Lium is a collaborative AI platform that helps domain experts get reliable answers from messy, massive, multimodal datasets. Connect terabyte size data in any format, ask questions in plain English, generate knowledge artifacts, and turn verified analysis into reusable workflows your team can build on. Lium brings together data across geospatial, energy, space, and other complex domains so work that once required weeks of engineering can happen in a single conversation.
Hey Product Hunt! Ryan here, one of the co-founders of Lium.
A quick story on how we got here.
A few years ago, my co-founder and I had been working with AI long enough to see both its immense potential and its limitations. The thing we kept coming back to was that much of the world’s most important data is still incredibly hard for AI to work with: too large, too complex, too multimodal, too domain-specific. That’s what led us to build Lium.
Lium is an agentic harness purpose-built for large, complex, multimodal data. It helps teams connect with terabyte-scale datasets, ask critical questions where the answers can’t be hallucinated, generate meaningful knowledge artifacts, and turn ad hoc analysis that used to take weeks or months into repeatable, collaborative workflows in minutes.
We sometimes describe it as: if Cursor and Notion had a baby, it would be named Lium.
We built Lium to be easy enough for anyone to use, including scientists, analysts, operators, domain experts, and data teams working with the messy, massive, high-stakes data that powers the real world.
We’ve poured our hearts into this and would genuinely love your feedback.
Please give Lium a try and let me know what you think!
About Lium AI on Product Hunt
“AI for Complex Data”
Lium AI launched on Product Hunt on June 11th, 2026 and earned 122 upvotes and 11 comments, placing #13 on the daily leaderboard. Lium is a collaborative AI platform that helps domain experts get reliable answers from messy, massive, multimodal datasets. Connect terabyte size data in any format, ask questions in plain English, generate knowledge artifacts, and turn verified analysis into reusable workflows your team can build on. Lium brings together data across geospatial, energy, space, and other complex domains so work that once required weeks of engineering can happen in a single conversation.
On the analytics side, Lium AI competes within Artificial Intelligence, Science and Data Science — topics that collectively have 476k followers on Product Hunt. The dashboard above tracks how Lium AI performed against the three products that launched closest to it on the same day.
Who hunted Lium AI?
Lium AI was hunted by Ryan Thill. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Lium AI including community comment highlights and product details, visit the product overview.
Ryan Thill
Hey Product Hunt! Ryan here, one of the co-founders of Lium.
A quick story on how we got here.
A few years ago, my co-founder and I had been working with AI long enough to see both its immense potential and its limitations. The thing we kept coming back to was that much of the world’s most important data is still incredibly hard for AI to work with: too large, too complex, too multimodal, too domain-specific. That’s what led us to build Lium.
Lium is an agentic harness purpose-built for large, complex, multimodal data. It helps teams connect with terabyte-scale datasets, ask critical questions where the answers can’t be hallucinated, generate meaningful knowledge artifacts, and turn ad hoc analysis that used to take weeks or months into repeatable, collaborative workflows in minutes.
We sometimes describe it as: if Cursor and Notion had a baby, it would be named Lium.
We built Lium to be easy enough for anyone to use, including scientists, analysts, operators, domain experts, and data teams working with the messy, massive, high-stakes data that powers the real world.
We’ve poured our hearts into this and would genuinely love your feedback.
Please give Lium a try and let me know what you think!