Immersa
Immersa, founded in 2021 and headquartered in the United States, operates under the product name MarcoPolo, a cloud-based data computer designed to connect AI agents to live enterprise data.
Profile
Immersa provides a cloud-based data computer that lets AI agents securely query and analyze live enterprise data across multiple systems without custom integrations.
Immersa, founded in 2021 and headquartered in the United States, operates under the product name MarcoPolo, a cloud-based data computer designed to connect AI agents to live enterprise data. The company provides a secure, isolated workspace where AI clients like Claude, ChatGPT, Cursor, and GitHub Copilot can query, correlate, and analyze data across databases, warehouses, SaaS tools, and cloud storage without requiring pipelines, exports, or code. Immersa's platform uses the Model Context Protocol (MCP) to authenticate via Google, Microsoft, GitHub, or Enterprise SSO, then runs each AI session inside a Kubernetes container with scoped credentials and DuckDB for SQL execution, Python for transforms, and shell access.
The company targets enterprises needing to move beyond static CSV uploads and manual integrations, offering a governed interface that learns schema, documentation, and query history over time. As of June 2026, Immersa has not publicly disclosed funding rounds, revenue, headcount, or named customers. The company's website lists no pricing tiers, and no independent media coverage of funding, layoffs, or leadership changes was found in the provided dossier.
The three URLs in the dossier labeled as Immersa's 2026 annual revenue results are actually investor relations pages for Phreesia, Imerys, and EnerSys—unrelated public companies—and do not contain any information about Immersa. Similarly, the TechCrunch layoffs articles do not mention Immersa. The company's market position is unclear due to the lack of verifiable financial or customer data; it appears to be a pre-revenue or early-stage startup competing in the crowded MCP middleware space against tools like LangChain's MCP servers and other AI-to-data connectors. The interesting aspect is its focus on persistent execution environments and cross-source joins, but without public traction, it remains a speculative player.
Who buys this
- Enterprises using AI assistants (Claude, ChatGPT, Cursor) for data analysis
- Data teams needing to connect AI to databases, warehouses, and SaaS tools
- Organizations requiring governed, scoped access to sensitive data for AI queries
- Companies seeking to replace manual CSV uploads and pipeline building with AI-driven querying
Strengths and what to watch
Strengths
- Isolated Kubernetes containers with scoped credentials prevent data leakage to LLMs, addressing enterprise security concerns.
- Persistent execution environment (DuckDB, Python, shell) allows AI to iterate on queries without restarting, improving efficiency.
- Schema awareness and query history enable the AI to learn the data landscape over time, reducing manual setup.
Watch for
- No publicly disclosed funding, revenue, or headcount as of June 2026, suggesting the company may be pre-revenue or struggling to raise.
- The dossier contains three URLs mislabeled as Immersa's earnings results that are actually for Phreesia, Imerys, and EnerSys, indicating potential confusion or lack of verifiable financial data.
- No named customers or independent media coverage found, raising questions about market traction and competitive viability against established MCP tools.
Key Information
- Industry
- Data Integration
- Founded
- 2021
Frequently Asked Questions
What is Immersa MarcoPolo and how does it work?
Immersa MarcoPolo is a cloud-based data computer that lets AI agents like Claude and ChatGPT securely query live enterprise data across databases, warehouses, and SaaS tools without custom integrations or data pipelines.
How does Immersa keep enterprise data secure during AI queries?
Immersa runs each AI session inside an isolated Kubernetes container with scoped credentials, preventing data leakage to LLMs. It uses the Model Context Protocol for authentication via Google, Microsoft, or Enterprise SSO.
What AI assistants and tools does Immersa support?
Immersa supports AI clients including Claude, ChatGPT, Cursor, and GitHub Copilot. It allows these agents to query, correlate, and analyze data across databases, warehouses, SaaS tools, and cloud storage.
Can Immersa replace manual CSV uploads for AI data analysis?
Yes, Immersa targets enterprises wanting to move beyond static CSV uploads and manual integrations. It provides a governed interface where AI can directly query live data across multiple systems without pipelines or exports.
Has Immersa publicly disclosed funding, revenue, or customers?
As of June 2026, Immersa has not publicly disclosed funding rounds, revenue, headcount, or named customers. Its market position is unclear, and it appears to be a pre-revenue or early-stage startup.
How does Immersa compare to other MCP middleware tools like LangChain?
Immersa competes in the crowded MCP middleware space against tools like LangChain's MCP servers. Its focus on persistent execution environments and cross-source joins is interesting, but it lacks public traction and verifiable data.
Sources
- www.immersa.ai — Company product description, features (MCP integration, Kubernetes containers, DuckDB, cross-source joins), and supported AI clients.
- ir.phreesia.com — Contains no information about Immersa; is Phreesia's Q1 2027 earnings release, not Immersa's.
- www.imerys.com — Contains no information about Immersa; is Imerys' Q1 2026 earnings release, not Immersa's.
- investor.enersys.com — Contains no information about Immersa; is EnerSys' Q4 2026 earnings release, not Immersa's.