Build enterprise AI, in production on day one and every day after.
Every idea becomes a complete enterprise application, live in production, with a new version shipped many times a day.
Trusted by regulated enterprises to ship AI
Building a production AI app from scratch rarely ships.
The prototype is easy. Everything between it and production is where most projects quietly die.
Integration never ends
LLM, vector database, RAG, inference gateway, data pipelines, IAM, observability: wiring them together from scratch is most of the work, and where projects stall.
Experimentation velocity dies
Quality comes from comparing models, prompts, and retrieval strategies. When every trial means re-integrating the stack, teams ship the first thing that runs, not the best.
No evals, no feedback loop
No evaluation harness means no way to catch regressions or improve. Quality plateaus, and the app never earns production trust.
AI Dev Studio is the build half of kis.ai: idea to production on day one, shipping every day after, with integration, experimentation, and evals already handled.
Three surfaces, one studio.
Anica composes the app from pre-built blocks, AI App Forge turns it into a complete application bound to your data and systems, and AI Platform Engineering ships the release to your runtime.
Plain-language builds, governed by default.
Describe what you need in plain language. Anica composes a governed, production-ready application on the platform.
Build the whole app, end to end.
Front end, back end, data and AI assembled from one interface, then integrated to the systems you already run.
Engineer in your IDE, fully in control.
Write the critical 20% in code, with CI/CD, evals and supply-chain security on every release.
One integrated toolchain you host, on your nodes, nothing leaves your network
Build it, prove it, ship it.
One continuous loop, not three disconnected steps or teams.
From idea to a working app on day one.
Composed from pre-built blocks: agents, RAG, data, auth, and evals. You write the business logic; you own all the code, and it never leaves your environment.
Experiment freely. Ship to production every day.
Swap models, prompts, and retrieval strategies, and see the eval delta immediately. Cheap experiments mean daily production releases.
Every release is evaluated, versioned, and handed to the Runtime.
Every build is scored against your evals, versioned and tested, carrying an SBOM and build provenance from CI/CD. It deploys unchanged to the Runtime.
Built and running in production today.
"An intern shipped our knowledge bot in a week. We reviewed it, we didn't build it."
Bring your hardest use case. We’ll build it.On your own infrastructure, in a day.
A paid proof of concept, built in your environment against the success criteria you set.
You’ll talk to our CTO and solutions engineers, not a sales team. Bring your security, risk, or compliance lead too.
Questions, answered.
Yes. Apps are composed from pre-built blocks and run largely from configuration, so there is little bespoke code to maintain. The business logic your team writes, and any code, is yours, owned as IP, living in your environment, and portable if you leave.
Production. What you build in AI Dev Studio is a complete enterprise application that deploys to the Runtime unchanged and runs at scale, not a demo that stalls on the way to production.
AI App Forge is where integration happens: it binds the app to your data, connects your existing systems and APIs, and produces the production application. New apps built on kis.ai interoperate with the IT estate you already run.
Yes. The entire toolchain runs on your infrastructure and nothing leaves your network. Your code is never used to train a shared model.
AI Platform Engineering gates every release: automated tests and evals, supply-chain security, and an SBOM with full build provenance. Each release is traceable and audit-ready rather than trusted blindly.
No, it changes what they spend time on. Non-developers compose and assemble applications with Anica and AI App Forge; engineers work in a full IDE through AI Platform Engineering for custom logic, review and control.
You drop into code. Anica composes from blocks and AI App Forge assembles the app, but AI Platform Engineering gives engineers a full IDE, so there is no ceiling where the tool stops and you are stuck with a prototype.
Each build is scored against your evals, versioned and tested, and carries an SBOM and build provenance from the CI/CD pipeline. It then deploys to the Runtime unchanged, which runs and protects it in production. Idea to production in days, then shipping small, validated changes every day.