Most AI projects work in the demo and break with real users. We build RAG systems, AI agents and MCP servers that hold up, along with the cloud and security around them. Fixed price, senior engineers, you own the code.
When AI fails in production, the model is rarely the problem. It's retrieval, tool calls, credentials, timeouts and cost. That's the part we fix.
RAG that answers from the right documents, AI agents that don't hang or leak credentials, and MCP servers you can actually run in production.
AWS, GCP and Cloudflare. Infrastructure as code, CI/CD and zero-downtime deploys.
Including the new risks from coding agents and MCP servers that can read your production credentials.
Every offer has a fixed scope, a fixed price and a clear deliverable. Bigger work is quoted the same way, in 2-week sprints.
A read-only review of your AWS, GCP or Cloudflare setup, plus the AI tools your team uses. You get a written list of what to fix, in priority order, and a call to go through it.
Let AI agents like Claude, ChatGPT or Cursor use your product's API safely. Built production-ready from day one.
A chatbot or API that answers from your own documents, cites its sources, and says "I don't know" when the answer isn't there.
A short note about your setup and the problem. We reply within 24 hours with whether we can help and what it would cost.
You see exactly what gets built, by when, and for how much. Bigger work is quoted the same way, in 2-week sprints.
Deployed, documented and tested. All code and docs we write are yours.
Try three of the twelve questions right here. The full check takes about 3 minutes, runs in your browser and gives you a fix list in priority order. Nothing is sent to us.
Machines that run AI coding agents have no production credentials on them.
CriticalFix: Move production credentials off any machine that runs a coding agent. Agents run with the developer's access.
Credentials that agents or MCP servers use are short-lived and scoped to one job.
HighFix: Replace long-lived keys with short-lived credentials from a secrets manager, scoped per tool.
MCP tools that only read data cannot write or delete anything.
HighFix: Split read and write tools and give each its own credential.
The model gets blamed for problems that live elsewhere.
RAG hallucinations are usually retrieval failures. Agent failures are usually operational: a tool call with no timeout, a credential with too much access, a schema changed in place. Before you change the model, instrument the layer around it. We write about this in the open, so you can judge our work before you hire us.
Read the Journal →Send a short note about your setup and the problem. We reply within 24 hours with whether we can help and what it would cost.