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@inmydata

inmydata

AI Data Platform meets Expert AI Guidance

👋 Welcome to inmydata

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.


🚀 What We Do

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.


🧠 Why inmydata?

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

🛠️ Projects & Repos

Explore our GitHub to see what we're working on:

  • 🧠 agents: Python library to build AI agents that access data from the inmydata platform.
  • 🧠 openedge-agents: Python library to build AI agents that access data from the PAS or Classic AppServer.
  • 🌐 web-components: WebComponents-based custom HTML elements to embed AI copilots, insights, and dashboards.
  • 🖥️ openedge-gui-component-examples: Examples of integrating inmydata OCX components in Progress OpenEdge GUI apps.
  • 💡 openedge-component-examples: Use inmydata Windows Forms analytics in Progress OpenEdge GUI for .NET.
  • 🧩 dotnet-component-examples: C# WinForms client using inmydata analytics components.
  • 🧪 agent-examples: Sample use cases for the inmydata agents Python library.
  • 🐍 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).
  • ⚙️ OpenEdgeAgentMCP: An MCP server that enables AI agents to access PAS and Classic AppServer's via inmydata's powerful ABL data querying capabilities through a standardized interface.

(Repositories may be private if under active development—get in touch if you're interested in early access.)


📫 Get in Touch

We're always open to collaboration and feedback.

🌐 Website 💬 LinkedIn 📨 Contact Us


“AI needs good data like engines need good fuel. We make it easy to collect, clean, and control yours.” — The inmydata Team

Popular repositories Loading

  1. PUG-Challenge-2025 PUG-Challenge-2025 Public

    Examples and source for our PUG Challenge 2025 Workshop

    Python 1 2

  2. agents agents Public

    The inmydata agents Python Library enables you to build AI agents that can rapidly access data from the inmydata platform.

    Python 1

  3. agent-examples agent-examples Public

    Examples using the inmydata agents Python Library

    Python

  4. dotnet-component-examples dotnet-component-examples Public

    This repository provides a working example of how to integrate and use the inmydata Windows Forms components in a C# WinForms client application.

    C#

  5. openedge-component-examples openedge-component-examples Public

    This repository contains a working example of how to embed and use inmydata's Windows Forms analytics components in a Progress OpenEdge GUI for .NET application.

    OpenEdge ABL

  6. openedge-gui-component-examples openedge-gui-component-examples Public

    This sample project demonstrates how to integrate and use inmydata OCX desktop components within a Progress OpenEdge GUI application.

    OpenEdge ABL

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