Skip to contentDEMOSynthetic demo dataCRM simulatedAI deterministic demo modeNo external messages are ever sent
Copper IO · GTMOSP8Monitor
Low fit or intent; no action recommended.
40/ 100D
Scores 40/100; driven by Technology adoption, Relevant job posting. Weak on intent, timing, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | Fintech | demo_webscan | 72% |
| Employees | 116 | demo_webscan | 85% |
| Headcount growth (12m) | 33% | — | — |
| Segment | Mid-Market | — | — |
| HQ | San Francisco | crm_import | 88% |
Fintech is an adjacent industry (half credit).
Company size7.8 / 12116 employees is within the target range (100–10,000) but outside the sweet spot.Geography8 / 8Headquartered in a primary region (NA).Intent
- Relevant job posting1.5 / 6Posted: Senior Engineer, Agent Infrastructure, observed 53 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 25% of 6 pts.
- Technology adoption3.6 / 5Adopted vLLM, observed 6 days ago. Confidence 75%, strength 0.60 (typical 0.60), 90-day half-life → 71% of 5 pts.
Timing
- Headcount growth3 / 3Headcount grew 33% in 12 months: rapid scaling.
Technical
- AI/ML team1.5 / 6Small AI/ML team (~7); may not feel reliability pain yet.
- LLM stack4.2 / 6Runs 2 LLM-stack technologies: pgvector, vLLM.
- Platform maturity3 / 3Production platform maturity: Datadog, Kubernetes, Vertex AI.
Engagement
- Sales engagement0 / 5No two-way sales engagement in the last 90 days.
| Funding stage | Series A | crm_import | 69% |
| AI/ML team | 7 | demo_hiring | 78% |
| Tech stack | DatadogKubernetesLangSmithReactStripeVertex AIZendeskpgvectorvLLM | 84% |
Last enriched Jul 19, 2026 · record source demo_seed:crm_backfill
Tech AdoptionAdopted vLLM7d ago
Technographic scan detected vLLM in Copper IO's stack (DEMO).
demo_signal_feed · confidence 75% · strength 0.60 · demo
Job PostingPosted: Senior Engineer, Agent InfrastructureAug 26, 2026
Job posting 'Senior Engineer, Agent Infrastructure' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo