Scispot offers an AI-native operating layer that connects instruments, samples, workflows, approvals, and data to make lab work traceable and automatable. The platform captures context, sample lineage, audit trails, approvals, and instrument runs to enable structured, traceable lab data and human review where required. Scispot serves 100+ labs across sectors including biotech, pharma, diagnostics, genomics, CRO/CDMO, bioproduction, biobanking, and testing, supporting 250+ instrument types and 1,000+ experiments per month and managing millions of samples. The company is headquartered in Kitchener-Waterloo, Ontario and positions itself as a model-agnostic context layer that can enable AI agents to work with real lab context. Scispot’s long-term vision is a self-driving lab where routine coordination, data capture, analysis, and reporting run automatically while scientists retain control for review and sign-off. The recent $8M Series A is intended to fund product and engineering development, AI work, implementation, and customer success expansion, with hiring focused on high-skill roles in Canada.

Total raised

$8M

Funding rounds

1

Latest round

Series A

Latest activity

Jun 2026