The Lium Platform
The operating system where your agents and your data meet
The operating system where your agents and your data meet
Lium is a cloud operating system for agents. It abstracts your connections, data, tools, and compute behind one interface — so your agents and your team can analyze anything, from anywhere, without wiring up a single pipeline.
The idea
What an operating system does for agents
An operating system hides the machine. Applications never manage memory, schedule processors, or talk to disks directly — the OS does that for them, so software can just run.
Lium is that layer for AI agents. It abstracts your connections, your data, your tools, and your compute behind a single interface — so an agent can read a file in the cloud, run code against it, and hand back a report without ever knowing where the data lives or how the compute was provisioned. You bring the questions; Lium runs the machine.
The stack
One layer between your agents and everything else
Agents and data never touch directly. Lium sits between them — brokering access, virtualizing storage, and running tools and compute — so neither side ever has to know about the other.
Experts & AI agents
Lium OS
Workspaces
Orchestrates everything below and turns outputs into a knowledge base that compounds.
Build & reuse, sandboxed
Scales itself
Virtualized, federated data
Secure brokered access
Your data, everywhere
What’s inside
One operating system, five layers
Each layer abstracts something an agent would otherwise have to handle itself — following the same path your data takes, from a raw connection to a finished insight.
Connections
Secure access to anything — without leaking a secret
Lium brokers every inbound and outbound connection for you. Credentials are encrypted at rest and never exposed to the agent: an agent can read from a database, a warehouse, or an API anywhere, while the secret stays sealed inside Lium. Access without exposure.
Artifacts
A virtualized, federated file system
Your data becomes one file system, wherever it actually lives — Amazon S3, Azure, and Google Cloud today, with Snowflake and more on the way. Enterprise data is too large for any agent's context window and too large for any single machine, so Lium turns it into compressed semantic representations an agent can actually reason over. To the agent, everything is simply a node of data — no formats, no locations, no size limits to manage.
Tools
Agents that build their own tools — safely
Lium runs arbitrary code in sanitized sandbox environments, so an agent can build exactly the tool a problem needs — then keep it. Lium hosts its own MCP server for both Lium-authored and organization-authored tools, extending the shared, composable vocabulary agents already know from the command line into enterprise data science. System tools, the workbench, and your team's proprietary tools are all reusable anywhere in your chats.
Compute plane
Compute that scales itself
Real analysis outgrows a laptop fast. Lium's compute plane scales vertically and horizontally to meet the work — with or without hints from you or your agents — and you never orchestrate a thing. No clusters to size, no jobs to schedule. Lium just does it.
Workspaces
Where outputs become knowledge
Workspaces are the surface you and your agents actually work on — often pre-built for your discipline — orchestrating everything beneath them. They focus the work on specific outputs: analyses, reports, insights. Then comes the loop that compounds: every insight is written back as new data, so one analysis becomes the raw material for the next. Raw data, compressed representations, and your curated knowledge base live together on purpose — your understanding grows with every investigation instead of resetting.
