Sequoia Works is a data infrastructure company based in San Francisco with roughly 1,106 employees.
Everything runs through the same audited services the workflows use
Good fit but no strong buying signal yet.
ICP v1 · computed 18h ago · trigger: seed:post-enrichment
Scores 65/100; strong fit (35/35), technical (13.2/15); driven by AI product launch, Technology adoption, Integration activated. Weak on timing.
Every enriched field records its provider, confidence and timestamp
| Field | Value | Source | Confidence |
|---|---|---|---|
| Industry | Data Infrastructure | demo_firmographics | 80% |
| Employees | 1,106 | demo_webscan | 92% |
| Headcount growth (12m) | 26% | — | — |
| Segment | Enterprise | — | — |
| HQ | San Francisco | demo_firmographics | 67% |
| Region | NA | — | — |
| Funding stage | Series B | demo_firmographics | 68% |
| Total funding | $220M | — | — |
| AI/ML team | 78 | demo_hiring | 80% |
| Open AI/ML roles | 11 | — | — |
| Tech stack | DatadogHugging FaceKubernetesOktaRedisSalesforceSnowflakeTerraformvLLM | 93% | |
Why now
Connected the tracing SDK to a production model provider.
Tariq Park invited 2 teammate(s).
Technographic scan detected vLLM in Sequoia Works's stack (DEMO).
Tariq Park (Staff ML Engineer) created a free workspace (product event 'workspace_created').
Sequoia Works launched Sequoia Agent, an LLM-powered feature for customers (DEMO news feed).
No opportunities.