R&D that ends in a build-or-don't decision, not a report
We run focused research sprints with a defined question and a decision-ready deliverable: working proof-of-concept, benchmark data, and a straight build/no-build recommendation. Including whether local AI models can replace API models for your case. From $5k.
Scope a sprint →See our AI R&DWhat you get
Research you can take to your board
Plain list. A defined question in, a decision out.
Proof
We benchmark AI the way we deploy it
Our most common R&D question — can local models replace API models — is one we've answered in production.
Benchmarked on your data
We test local LLMs against your actual documents and hardware — the process behind Aru Pharma.
Numbers, not opinions
Benchmark data and a clear recommendation, ready for a board decision.
Real, not theoretical
A demonstration you can see run, not a document describing what might work.
Know the number before you commit
Research sprints run $5k–$20k fixed scope (2–6 weeks) with a defined question and a decision-ready deliverable: working proof-of-concept, benchmark data, and a build/no-build recommendation you can take to your board.
How we work
One question, one clear answer
R&D fails when it's open-ended. We scope a specific question and deliver a specific answer.
Define the question
The exact decision the research needs to inform.
Build to test
A real PoC and benchmarks against your actual constraints.
Measure honestly
Real numbers, including the ones that argue against building.
Recommend clearly
A straight build/no-build call with the reasoning.
Have a question you need answered before you commit?
Thirty minutes. Tell us the decision you're facing. We'll tell you honestly what a research sprint would test, what it costs, and what a decision-ready answer looks like.
Scope a sprint