Research partnerships
Our lab, alongside your team.
Bring an open question or a difficult technical decision. Work directly with our researchers to review the evidence, test promising approaches, and turn what you learn into a concrete next step.
The engagement, at a glance
You bring
Your research question
We build
Review. Experiment. Learn.
You leave with
Evidence for the next step
- Direct collaboration with researchers
- Architecture, data, and training reviews
- Experiments with a documented handoff
Find your starting point
When to bring us in.
Start with the challenge in front of you. We'll shape the work around it.
Pressure-test a technical direction
Review architecture, data, or training choices before a larger investment. Surface assumptions, compare alternatives, and identify the experiments that would change the decision.
Investigate a stubborn bottleneck
Work through unexplained model failures, weak evaluations, or an inefficient pipeline. Combine your team's operational context with focused analysis and controlled experiments.
Develop a method together
Explore a new approach with a defined research question and shared evaluation plan. Build evidence and reproducible artifacts, then decide together what to implement or publish.
What you get
Tangible work.
Lasting capability.
Evidence for the next step
Research should make the next decision clearer. Leave with evidence, useful artifacts, and an honest account of what remains open.
A focused research brief
A shared question, current evidence, hypotheses, and decision criteria. Identify the uncertainties that matter, the available resources, and what the work is intended to resolve.
Technical reviews with clear actions
Documented findings across the agreed architecture, dataset, training, or serving work. Separate observations from hypotheses and prioritize changes your team can investigate.
Experiments your team can revisit
Agreed code, configurations, evaluation outputs, and experiment notes. Preserve useful negative results and limitations so future work builds on the evidence, not just a conclusion.
A decision and transfer package
A results review, implementation recommendations, and a clear account of open questions. Scope any joint publication, shared benchmark, or release with agreed attribution and data handling.
How we work
A clear path.
At every step.
From the first brief to the final handoff, here's how the work takes shape.
Frame the question
Define the problem, review existing evidence, and choose the decisions the research should inform. Agree on access, responsibilities, and expected artifacts.
Set the working rhythm
Establish technical reviews, working sessions, and checkpoints with your team. Select the first experiments and make resource constraints visible.
Test the hypotheses
Run the agreed experiments, inspect results, and revise the approach as evidence develops. Keep assumptions, failures, and limitations in the research record.
Decide what follows
Review what the evidence supports, transfer the artifacts, and choose the next implementation or research step. Publish jointly only under the agreed terms.
Before we begin
The details
that matter.
More on scope, collaboration, and what comes next.
Discuss your requirementsWhen is a research partnership the right fit?
A partnership fits a problem whose approach or answer is still uncertain and benefits from collaborative investigation. If the required output is already clear, a focused training, inference, or protocol engagement may be a better starting point. We use the initial brief to choose the right shape of work.
How will the researchers work with our team?
We agree on working sessions, review checkpoints, access, and responsibilities during scoping. Your team contributes domain context and existing evidence; we work together on the technical questions and experiments. The cadence and staffing are defined for the engagement.
What if an experiment does not improve the result?
Research cannot guarantee a successful hypothesis. We document the setup, outcomes, and limitations so an unpromising direction still informs the next decision. Checkpoints give both teams a chance to redirect the work or stop an experiment when the evidence warrants it.
How do publication, IP, and confidential data work?
We agree on artifact rights, permitted data use, confidentiality, attribution, and any publication review process before work begins. Joint papers or open releases are possible outcomes, not automatic requirements. Sensitive data and internal findings are handled according to the scope agreed with your team.
Does the partnership include implementation?
The engagement can include prototypes and experiments with an agreed handoff. Production engineering, ongoing operations, and additional training runs need explicit scope. The results review identifies what is ready to use and what still needs implementation or validation.
Get started
Your next step.
A clear plan.
Bring us the goal and the constraints. We'll work with you to define the scope, deliverables, and a practical place to begin.
For the first conversation
A useful starting brief.
- The question or technical decision, and why it matters to your team.
- Existing experiments, evaluation results, and relevant architecture or data context.
- Team availability, resource constraints, and confidentiality or publication requirements.
Keep building