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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.