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AI & Research Software

Working systems, not slideware — built by a principal-led team that understands both the science and the stack.

AI opportunity assessment

A one-week map of where agents/automation will actually pay off — and where they won’t.

Agentic workflow builds

Fixed-scope internal tools and AI workflows, delivered in weeks.

Data pipelines & integrations

Ingest, clean, version, and standardize scattered data into something usable and trustworthy.

Computer vision & ML pipelines

From prototype to production, including preclinical imaging and behavior.

Label QA / annotation pipelines

LLM-assisted label auditing + specialized models so experts only review the hard cases.

Specialized ML systems

Task-specific models where a general tool won’t do.

Note: AI in research-adjacent and regulated settings is built with the same rigor as any other method — documented, reproducible, validated.