About Ilayer
A studio that ships, then stays
Ilayer is an AI engineering studio that builds and operates production AI agents, grounded RAG, and the evals that keep them honest.
Ilayer builds AI that has to hold up in front of real data. The bar is simple. An AI system that hands you a confident wrong answer is worse than one that admits it does not know. We build the second kind, and we measure it.
Most of the work is the part teams skip: the evals, the honesty gate, the citation trail from an answer down to the record it came from. That is what turns a demo into something you can put in front of a customer.
We embed with your team and stay past launch. Monitoring, incident response, and the slow tightening of a system that has to keep being right. Fewer demos. More things that run.
Why there are no names here
You will not find a founder name, a team page, or an office address here. Most of the work runs inside other companies' systems under agreements that do not allow us to talk about it, and a client list that reads well is worth less than the discretion. What we will put our name to is on this site, sourced and dated: the numbers, their limits, and the methods behind them.
Where this comes from
One production system, on the eval battery run at every release. It measures whether a refusal was correct, not whether the system refused often enough.
Where this comes from
Same system. Corpus size is evidence the approach holds at scale, and nothing at all about answer quality.
Where this comes from
A different system from the two figures beside it: the studio's own security research pipeline, not a client deployment. It is here because the pattern, adversarial verification before anything ships, is the one we reuse everywhere.
Capabilities
What we can build and run
AI is the headline, but the depth underneath is what makes it hold in production.
The infrastructure underneath
We run the cloud your agents sit on, and fix it with diagnosis instead of bigger boxes.
- Cut a production cloud bill 60 percent in one evidence-first audit, zero new capacity
- Drove a flapping API's p99 latency down 77 percent with config, not compute
- Monitoring and budgets set up so the next problem pages the right person
AI for smart-contract security
Multi-agent systems that audit smart contracts and surface real findings, where AI meets web3.
- A multi-agent pipeline that runs several models against each other on the same target
- A seven-gate stack every candidate finding clears before a human sees it
- Real high and medium findings on live, audited DeFi protocols
Start a project
Name the workflow that eats your team's week
Name the workflow that eats your team's time. We will tell you honestly whether AI fits, and if it does, scope a first piece with a known price.