inmydata is a data platform designed for the AI era. We help teams unlock the full value of their data through powerful tools for data preparation, governance, and secure access—and enable teams to build agentic AI solutions powered by trusted data.
We're building a unified platform that simplifies building Agentic AI solutions with data across your organization—whether you're a data scientist, analyst, engineer, or business leader.
🔹 Conversational Analytics Empower decision-makers with natural language access to your data—no SQL required.
🔹 Data Preparation & Pipelines Connect, clean, and transform data from multiple sources with ease.
🔹 Secure Data Exposure for AI Projects Safely expose curated datasets to your AI agents and LLM applications with built-in governance.
🔹 AI Consultancy We work with businesses to design, build, and scale AI solutions—powered by trusted data.
We believe that access to clean, governed, and usable data is the foundation of any successful AI project. That’s why we’re building tools that:
- Respect data privacy and control
- Bridge the gap between business users and technical teams
- Accelerate time to insight with automation and conversational interfaces
Explore our GitHub to see what we're working on:
- 🧪
agent-examples: Sample use cases for the inmydata agents Python library. - 🧠
agents: Python library to build AI agents that access data from the inmydata platform. - 🌐
web-components: WebComponents-based custom HTML elements to embed AI copilots, insights, and dashboards. - 🧩
dotnet-component-examples: C# WinForms client using inmydata analytics components. - 💡
openedge-component-examples: Use inmydata Windows Forms analytics in Progress OpenEdge GUI for .NET. - 🖥️
openedge-gui-component-examples: Examples of integrating inmydata OCX components in Progress OpenEdge GUI apps. - 🐍
PUG-Challenge-2025: Examples and source for our PUG Challenge 2025 Workshop. - ⚙️
AgentMCP: An MCP server that enables AI agents to access inmydata's powerful data querying capabilities through a standardized interface. - 🎧
LiveKit_mcp_client: LiveKit MCP client (Python).
(Repositories may be private if under active development—get in touch if you're interested in early access.)
We're always open to collaboration and feedback.
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“AI needs good data like engines need good fuel. We make it easy to collect, clean, and control yours.” — The inmydata Team