Ridge Pay is a martech company based in Austin with roughly 73 employees.
Everything runs through the same audited services the workflows use
Existing customer: expansion motion, not new-logo outreach.
ICP v1 · computed 14h ago · trigger: seed
Scores 45/100; strong technical (10.5/15); driven by AI product launch, Technology adoption, Relevant job posting. Weak on timing, engagement.
Every enriched field records its provider, confidence and timestamp
| Field | Value | Source | Confidence |
|---|---|---|---|
| Industry | Martech | crm_import | 79% |
| Employees | 73 | demo_webscan | 91% |
| Headcount growth (12m) | 17% | — | — |
| Segment | SMB | — | — |
| HQ | Austin | demo_webscan | 84% |
| Region | NA | — | — |
| Funding stage | Series A | crm_import | 71% |
| Total funding | $7M | — | — |
| AI/ML team | 4 | demo_hiring | 71% |
| Open AI/ML roles | 0 | — | — |
| Tech stack | AWS SageMakerDatabricksGitHub ActionsLangSmithOpenAIPostgreSQLRayRedisWeaviatevLLM | 64% | |
Why now
Ridge Pay launched Ridge Answers, an LLM-powered feature for customers (DEMO news feed).
Technographic scan detected OpenAI in Ridge Pay's stack (DEMO).
Job posting 'ML Platform Engineer (LLM Ops)' mentions evaluation and reliability of LLM systems (DEMO).
Ben Petrov joined Ridge Pay as Head of Machine Learning (DEMO people-movement feed).