Artificial Intelligence
AI Materials Discovery
An emerging application of AI foundation models to discover and screen novel materials -- from battery electrolytes to catalysts to semiconductors -- compressing R&D timelines from years to months. Cambridge-based CuspAI launched its AI Materials Foundry in July 2026, a network of 45+ organizations able to screen roughly 300 trillion molecular structures within six months, backed by a $450 million Series B at a $2.6 billion valuation led by Kleiner Perkins and NEA with participation from Bezos Expeditions; the broader materials informatics sector is estimated to reach $410.4 million by 2030 at a 19.2% CAGR.
Additional Intelligence Signals
Patent citation lineage, earnings-call mentions, and federal contract disclosures — automatically collected, not yet visible anywhere else on the site.
Sources
Every claim traced to a primary source — evidence, recent activity, and insider filing behavior, all in one place.
Evidence
1 source · 60% avg. source confidence
- SiliconANGLE — CuspAI launches AI Materials Foundry, raises $450M at $2.6B valuation60% source confidence
Dependency Map
What AI Materials Discovery depends on below, and who depends on AI Materials Discovery above — click any node to make it the new center, 2 levels deep.
Connection type
Click any node to make it the new center. Scroll to zoom, drag to pan.
The Story So Far (last 6 months)
Auto-generated from this entity's dated milestones, relationship updates, and sourced evidence — not AI-written, just sorted.
AI Materials Discovery's Timeline
A sourced, dated history of AI Materials Discovery's key moments — founding to present.
Jul 2026 · CuspAI launches AI Materials Foundry, raises $450M Series B
CuspAI launched its AI Materials Foundry, a global network of 45+ collaborating organizations able to screen roughly 300 trillion molecular structures within six months, alongside a $450 million Series B round at a $2.6 billion valuation led by Kleiner Perkins and NEA with participation from Bezos Expeditions.