The one-pager
The visual setup: why the electricity/oil analogy for AI breaks, and why specialist runtimes win when learning has to be contextual. Click the image to open it full-size.
The problem
- Businesses know they need more AI than they have today.
- They also know that whatever AI they have lacks capital and operational controls.
- They don't see how to own AI versus rent it from OpenAI and others forever into the future.
The solution
They need to invest in specialist AI they can control and own. They need ART — even if they call it something different. ART is synonymous with specialist AI that can be governed, verified, and trusted with real business processes. (See the VERIFY Runtime Rubric for how we evaluate whether a specialist runtime is production-grade.)
Proverify.ai frames this as financing, building, and deploying ART specialized for each customer's situation. We do this using two product lines — TokenOps and RunTime. We deploy these offerings much like how Schlumberger or NextEra does for oil and gas and utility companies: we bring the technology, know-how, and expert talent our clients use to stand up reliable, controllable specialist AIs they own — faster and better than anyone else in the market.