Sequoia Data is a martech company based in Boston with roughly 2,005 employees.
Everything runs through the same audited services the workflows use
Low fit or intent; no action recommended.
ICP v1 · computed 19h ago · trigger: seed
Subtracted after category caps, so a penalty cannot be absorbed by a category that is already full.
Scores 33/100; strong fit (27.5/35), technical (12.6/15); driven by Executive hire. Weak on intent, engagement.
Every enriched field records its provider, confidence and timestamp
| Field | Value | Source | Confidence |
|---|---|---|---|
| Industry | Martech | demo_webscan | 81% |
| Employees | 2,005 | demo_webscan | 94% |
| Headcount growth (12m) | 28% | — | — |
| Segment | Strategic | — | — |
| HQ | Boston | crm_import | 66% |
No qualifying intent signals.
| Region | NA | — | — |
| Funding stage | Public | demo_webscan | 66% |
| Total funding | Missing | — | — |
| AI/ML team | 41 | demo_hiring | 84% |
| Open AI/ML roles | 3 | — | — |
| Tech stack | AnthropicDatadogHugging FaceKubernetesOpenAIReactRedisSegmentSnowflakeVertex AI | 76% | |
Why now
Olga Mehta joined Sequoia Data as Head of Machine Learning (DEMO people-movement feed).
Public reporting of a workforce reduction affecting engineering (DEMO).
Engineering blog and a conference talk describe a competing evaluation platform in production (DEMO).
No opportunities.