ABOUT · MILLIE RESEARCH
The lab behind
the benchmark.
hello millie is the public research and evaluation lab from Millie Research for companies that cannot afford to guess. At hellomillie.ai, we measure how models perform on the work a business actually runs, then turn that evidence into safer, higher-confidence deployment decisions.
WHAT WE BELIEVE
Industry lags the cutting edge. Not because it is irrelevant, because it is unproven.
Every important technology arrives before the confidence to deploy it. The capability is real and the relevance is obvious, yet adoption stalls, because staking a business on something unproven is its own kind of risk. Language models sit at exactly that point today. The outputs are extraordinary. Whether they hold on the specific work your business runs on is a separate question, and most companies are answering it with a hope instead of a measurement. We exist to replace the hope with a number.
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01
Proof, not promise
A model can dazzle in a demo and quietly miss on the task that actually matters to you. Public leaderboards average a thousand strangers' problems; they cannot tell you whether this model performs on your workflows, every time, under load. Until that is measured, every deployment is a leap of faith. We turn it into a measurement.
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02
Exposure to a moving foundation
Models change, improve, get deprecated, and get retired, often on a vendor's timeline rather than yours. The providers themselves are still learning whether serving these models to hundreds of millions of people is economically viable, and the strain already shows as an energy problem. Build directly on that shifting ground and every update is an unmanaged risk. We hold your results steady across it, so an upgrade can only help you.
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03
Data you should not have to surrender
Using the best models should not require handing your data to whoever trained them. We reject the premise that the price of the frontier is your proprietary information. We are building toward a world where a business can have cutting-edge, high-quality automation and keep full ownership of the data that makes it a business.
THE TEAM
Engineers, mathematicians, and operators who have shipped.
Millie Research brings together engineers, researchers, operators, and AI practitioners who care about whether a system works when the demo is over. Through hellomillie.ai, we design benchmarks, inspect model behavior, and help teams make deployment choices from evidence instead of vibes.
- AEngineersproduction systems, not prototypes
- BMathematiciansthe models under the models
- CComputer scientistsevaluation, retrieval, and rigor
- DBusiness executiveswhat the number has to mean
WHERE WE HAVE WORKED
Proven across industries that punish guesswork.
Our work spans sectors where a wrong answer carries real cost. The habits those environments demand, measurement, traceability, and no regressions, are the habits we build every benchmark around.
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01
Aerospace
Safety-critical systems where an error is not an inconvenience, it is the whole story.
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02
Automotive
Perception, control, and quality at production volume and production tolerances.
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03
E-commerce
Search, ranking, and recommendation judged by conversion, not by a demo.
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04
Retail
Forecasting, pricing, and operations where small errors compound across scale.
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05
Finance
Models that have to survive audit, compliance, and risk before they survive a market.
AND THE SECTORS THAT LOOK LIKE YOURS.