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Oak Health · GTMOSP8Monitor
Low fit or intent; no action recommended.
50/ 100C
Scores 50/100; strong fit (27.5/35), technical (12.6/15); driven by Funding round, Relevant job posting, Website engagement. Weak on intent, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | Fintech | crm_import | 73% |
| Employees | 420 | demo_webscan | 65% |
| Headcount growth (12m) | 9% | — | — |
| Segment | Mid-Market | — | — |
| HQ | Chicago | demo_firmographics | 72% |
/ 15
Fintech is an adjacent industry (half credit).
Company size12 / 12420 employees is inside the sweet spot (250–5,000).Geography8 / 8Headquartered in a primary region (NA).Intent
- Relevant job posting1.9 / 6Posted: Applied Scientist, Model Evaluation, observed 41 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 33% of 6 pts.
Timing
- Funding round5.2 / 7Raised $49M Series B, observed 25 days ago. Confidence 90%, strength 0.90 (typical 0.90), 90-day half-life → 74% of 7 pts.
- Headcount growth0.8 / 3Modest headcount growth (9%).
Technical
- AI/ML team3.6 / 6AI/ML org of ~16 engineers: meaningful but still growing.
- LLM stack6 / 6Runs 3 LLM-stack technologies: LlamaIndex, MLflow, Pinecone.
- Platform maturity3 / 3Production platform maturity: Kafka, Kubernetes, Vertex AI.
Engagement
- Sales engagement2.5 / 51 repl(ies) in the last 90 days (not yet positive).
- Website engagement0.0 / 1Visited docs and blog, observed 54 days ago. Confidence 60%, strength 0.30 (typical 0.30), 14-day half-life → 4% of 1 pts.
| Funding stage | Series B | demo_firmographics | 65% |
| AI/ML team | 16 | demo_hiring | 63% |
| Tech stack | KafkaKubernetesLlamaIndexMLflowOktaPineconeRedisSegmentVertex AI | 87% |
Last enriched Jan 27, 2026 · record source demo_seed:clay_table
Funding RoundRaised $49M Series B26d ago
Oak Health raised a $49M Series B led by Northfield Capital (fictional investor, DEMO feed).
demo_signal_feed · confidence 90% · strength 0.90 · demo
Job PostingPosted: Applied Scientist, Model Evaluation42d ago
Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo
Website VisitVisited docs and blogAug 25, 2026
Reverse-IP matched visits to documentation and blog posts about agent evaluation (DEMO).
demo_web_analytics · confidence 60% · strength 0.30 · demo