Skip to contentDEMOSynthetic demo dataCRM simulatedAI deterministic demo modeNo external messages are ever sent
P8Monitor
Low fit or intent; no action recommended.
46/ 100C
Scores 46/100; strong technical (12.6/15); driven by Funding round, Relevant job posting. Weak on intent, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | Fintech | demo_webscan | 87% |
| Employees | 230 | demo_firmographics | 67% |
| Headcount growth (12m) | 44% | — | — |
| Segment | Mid-Market | — | — |
| HQ | Seattle | crm_import | 70% |
Fintech is an adjacent industry (half credit).
Company size7.8 / 12230 employees is within the target range (100–10,000) but outside the sweet spot.Geography8 / 8Headquartered in a primary region (NA).Intent
- Relevant job posting1.4 / 6Posted: Applied Scientist, Model Evaluation, observed 54 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 24% of 6 pts.
Timing
- Funding round6 / 7Raised $28M Series B, observed 9 days ago. Confidence 92%, strength 0.90 (typical 0.90), 90-day half-life → 86% of 7 pts.
- Headcount growth3 / 3Headcount grew 44% in 12 months: rapid scaling.
Technical
- AI/ML team3.6 / 6AI/ML org of ~13 engineers: meaningful but still growing.
- LLM stack6 / 6Runs 3 LLM-stack technologies: LlamaIndex, MLflow, vLLM.
- Platform maturity3 / 3Production platform maturity: AWS SageMaker, Vertex AI.
Engagement
- Sales engagement0 / 5No two-way sales engagement in the last 90 days.
| Funding stage | Series A | demo_webscan | 67% |
| AI/ML team | 13 | demo_hiring | 87% |
| Tech stack | AWS SageMakerLangSmithLlamaIndexMLflowRedisSalesforceSegmentVertex AIvLLM | 88% |
Last enriched Sep 1, 2026 · record source demo_seed:crm_backfill
Funding RoundRaised $28M Series B9d ago
Topaz Health raised a $28M Series B led by Lattice Partners (fictional investor, DEMO feed).
demo_signal_feed · confidence 92% · strength 0.90 · demo
Job PostingPosted: Applied Scientist, Model EvaluationAug 25, 2026
Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo