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Accounts / Zenith Analytics
P8Monitor
Low fit or intent; no action recommended.
54/ 100C
Scores 54/100; strong fit (30.8/35), technical (12.6/15); driven by AI product launch, Relevant job posting. Weak on intent, timing, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | Developer Tools | demo_firmographics | 70% |
| Employees | 195 | crm_import | 74% |
| Headcount growth (12m) | 61% | — | — |
| Segment | Mid-Market | — | — |
| HQ | Austin | crm_import | 86% |
|
Developer Tools is a core ICP industry.
Company size7.8 / 12195 employees is within the target range (100–10,000) but outside the sweet spot.Geography8 / 8Headquartered in a primary region (NA).Intent
- AI product launch6.1 / 9Launched Zenith Autopilot, observed 18 days ago. Confidence 84%, strength 0.80 (typical 0.80), 60-day half-life → 67% of 9 pts.
- Relevant job posting1.7 / 6Posted: AI Reliability Engineer, observed 47 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 29% of 6 pts.
Timing
- Headcount growth3 / 3Headcount grew 61% in 12 months: rapid scaling.
Technical
- AI/ML team3.6 / 6AI/ML org of ~14 engineers: meaningful but still growing.
- LLM stack6 / 6Runs 5 LLM-stack technologies: Hugging Face, LlamaIndex, Ray, Weights & Biases, vLLM.
- Platform maturity3 / 3Production platform maturity: Kubernetes, Snowflake.
Engagement
- Sales engagement0 / 5No two-way sales engagement in the last 90 days.
| Funding stage | Series B | demo_webscan | 76% |
| AI/ML team | 14 | demo_hiring | 79% |
| Tech stack | ArizeHugging FaceKubernetesLlamaIndexOktaRaySnowflakeStripeWeights & BiasesZendeskvLLM | 88% |
Last enriched Aug 3, 2026 · record source demo_seed:crm_backfill
AI Product LaunchLaunched Zenith Autopilot19d ago
Zenith Analytics launched Zenith Autopilot, an LLM-powered feature for customers (DEMO news feed).
demo_signal_feed · confidence 84% · strength 0.80 · demo
Job PostingPosted: AI Reliability EngineerSep 1, 2026
Job posting 'AI Reliability Engineer' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo