Safe to use
Answers reliable enough to use as they are, without review.
AI reliability research
Knowing which AI answers to trust.
Kanseko is an AI research and development company. We work on language model reliability: telling, one answer at a time, whether what a model says is likely right or likely wrong.
Error detection
Find the answers most likely to be wrong.
Correctness
Identify the answers that can be trusted as they are.
Evaluation
Measure reliability honestly, on real tasks.
The problem
A wrong answer looks just like a right one.
Say a model answers 10,000 questions a day. How many of them does a person actually need to look at?
Language models sound just as confident whether they're right or wrong. So teams that rely on them are left with two bad options: check every answer, which is slow and expensive, or check none, which is risky.
We think there should be a third option: a clear call on each individual answer, so people can spend their attention only where it's needed.
What we're working toward
A clear call on every answer.
The aim of our research is to sort each answer a language model produces into one of three outcomes.
Needs review
Answers worth a second look from a person or a stronger model.
Likely wrong
Answers likely to be incorrect, or that failed to produce a usable answer.
How we work
We'd rather show the curve than a cherry-picked number.
AI is full of impressive numbers that don't hold up on real tasks. We decide what we're testing before we run it, compare against controlled baselines, and report full curves rather than a single favorable point.
Kanseko grew out of research in model distillation, and we hold our own claims to the same standard we'd hold anyone else's.
Contact
Interested in our work?
For more information about Kanseko and our research, email us.
contact@kanseko.com