Lium.ai

Allows users to interact with complex data and generate knowledge outputs using natural language, making data work accessible and easy.

Connects and unifies diverse data sources including databases, files, APIs, instrument outputs, and internal tools, capable of handling bespoke formats, messy data, and terabyte-scale datasets across any domain.

Lium automates tasks such as writing code, building tools, blending data, and creating knowledge outputs, significantly reducing manual engineering effort.

Automatically provisions necessary compute resources for heavy tasks, such as scanning terabytes of data, eliminating the need for DevOps, cluster management, or waiting for tickets.

Saves useful analyses, scripts, charts, datasets, or tools as shared artifacts in a workspace, allowing teammates and future agents to re-run, share, or build upon previous work. Workbenches enable sharing repeatable workflows.

Integrates and reasons across specialized datasets in domains like geospatial, energy, space, and infrastructure, providing unified intelligence by combining layers that traditional tools treat separately.

Includes core components such as data connections, AI agents & models, built-in and custom tools (MCP), compute & code execution in secure sandboxes, and artifacts for durable knowledge, available across all plans.