Datris
Category: AI Infrastructure
An open-source, agent-native data platform built around the Model Context Protocol (MCP) that enables AI agents to interact with enterprise data as first-class citizens. Datris was founded in 2025. The company is led by Todd Fearn. Based in New York, USA. Team size: 1-10. Total funding raised: Undisclosed. Latest round: Seed (Feb 2025). Key investors include Todd Fearn.
- Founded
- 2025
- Headquarters
- New York, USA
- Team size
- 1-10
- Total funding
- Undisclosed
Value proposition
Simplifies the integration between LLMs and enterprise data by providing a standardized, secure, and natural-language-driven interface for AI agents, eliminating the need for complex proprietary APIs.
Products and solutions
Datris MCP Server, Agent-Native Data Platform, AI-Powered Data Quality & Transformation Engine, Multi-Destination Data Pipelines, Integrated RAG (Retrieval-Augmented Generation) Support
Unique value
It is the first data platform to utilize the Model Context Protocol (MCP) as its primary architectural interface, moving away from traditional API-heavy integrations to an agent-centric model.
Target customer
Enterprise data engineers, AI developers, and organizations building autonomous AI agents or agentic workflows.
Industries served
Financial Services, Enterprise Software, AI Infrastructure, Data Engineering
Technology advantage
Combines bank-grade data architecture with the flexibility of open-source MCP, allowing for natural language data engineering and real-time pipeline management that is natively compatible with leading AI models like Claude and ChatGPT.
How they differentiate
Datris is the first 'agent-native' data platform built specifically around the Model Context Protocol (MCP). Unlike traditional ETL tools that add AI features as plugins, Datris uses MCP as its core architectural interface, allowing AI agents to interact with enterprise data using natural language without proprietary APIs.
Main competitors
Airbyte, LlamaIndex, LangChain
Key partnerships
Anthropic (via the Model Context Protocol ecosystem), Major Cloud Providers (AWS, Snowflake, and Postgres connectors), Open-source AI developer community
Notable customers
Early-stage financial services firms, Open-source AI developer community
Major milestones
Official launch of the first open-source data platform built around the Model Context Protocol (MCP) in February 2025., Released a suite of agent-native connectors for AWS, Snowflake, and Postgres., Established a 'bank-grade' data architecture designed by veteran financial systems architect Todd Fearn.
Growth metrics
Launched as an open-source project in early 2025; currently focused on developer adoption and MCP ecosystem integration.
Market positioning
Early-stage open-source disruptor in the AI Infrastructure and Data Engineering space.
Geographic focus
North America (Headquartered in New York), with a global reach via its open-source distribution.
Patents and IP
No registered patents disclosed; the company currently prioritizes an open-source distribution strategy.
About Todd Fearn
Todd Fearn is a veteran technology executive and serial entrepreneur with over 30 years of experience in financial services technology and enterprise architecture. He has held senior engineering and leadership roles at premier global institutions including Goldman Sachs, Salomon Brothers, Deutsche Bank, Bridgewater Associates, Credit Suisse, Bank of America, and Citibank. As a serial entrepreneur, he previously founded and led venture-backed companies such as REV Entertainment (funded by Warner Music), KaanBaan/Code360 (XML server software), and Chord Corporation (LAN messaging). Most recently, he served as the Founder and President of IData Corporation before launching Datris.
Official website: https://datris.ai