Services
Every engagement is scoped to your reality — your data maturity, your regulatory context, and the outcomes that actually move the needle. See real examples on Work.
Cut through the hype. We assess where AI creates real, defensible value across your R&D and operations, then build a sequenced, budgeted roadmap your teams can actually deliver.
Turn a promising idea into a working prototype in weeks, not quarters. We build evaluable proofs-of-concept on your data so decisions are made on evidence, not slideware.
In practice
We take models out of notebooks and into validated, monitored production — with the guardrails, evaluation, and documentation life science demands.
In practice
Retrieval-augmented systems that read the literature, your internal documents, and lab data — surfacing answers, protocols, and insights with citations your scientists can trust.
In practice
AI designed to live inside your quality framework — audit trails, validation, data integrity, and 21 CFR Part 11 / Annex 11 awareness baked in from day one.
In practice
Hands-on enablement so your people can run with it. Workshops, best practices, and fractional AI leadership to upskill teams and de-risk hiring.
A pragmatic path that de-risks every step before you scale.
A short, candid call to understand your goals, data, and constraints — and whether AI is even the right tool yet.
A focused strategy sprint or proof-of-concept on representative data, with measured accuracy and ROI baselines.
Production-grade implementation with evaluation, monitoring, documentation, and the guardrails your domain demands.
We hand over knowledge, playbooks, and capability so your team can own and extend the system with confidence.
Book a free 30-minute discovery call. No slideware — just a candid conversation about your data, your goals, and what’s realistic.