MCP · Agents · AI apps

We connect your data to the AI your team already uses

We build MCP servers, agents and AI apps that give Claude, ChatGPT and your own agents secure access to your systems. We come from data engineering, so your AI works on real, reliable data.

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MCP on Airflow, Trino, Spark and YARN
Security and permissions by design

Assistant · connected to trino-mcp

Which regions sold the most last week?

trino-mcp›run_query200 · 0.8s

SELECT region, SUM(amount)
FROM hive.sales.orders
WHERE week = '2026-W38'
GROUP BY 1 ORDER BY 2 DESC

Sales by region · week 38

NorthUSD 412k

CentralUSD 356k

SouthUSD 298k

North led the week, followed by Central and South. Want the breakdown by product?

What we do

From data to agent, no shortcuts

Four lines of work that combine depending on what your team needs.

MCP servers & MCP Apps

We connect your systems, APIs and data to Claude, ChatGPT and any Model Context Protocol client.

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AI agents & automation

Agents that run processes end to end: they research, decide, use tools and report back, with human oversight where it matters.

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Generative AI apps

Internal copilots, search over your documents (RAG) and AI features built into your products.

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Data platforms + AI

MCP and agents on your data platform: Airflow, Trino, Spark and YARN within reach of your team, right from the chat.

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Why us

AI is only as good as the data it can reach

We come from data engineering, and today we build MCP products on Airflow, Trino, Spark and YARN. We know how to orchestrate, query and monitor data, which is exactly what makes an agent answer well.

Hands-on experience with data platforms: Airflow, Trino, Spark
MCP servers with OAuth, permissions and audit logs
Evals that measure quality, not just demos
Your code, your infrastructure, no lock-in

How it fits

Your teamClaude · ChatGPT · custom agents
MCP servertools · resources · permissions
Your systemsAirflow · Trino · Spark · APIs

How we work

From prototype to production, step by step

01
Discovery
We map the process, data and systems, and define what to measure and where AI adds real value.
02
Prototype
A fast, focused working prototype on your data to validate before investing further.
03
Production
Security, permissions, evals and monitoring. Deployed on your infrastructure or ours.
04
Evolution
We track usage and quality, tune, and add capabilities as your team adopts it.