AI adoption for research-driven and regulated organizations
Nau Labs provides senior AI adoption leadership on a fractional basis, backed by more than 20 years of moving machine learning, data, and bioinformatics systems into production.
Built for
Track record
Fortune 100
Production machine learning deployed at Fortune 100 companies and a U.S. federal agency, including the policies and thresholds that governed it
$200K–$10M
Enterprise contracts led as technical lead, from executive demonstration through proof of concept to production
49
Executive and technical workshops delivered on site in a single year, plus a five-day AI policy training program
HIPAA
Three software teams led for a regulated national patient and donor matching service, turning bioinformatics research into production
$4.5M
Enterprise storage acquisition run through a competitive RFP, plus a $4M grant secured after a network audit
Services
Retainer
Senior leadership a few days a month that turns interest in AI into tools people use and results leaders can measure.
Retainer or project
For companies selling machine learning, analytics, or research software: align product, sales, marketing, and customers around what the product does well.
Advisory sprint
Guardrails that let regulated teams say yes to AI without creating new exposure.
Pilot project
Focused LLM pilots with clear success measures, including private models that keep sensitive data in-house.
Project
Production sequencing workflows and research informatics that give scientists self-service visibility into progress, quality, and results.
Project
The data foundation AI depends on: clean, connected, governed, and ready to query.
Project or advisory
Compute, storage, and networking for labs and research groups, on premises, in the cloud, or both.
Approach
01
Inventory the AI tools, data, contracts, and risks already in play, and find where value is realistic.
02
Score use cases on value, feasibility, and risk. Agree on a short list and a roadmap leadership can fund.
03
Deliver pilots with production requirements built in: data quality, evaluation, security, and ownership.
04
Hand off to your team with monitoring, training, and value reporting so results keep showing up.
Engagements
A focused assessment, roadmap, or governance review with a clear written deliverable.
Embedded senior leadership that sets direction, runs governance, and keeps programs moving.
Hands-on build of a pipeline, platform, or AI system, delivered and handed off to your team.
About
Nau Labs, LLC is a technical consulting firm based in Minneapolis, Minnesota. Our work grew out of research computing, genomics, and data engineering for academic, clinical, and enterprise teams, and out of years spent taking machine learning security and identity analytics products from proof of concept to production.
That background shapes how we approach AI. We treat it as a production system with data, security, and people around it, and we stay with it until it delivers.
Contact
A short call is usually enough to tell whether a sprint, a retainer, or a project fits.