Services  ·  Infrastructure

Make your product agent-ready.

The next wave of users are agents. We build the infrastructure that lets LLMs and AI agents discover, understand, and safely act on your product — MCP servers, clean APIs, retrieval pipelines, and model integration done properly.

Senior engineers onlyProject or retainerShipped in weeks
the stacklive
01 — AI-Native Infrastructure,

AI-Native Infrastructure, done at senior level.

MCP servers

Model Context Protocol servers that expose your product to Claude, ChatGPT, and any agent — typed tools, auth, and safe scopes so AI can use it without breaking it.

APIs & SDKs

Clean, documented public APIs and SDKs designed for both humans and machines, with the affordances agents need to succeed.

RAG pipelines

Ingestion, chunking, embeddings, and vector search that keep answers grounded, fresh, and cheap — with evals so quality is measured, not guessed.

Model integration

Streaming, tool-calling, caching, and fallback across providers — wired into your app with cost and latency under control.

02 — From problem to production

From problem to production in weeks.

Audit & design

We map how agents and models should touch your product, then design the surface — MCP tools, endpoints, and retrieval — around real use, with security first.

Build & instrument

We implement it with auth, rate limits, logging, and evals, so you can see exactly what the AI is doing and what it costs.

Ship & document

Deployed on your infrastructure with SDKs and docs. Your team — and any agent — can build on it immediately.

03 — Questions

Questions we get asked

Q1

What is an MCP server and do we need one?

An MCP (Model Context Protocol) server is a standard way to expose your app's data and actions to AI agents like Claude. If you want agents — yours or your customers' — to use your product safely, it's fast becoming the way to do it.

Q2

Can you improve our existing RAG that gives wrong answers?

Yes. Bad RAG is usually a retrieval and evaluation problem, not a model problem. We instrument it, fix chunking/embeddings/ranking, and add evals so accuracy is measurable.

Q3

Do you work with our current stack?

Almost always. We integrate with the databases, clouds, and frameworks you already run rather than forcing a rebuild.

Q4

Who owns the infrastructure?

You do. It runs in your accounts and repos, and we build it so it can be operated without us. Most clients keep us on a monthly retainer to keep extending it.

Let's build the thing you actually own.

Tell us the problem. If it's a fit, we scope it and start in days, not quarters.

Book a build call