Rigor first
Honest baselines, evaluation designed before modelling starts, and results reported with their uncertainty intact.
AI/ML Research Consulting
Research-grade machine learning, applied to real problems.
Advisory, applied research, and evaluation for teams working on machine learning problems that resist off-the-shelf answers.
Approach
A research practice, not a delivery shop.
Research-driven
Method choices grounded in what the evidence supports, not in whichever technique is most visible this quarter.
Built to hand over
Documented methodology and reproducible results, so your team can run and extend the work without me.
Services
Where an outside specialist helps most.
Strategy & advisory
Independent input on where machine learning is worth applying, and where it is not.
Applied research collaboration
Framing the question, surveying prior work, and running experiments alongside your team.
Model development & evaluation
Models, plus the benchmarks and failure analysis that show whether they actually work.
Due diligence & audits
Assessment of an ML system or claim: what it does, how well it is evidenced, where the risk sits.
Custom ML solution design
End-to-end design for a specific problem — data, architecture, evaluation, and operating requirements.
About
Harmonia Labs was founded to bring rigorous, research-grade AI/ML expertise to organizations navigating applied machine learning challenges.
The practice sits between academic research and production engineering — where the literature rarely maps cleanly onto a specific dataset, constraint set, or deployment environment, and the gap has to be closed deliberately.
Contact
Tell me about the problem.
A short description of what you are working on and where it is stuck is enough to start.