The latest from LILA

Ben Kompa, Head of AI-Lab Innovation, has been named to MIT Technology Review's 35 Innovators Under 35. Ben's work sits at the intersection of AI and automated experimentation, exactly the kind of bridge-building this recognition is meant to celebrate.

Lila's autonomous science platform first discovered ultra-stable mRNA. Then it outperformed the leading CAR-T therapy in non-human primates.

LILA joins DOE's Genesis Mission, earning Phase I awards for three AI-driven science projects with Caltech, LBNL, Northwestern, Argonne, and NLR.

The next era of AI-for-science belongs to agents that can reason across domains and test their own hypotheses in a physical lab.

In 1997, Deep Blue defeated the world chess champion. In 2016, AlphaGo’s Move 37 showed AI could generate creative strategies no human had ever conceived. Now, in 2026, we are witnessing the equivalent moment for all of science. Companies like Lila Sciences are building AI systems that autonomously perform the scientific method (generating hypotheses, designing experiments, running physical labs, and iterating) at superhuman speed and scale.

Shell's Pearl GTL plant took 40 years and $19 billion to deliver ROI — a timeline oil and gas can no longer afford. This piece explores how Lila Sciences' technology is compressing R&D cycles from decades to months through autonomous, lab-based experimentation.

Lila Sciences closed a $350M Series A, bringing total funding to $550M, to scale its AI Science Factories and deploy its scientific superintelligence platform to partners tackling the world’s most complex challenges.

Lila Sciences is introducing the world’s first scientific superintelligence platform for life, chemical, and materials sciences.

Lila Sciences announced a major Series A milestone, raising $235M to advance its mission of building scientific superintelligence.