Lium AI

Lium AI is a pattern recognition tool. A browser-based analytics workspace where you select an AI agent, connect data, and work through structured analyses such as clinical trial funnels, energy zone studies, calibration workflows and factor exposure decompositions. Aimed at technical and professional teams that want agent-assisted pipelines rather than dashboards.

Lium is a web workspace where you hand a dataset to an AI agent and get back a finished analytical workflow. The homepage frames the product as an agent selector paired with a chat space: you pick an agent, connect your data, and describe the analysis you want. It is built for people who already know what a defensible answer looks like and want the assembly done faster, not for casual users looking for chart suggestions. The published example gallery is the clearest window into its range. A Phase 2 trial enrollment funnel shows screening and randomization stages with power figures. Tidal noise and gas zone work covers a 30 day energy window across seven zones. An Orion calibration example sits in aerospace processing. A factor exposure decomposition works through FF5 plus macro factors, momentum, size, value and oil, with a tilt figure and a comparison against a benchmark. Each example names an industry, a task type (analysis or workflow), and the shape of the output, which tells you the tool is aimed at producing structured, reviewable results rather than one-off answers. In practice the flow is simple: sign in, choose an agent, connect data, then iterate in conversation. The interface includes theme options and an English auto setting, and the workspace is accessed entirely in the browser with an account. The example cards are useful as starting templates; "Shuffle" and "View all 18" on the homepage point to a browsable library of finished workflows that show what a well-formed request looks like before you commit your own data. Alternatives split along two lines. General chat assistants can run code over a file but leave orchestration, documentation and repeatability to you. Statistical and BI platforms are strong on dashboards but expect you to build the pipeline yourself. Lium's pitch sits between them: agent-mediated analysis with a visible library of finished professional workflows. Teams working in regulated or technical domains should verify output themselves, since the agent is doing the assembly.