Answers directly
When the evidence clearly supports one answer, Kayla gives it — plainly, without hedging.
Every AI assistant ships the same disclaimer — “AI can make mistakes” — printed identically under a correct answer and a fabricated one. It carries no information about the response it’s attached to. We built something that does.
Instead of a constant disclaimer, every response carries a calibrated, response-specific signal that a workflow — or a person — can act on.
When the evidence clearly supports one answer, Kayla gives it — plainly, without hedging.
When the evidence doesn’t clearly separate the possibilities, Kayla says so and shows what it’s weighing instead of picking one and hoping.
When nothing clears the bar, Kayla says it doesn’t have enough basis to answer and routes to a human — instead of guessing confidently.
Our reference system runs inside hardware designed to keep the conversation encrypted from the infrastructure operator itself — not just from other customers, but from the cloud provider and from Kayla. It produces a cryptographic proof that a third party can check independently, rather than a promise to take on faith.
This is a small reference model demonstrating the approach, not yet the model serving the full Kayla product. We publish the honest limitations because a claim that overstates what it verifies is worse than no claim.
Our engineering team published a technical report on this work. Email us and we’ll share it.