Lium AI

https://www.lium.ai/

Contact for pricing (no public pricing available)

Natural Language Data Query — Ask questions in plain English across any connected data source
Agentic Data Structuring — AI agents automatically restructure raw, complex data into LLM-compatible formats
Compute on Demand — Terabyte-scale scanning without DevOps or cluster management
Multi-Source Reasoning — Reasons across structured databases, unstructured documents, and live APIs simultaneously
Shared Knowledge Artifacts — Every analysis, script, chart, or tool is saved as a reusable workspace artifact
Custom Tool Building — Lium builds custom tools and transformations that improve future answers
Geospatial Intelligence — Combine satellite imagery, terrain models, and vector datasets into unified analysis
Industry Verticals — Purpose-built for energy, geospatial, space, engineering, manufacturing, and scientific research
Early Customers — nexGEN, Imaged Reality (Stratbox), North Carolina Institute for Climate Studies (NOAA data)

Solves a real, unsolved problem: making complex scientific/industrial data legible to AI
Agentic approach addresses the actual bottleneck (data formatting) rather than just prompting better
Strong customer evidence across energy, geoscience, climate research, and astrophysics
Compounding intelligence: system gets smarter with every query over time
Compute on demand: no DevOps or cluster management required
Shared artifacts: analyses and tools created are reusable by teammates and future agents
Provenance: technology validated in demanding scientific environments (NASA Chandra data)
$5.5M seed funding from reputable impact investors (SJF Ventures, Wavemaker 360, Reach Capital)
Fresh launch (June 2026) — first-mover advantage still available

Not self-serve for non-technical users — requires domain expertise to use well
Very new platform (launched June 2026) — early-stage with likely evolving features
No public pricing — requires sales conversation to evaluate cost
Enterprise features (access controls, audit logging, compliance) may not be fully mature yet
Focused on technical/scientific domains — not relevant for general office productivity use cases