Scispot, a Canadian company building an AI-native operating layer for modern laboratories, announced an $8 million Series A funding round led by Avenue Growth Partners. The company’s platform is already used by more than 100 laboratories across biotech, pharmaceutical, diagnostics, genomics, CRO/CDMO, bioproduction, biobanking, and testing environments.
Based in Kitchener-Waterloo, Ontario, Scispot helps life sciences organizations automate digital laboratory workflows, manage millions of samples, and maintain traceable operations across complex research and testing environments. The company supports more than 250 instrument types, facilitates over 1,000 experiments each month, and manages millions of samples across high-throughput laboratories.
Modern laboratories often rely on a patchwork of disconnected instruments, spreadsheets, electronic lab notebooks, laboratory information management systems, scientific data systems, reports, and dashboards. These fragmented workflows can create inefficiencies as teams spend significant time moving data, reconciling results, generating reports, and maintaining traceability. Scispot aims to address these challenges by providing a unified operating layer that connects workflows, samples, instruments, approvals, and data.
The platform incorporates permissions, audit trails, sample lineage tracking, approvals, and human review capabilities directly into laboratory workflows. By capturing context throughout the execution of laboratory work, Scispot enables teams to automate routine digital tasks while maintaining structured and traceable data that can be utilized by both researchers and AI systems.
As artificial intelligence becomes increasingly integrated into life sciences research, Scispot positions itself as a model-agnostic context layer that provides the structured operational data needed for AI applications. The company believes that access to real-world laboratory context, including sample lineage, instrument data, protocol states, approvals, and data provenance, is critical for effective AI deployment in scientific environments.
The company’s long-term vision centers on creating self-driving laboratories, where routine coordination, data capture, analysis, and reporting functions operate automatically while scientists maintain responsibility for judgment, validation, review, and final approvals.
Scispot plans to use the new funding to expand its product development, engineering, artificial intelligence, implementation, and customer success teams. The company also intends to add high-skilled roles in Canada while continuing to support life sciences customers throughout North America and international markets.
KEY QUOTES:
“Future labs will not run on people stitching together instruments, spreadsheets, reports, and approval steps. They will run on an operating layer that connects every sample, instrument run, workflow, result, approval, and decision as the work happens. Scispot has built that layer, so scientists stay in control while routine digital work runs in the background.
We are proud to build Scispot in Canada, with our roots in Kitchener-Waterloo. This is Canadian-developed life sciences software for labs around the world. This round helps us add high-skill jobs across Canada while supporting teams working on medicines, diagnostics, genomics, biomanufacturing, and scientific testing.”
Guru Singh, Founder and CEO, Scispot
“The life sciences AI stack needs more than compute and models. It needs an execution layer that turns physical lab work into structured, traceable context. Scispot gives labs that layer, so AI agents can support real lab work with traceability and control.”
Brian Goldsmith, Founding Partner, Avenue Growth Partners
