles | 11 | — | — |
| Tech stack | AWS SageMakerHugging FaceKafkaKubernetes | 68% | |
Why now
Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO).
Engineering blog and a conference talk describe a competing evaluation platform in production (DEMO).
Technographic scan detected Weaviate in Topaz Labs's stack (DEMO).
No opportunities.