Research on the questions you cannot buy an answer to.
Joint programmes on problems your industry has not solved yet. We take the question, run it as real research against your data, report what we find either way, and publish what can be published.
Most branches close. We report those too.
Every trial opens candidates, measures them on your corpus, and closes the ones that do not hold. Run it and watch the field narrow.
Baseline measured on your corpus. Nothing decided yet.
Start from the unknown
Engagements open on something unproven. If the answer could be bought, you would not need a programme.
Measure on your corpus
Evaluation is built on your data, so the finding transfers to your production system and not to a benchmark.
Publish either result
Negative results are written up as carefully as positive ones. Whatever is not commercially sensitive goes out.
Four questions currently under measurement.
A programme usually starts inside one of these, then leaves it once the answer is written down. The figures on the right are where each one stands today.
How far quantization goes before the errors move.
Retrieval and evaluation over records that were never searchable.
What holds, and what does not, when a system is allowed to write.
Serving useful models where connectivity, not compute, is the constraint.
Scientists and engineers, on your problem.
Move the cursor across the four. The nearest one leans toward you.
Prioritise high-value use cases and take them to production fast.
A cross-functional team that carries an initiative from kickoff to scale.
Models tuned for your domain, down to the precision budget.
Deployed in your environment, with your keys and your policy.
The rest of the system
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