Independent AI research lab — London
The lab that reads the models before the world runs them.
Kaer Labs measures what models can do, watches what they actually do, and works on closing the gap. In public, at a price anyone can check.
- HealthcareTriage advice at 3am
- EducationA tutor for the kid nobody tutors
- GovernanceCasework nobody should wait months for
- ClimateForecasts that reach the farm in time
- EnergyGrids balanced by the minute
- TransportRouting that respects the school run
- AgricultureSoil advice in the local dialect
- JusticePaperwork read properly, for once
- FinanceSmall print, actually explained
- CitiesPlanning decisions people can question
- WelfareBenefits found before they lapse
- ResponseThe first hour of a bad day
- LanguageThe other six thousand languages
- ScienceHypotheses tested while you sleep
- AccessibilityInterfaces that meet people halfway
- CultureArchives that answer back
The models got smart.
Now they have to get good.
Read our mission
Four ways we
do the work
One lab, four programmes. Each one exists because we kept asking a question nobody could answer with a leaderboard.
Research & insights
Behaviour Benchmark
Scores from people who use these systems for a living. Not "did it pass the test" — did it help, did it hold up, and what did it cost.
See the methodPrivate evaluations
Civic Systems
When an institution puts a model between itself and the public, something changes. We find out what — before the public has to.
Work with us
How we look
inside
Five instruments, one discipline: never claim more than you observed, never observe less than you claimed.
Behavioural probes
Structured scenarios, run thousands of times — before deployment, not after the apology.
Interpretability audits
We trace an answer back to the mechanism that produced it. When we can't, we say so in the report.
Deployment tracing
We follow live systems for months. Habits change slowly. Harms compound quietly.
Alignment stress-tests
We push until the incentives show through. Better us than someone with worse intentions.
Cost curves
A right answer nobody can afford is still a wrong answer. We publish the price next to the score.
Benchmarks happen
in the lab
Behaviour happens
to people
The Atlas
of Model
Behaviour
300+models mapped since we started counting
42domains where behaviour gets measured
1.2Beveryday interactions in the trace corpus
18×cheaper to evaluate than a year ago — and falling
50+institutions who read us before they deploy
Deploying a model where it matters? Read us first.
Open the Atlas
Memory. Judgement. Doubt.
Taste. Care.
Everything that makes a human, human — that's the standard we align to. Not engagement. Not throughput.
How we hold that line
the field.
Model behaviour became public infrastructure. Nobody voted for it.
Somebody should at least be taking notes. That's the job: watch carefully, write it down, publish where anyone can read it, and charge nothing for the truth.
Anyone can generate.
Understanding is the scarce thing.
If you're about to put a model in front of people who never asked for one — talk to us first. It's cheaper than the alternative.
Start the conversationFair
questions
What is Kaer Labs, in one breath?
An independent research lab in London. We study what AI models actually do once they're out in the world — in hospitals, classrooms, ministries, kitchens — and we publish what we find so that trusting a model stops being an act of faith.
What do you mean by "democratising intelligence"?
Three curves, all bent the right way. Reliability high enough to put in front of a stranger. Cost low enough that the next question is effectively free. And evaluations open enough that you don't have to take our word for anything. Miss any one of the three and intelligence stays a luxury good.
Aren't there already a hundred benchmarks?
There are. Most of them measure what a model can do on its best day, with a well-posed question and a patient grader. We measure what it does on an ordinary Tuesday, for a tired person, with a badly-worded question and something real at stake. Those are different numbers. The second one is the one that matters.
Who reads your work?
Institutions deciding whether to deploy, builders deciding what to build on, and researchers who want behavioural evidence rather than leaderboard positions. The Atlas is public. The private studies belong to the partners who commissioned them — minus anything the public deserves to know, which we negotiate up front, in writing.
What does "aligned with human values" actually mean here?
We keep a working list — memory, judgement, doubt, taste, care, humour, patience — the unglamorous faculties that make a human, human. A system is aligned, in our books, when it strengthens those faculties in the people who use it rather than quietly renting them out. It's a high bar. That's rather the point.