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 fit (27.5/35), technical (10.8/15); driven by Technology adoption, Relevant job posting. Weak on intent, timing, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | Martech | demo_webscan | 84% |
| Employees | 930 | demo_webscan | 87% |
| Headcount growth (12m) | 18% | — | — |
| Segment | Enterprise | — | — |
| HQ | Vancouver | demo_firmographics | 64% |
/ 15
Martech is an adjacent industry (half credit).
Company size12 / 12930 employees is inside the sweet spot (250–5,000).Geography8 / 8Headquartered in a primary region (NA).Intent
- Relevant job posting2.6 / 6Posted: AI Reliability Engineer, observed 28 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 44% of 6 pts.
- Technology adoption2.7 / 5Adopted LlamaIndex, observed 41 days ago. Confidence 75%, strength 0.60 (typical 0.60), 90-day half-life → 55% of 5 pts.
Timing
- Headcount growth1.8 / 3Headcount grew 18% in 12 months.
Technical
- AI/ML team3.6 / 6AI/ML org of ~41 engineers: meaningful but still growing.
- LLM stack4.2 / 6Runs 2 LLM-stack technologies: LlamaIndex, MLflow.
- Platform maturity3 / 3Production platform maturity: Databricks, Kubernetes, Snowflake, Terraform.
Engagement
- Sales engagement0 / 5No two-way sales engagement in the last 90 days.
| Funding stage | Series C | crm_import | 82% |
| AI/ML team | 41 | demo_hiring | 75% |
| Tech stack | DatabricksKubernetesLlamaIndexMLflowPostgreSQLReactSalesforceSnowflakeTerraform | 81% |
Last enriched Jun 21, 2026 · record source demo_seed:crm_backfill
Job PostingPosted: AI Reliability Engineer29d ago
Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo
Tech AdoptionAdopted LlamaIndex42d ago
Technographic scan detected LlamaIndex in Ember Pay's stack (DEMO).
demo_signal_feed · confidence 75% · strength 0.60 · demo