Garnet Metrics is a b2b saas company based in Toronto with roughly 148 employees.
Everything runs through the same audited services the workflows use
Low fit or intent; no action recommended.
ICP v1 · computed 22h ago · trigger: seed
Scores 45/100; strong fit (30.8/35); driven by Executive hire. Weak on intent, engagement.
Every enriched field records its provider, confidence and timestamp
| Field | Value | Source | Confidence |
|---|---|---|---|
| Industry | B2B SaaS | demo_firmographics | 71% |
| Employees | 148 | crm_import | 78% |
| Headcount growth (12m) | 40% | — | — |
| Segment | Mid-Market | — | — |
| HQ | Toronto | demo_webscan | 77% |
No qualifying intent signals.
| Region | NA | — | — |
| Funding stage | Series B | demo_firmographics | 76% |
| Total funding | $31M | — | — |
| AI/ML team | 7 | demo_hiring | 76% |
| Open AI/ML roles | 0 | — | — |
| Tech stack | KafkaLlamaIndexPostgreSQLStripeWeaviateZendesk | 72% | |
Why now
Mei Larsen joined Garnet Metrics as Head of Machine Learning (DEMO people-movement feed).
No opportunities.