Connect Your Business Data to AI, Safely
AI tools are only as useful as the data they can reach. We build the plumbing: databases, MCP servers, APIs, and chatbots that give AI controlled access to your business.
Ask Claude about this month's orders. Let your support bot check a real delivery status. Give your team one AI assistant that knows your CRM, your docs, and your numbers.
From $5,000 · typically 2 to 5 weeks
The Layer Between Your Data and AI
MCP servers
Custom Model Context Protocol servers that let Claude, ChatGPT, Cursor, and your own agents query your databases, CRM, and documents with scoped permissions.
AI-ready databases
Design or clean up Postgres and other databases so your data is structured, current, and searchable by AI, including vector columns where useful.
Chatbots
Website or internal chatbots grounded in your real data, with guardrails, source citations, and a hand-off to a human.
APIs and data pipelines
Collect, clean, and move data from the systems you use into a place where AI and reporting can work with it.
Memory for AI agents
Persistent memory so assistants and agents remember context across sessions instead of starting from zero each time.
Access control and logging
Read-only by default, per-tool permissions, confirmation for changes, and an audit log of every AI request.
One Source of Truth, Many AI Tools
Instead of pasting data into chat windows or wiring each AI tool to each system separately, we build one secure access layer. Every AI tool you use, now or later, connects through it.
Inventory your data
Where it lives, who owns it, what is sensitive, and what the AI should never see.
Design the access layer
Which tools the AI gets, what each one can read or change, and how it is authenticated.
Build and secure
Database work, MCP server or API, permissions, and logging, deployed in your own infrastructure.
Connect your AI tools
Claude, ChatGPT, Cursor, a chatbot, or custom agents, plus documentation for your team.
We Publish This Kind of Infrastructure
CGC: Context Graph Connector
Our open-source MCP data connector. Links AI to PostgreSQL, MySQL, SQLite, documents, and vector databases, mapping structure first and fetching only what the AI needs.
Open source · PythonOrunla: memory for AI agents
Our open-source persistent memory system for AI agents. Knowledge graph memory, SQLite full-text search, and MCP support, running 100% locally.
Open source · RustInfrastructure Questions
What is MCP?
The Model Context Protocol is an open standard that lets AI assistants like Claude, ChatGPT, and Cursor use tools and read data. An MCP server is a controlled adapter between your systems and the AI: it decides exactly what the AI can see and do.
Will an AI be able to change or delete our data?
Only if you want it to. We build read-only access by default, scope each tool to the minimum it needs, require confirmation for actions that change data, and log every call.
Can you work with our existing database?
Yes. Most projects start from what you have, whether that is Postgres, MySQL, SQL Server, a CRM, spreadsheets, or a folder of documents. If the data needs restructuring before AI can use it well, we scope that separately.
Do we need a chatbot on our website?
Maybe not. A chatbot is worth it when you get the same questions repeatedly and have good source material to answer from. We will tell you honestly if a better FAQ page would do the job.
Which Data Should Your AI Be Able to Reach?
Tell us what systems you use and what you want AI to help with. We will map out the access layer and the cost.
Start a Project