Software that lets AI learn consequences.
Businesses are putting AI to work faster than anyone can check it or afford to run it. We are building software that makes AI cheaper to run and easier to trust.
Today's AI starts every job from scratch.
It pays twice for the same work
AI re-does work it has already done, and every repeat is billed. As AI use grows, so does the bill.
Nobody can check it
When an AI acts, there is no reliable record of what it expected and what really happened. That is a problem for any business that has to answer for its decisions.
Two buyers, two reasons to pay.
Companies running AI at scale
Pay to cut what they spend on AI: fewer repeated requests, less waiting, and cheaper models doing work that today needs an expensive one. The value is spend avoided.
Companies that must answer for AI
Pay for proof that an AI did what it said it would. Regulated and high-stakes work needs that record before it can use AI at all.
Agent trust and auditability
Evidence an AI did what it said it would.
Physical AI and robotics
What one machine learns carries to the next.
Cost-efficient AI
Less repeated work, less repeated spend.
Each problem has money behind it.
Spent running AI in the cloud in 2026, more than training it for the first time: 55% of AI cloud spend.
Gartner, Aug 2026, as reported by Tech TimesSoftware to govern and audit AI, 2026 to 2030, as AI regulation is forecast to quadruple.
Gartner, Feb 2026, as reported by Nemko DigitalAI agents, the software that takes actions on a company's behalf, 2025 to 2030. About 46% a year.
MarketsandMarkets, Apr 2025Early, and honest about it.
Exists today
A working prototype where an AI's expectations are tested against what actually happens.
Being measured next
Whether that makes AI cheaper to run and more accurate than the same AI without it. Pricing to be confirmed with first customers.
Nothing more is public yet, by design. Happy to go further in conversation.
Let's continue the conversation.
If we met at the conference, I'd like to hear what you are looking for.
Ken Pedersen, Founder