Services
R&D with evidence and an exit at each stage.
Applied research programs that produce artifacts you can inspect — models, evals, kernels, and written limitations — not open-ended science theater.
Evidence note: R&D credibility is anchored in public Innomium artifacts. Formal peer-reviewed publications are listed only when available.
Problems we address
Feasibility uncertainty
Leadership needs a technical yes/no with measured evidence.
Custom model needs
Off-the-shelf models miss size, latency, or domain constraints.
Capabilities
Model experimentation
Training, distillation, and architecture exploration with logged protocols.
Public research practice
We already publish edge vision models and Continuum1-9B — the same discipline applies to client R&D.
Arena-style evaluation
Challenge-style benchmarks when competitive evaluation helps.
How engagements typically run
Hypothesis & constraints
What would change a go/no-go decision.
Experiment design
Data, metrics, compute budget, timeline.
Execute & report
Results, limitations, and recommendation.
Productize or stop
Move to engineering — or stop with clear evidence.
Related proof & next steps
Related services
Questions
We focus on applied, production-relevant R&D. Peer-reviewed publication is optional and only claimed when it exists.
Talk with us about ai research & development.
Share constraints and goals — we will respond with a technical discovery path.