Lium raises $5.5M to unlock complex scientific data for AI models
$5.5M. That's what Lium just raised to let AI models tackle the messiest scientific datasets on Earth.

Why it matters
A new startup is solving a real bottleneck for enterprises: getting LLMs to work with complex, unstructured scientific data. This is the infrastructure layer between raw data and model value—exactly where founders are losing weeks of engineering time.
The key facts
5 to knowLium (formerly Astromind) closed $5.5M seed round
Investors: SJF Ventures, Wavemaker 360, Reach Capital, GC&H Investments
Product: 'agentic harness' for LLMs to process complex scientific datasets
Based in Dallas
Announcement date: June 10, 2026
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Lium, a startup formerly known as Astromind, today announced the launch of an “agentic harness” that helps large language models dig into the most complex and messiest datasets. The launch comes after it closed on $5.5 million in seed funding from investors that included SJF Ventures, Wavemaker…