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Accounts / Redwood Systems
P8Monitor
Low fit or intent; no action recommended.
38/ 100D
Scores 38/100; strong technical (10.5/15); driven by Technology adoption, Relevant job posting. Weak on intent, timing, engagement.
Account fields with provenance| Field | Value | Source | Confidence |
|---|
| Industry | Fintech | demo_webscan | 64% |
| Employees | 162 | demo_firmographics | 85% |
| Headcount growth (12m) | 20% | — | — |
| Segment | Mid-Market | — | — |
| HQ | Chicago | crm_import | 81% |
/ 15
Fintech is an adjacent industry (half credit).
Company size7.8 / 12162 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 57 days ago. Confidence 85%, strength 0.65 (typical 0.65), 30-day half-life → 23% of 6 pts.
- Technology adoption1.5 / 5Adopted Pinecone, observed 119 days ago. Confidence 75%, strength 0.60 (typical 0.60), 90-day half-life → 30% of 5 pts.
Timing
- Headcount growth1.8 / 3Headcount grew 20% in 12 months.
Technical
- AI/ML team1.5 / 6Small AI/ML team (~7); may not feel reliability pain yet.
- LLM stack6 / 6Runs 5 LLM-stack technologies: LangChain, LlamaIndex, MLflow, Pinecone, vLLM.
- Platform maturity3 / 3Production platform maturity: AWS SageMaker, Kafka, Terraform.
Engagement
- Sales engagement0 / 5No two-way sales engagement in the last 90 days.
| Funding stage | Series A | demo_webscan | 81% |
| AI/ML team | 7 | demo_hiring | 92% |
| Tech stack | AWS SageMakerKafkaLangChainLlamaIndexMLflowPineconeSalesforceStripeTerraformZendeskvLLM | 86% |
Last enriched Aug 26, 2026 · record source demo_seed:list_import
Job PostingPosted: Applied Scientist, Model EvaluationAug 22, 2026
Job posting 'Applied Scientist, Model Evaluation' mentions evaluation and reliability of LLM systems (DEMO).
demo_signal_feed · confidence 85% · strength 0.65 · demo
Tech AdoptionAdopted PineconeJun 21, 2026
Technographic scan detected Pinecone in Redwood Systems's stack (DEMO).
demo_signal_feed · confidence 75% · strength 0.60 · demo