en.Wedoany.com Reported - Canadian life sciences software company Scispot has announced the completion of an $8 million Series A funding round led by Avenue Growth Partners. The company provides an AI-native operating layer for modern laboratories and currently serves over 100 labs across biotechnology, pharmaceuticals, diagnostics, genomics, CRO/CDMO, bioproduction, biobanking, and testing workflows.

Labs today face pressure to accelerate R&D, yet much of the work remains scattered across disconnected instruments, spreadsheets, electronic lab notebooks, laboratory information management systems, scientific data systems, reports, and manual handoffs. This coordination gap forces teams to spend significant time moving data, checking context, reconciling results, building reports, and ensuring work traceability, slowing down experiments and decision-making.

Scispot provides a unified operating layer for these workflows, with built-in permissions, audit trails, sample lineage, approvals, and human review. The platform captures context as work happens, tracks every step, automates routine digital tasks, and transforms lab activities into structured, traceable data for teams and AI agents.

As AI deepens its presence in life sciences, the importance of this operating layer becomes even more pronounced. For model builders, hyperscalers, and AI infrastructure providers, the key barrier is not compute or model access, but access to real lab context with built-in controls: sample lineage, instrument runs, protocol status, approvals, data provenance, anomalies, and human review. Scispot provides labs with a model-agnostic context layer without relinquishing control over data or workflows.

Guru Singh, Founder and CEO of Scispot, stated that the lab of the future will not run by manually piecing together instruments, spreadsheets, reports, and approval steps, but will operate in real time on an operating layer that connects every sample, instrument run, workflow, result, approval, and decision. Scispot has built this layer, keeping scientists in control while routine digital work runs in the background.

For regulated and sample-intensive labs, speed cannot come at the cost of traceability or control. Scispot helps permissions, audit trails, sample lineage, instrument context, and human review work together, enabling labs to automate more digital work while keeping scientists and lab operators in control.

Brian Goldsmith, Founding Partner at Avenue Growth Partners, noted that the life sciences AI stack requires more than just compute and models; it needs an execution layer that transforms physical lab work into structured, traceable context. Scispot provides this layer for labs, allowing AI agents to support real lab work under traceability and control.

Scispot's long-term vision is to achieve autonomous labs—labs that automatically run routine coordination, data capture, analysis, and reporting on an operating layer built for traceability, human review, and control. Scientists and lab operators retain control over judgment, review, validation, and sign-off.

Scispot is headquartered in Kitchener-Waterloo, Ontario. The company will use this funding to expand its product, engineering, AI, implementation, and customer success teams, focusing on adding high-skilled roles in Canada while supporting life sciences customers across North America and globally. The company supports over 250 instrument types, executes more than 1,000 experiments per month, and processes millions of samples in high-throughput labs.

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