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Accounts / Nova Analytics
P8Monitor
Low fit or intent; no action recommended.
49/ 100C
Scores 49/100; strong fit (27.5/35), technical (15/15); driven by Relevant job posting, Technology adoption. Weak on intent, timing, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | Healthtech | demo_webscan | 94% |
| Employees | 1,651 | demo_firmographics | 88% |
| Headcount growth (12m) | 16% | — | — |
| Segment | Enterprise | — | — |
| HQ | Denver | demo_firmographics | 92% |
/ 15
Healthtech is an adjacent industry (half credit).
Company size12 / 121,651 employees is inside the sweet spot (250–5,000).Geography8 / 8Headquartered in a primary region (NA).Intent
- Relevant job posting2.7 / 6Posted: ML Platform Engineer (LLM Ops), observed 26 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 46% of 6 pts.
- Technology adoption1.9 / 5Adopted Pinecone, observed 89 days ago. Confidence 75%, strength 0.60 (typical 0.60), 90-day half-life → 38% of 5 pts.
Timing
- Headcount growth1.8 / 3Headcount grew 16% in 12 months.
Technical
- AI/ML team6 / 6AI/ML org of ~118 engineers (≥50): mature buyer.
- LLM stack6 / 6Runs 3 LLM-stack technologies: Pinecone, Weaviate, pgvector.
- Platform maturity3 / 3Production platform maturity: AWS SageMaker, Databricks, Kafka, Snowflake.
Engagement
- Sales engagement0 / 5No two-way sales engagement in the last 90 days.
| Funding stage | Series C | demo_webscan | 90% |
| AI/ML team | 118 | demo_hiring | 75% |
| Tech stack | AWS SageMakerDatabricksDatadog LLM ObservabilityHubSpotKafkaPineconeSalesforceSnowflakeStripeWeaviatepgvector | 75% |
Last enriched Jul 7, 2026 · record source demo_seed:crm_backfill
Job PostingPosted: ML Platform Engineer (LLM Ops)27d ago
Job posting 'ML Platform Engineer (LLM Ops)' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo
Tech AdoptionAdopted PineconeJul 21, 2026
Technographic scan detected Pinecone in Nova Analytics's stack (DEMO).
demo_signal_feed · confidence 75% · strength 0.60 · demo