AI reliability and cost evaluation (hallucinations, evals and guardrails)
Measure how often your AI in production is wrong, makes things up and what it costs, with an automated eval suite, guardrails and model cascades.
Industry · Software companies
Product teams want AI that takes action and an API bill they can predict. Agents with tools, least-privilege permissions and a log of every action, and cost reduction with model cascades, caching and automated quality evaluation.
Sorted from the simplest to the most advanced. Each page covers the pilot scope, the timeline and how pricing works.
Measure how often your AI in production is wrong, makes things up and what it costs, with an automated eval suite, guardrails and model cascades.
A technical accessibility evaluation (WCAG), fixes to the website and the app, and an accessibility statement to meet the European Accessibility Act.
Agents with tools (APIs, databases, documents) that complete tasks end to end, with rules and an audit trail.
Lower AI spend without losing quality: model cascades, caching, local models and per-task measurement.
Inventory, risk classification, technical evaluation and documentation of your AI systems to answer customers in the EU and the US. A gap assessment, not a certification.
Our own products that serve this industry, with status and price on each page.
A course for developers: real documents, RAG, agents, evaluation and where AI ends and deterministic code begins.
Expected price: Founding cohort, then cohorts at US$ 299 to 499 (estimate); in-company workshops on request
Records a browser walkthrough script and delivers the demo GIF or MP4, with a visible cursor and always identical. Screen changed? Run it again.
Custom quote
Rebuilds the hours you worked from what the day leaves on your computer, shows what does not add up and hands your manager only the hours per project.
Custom quote
Free assessment
Describe the process that takes the most time or causes the most errors. You'll get focused questions back, or a pilot proposal with metrics.
Tell us about the process, the rough volume and the systems involved. You'll hear back from the engineer who would build it.