Agentic AI · Foundation Models · Longevity

The next decade of drug discovery will be written by autonomous agents.

From 2026 to 2036, the Giri Pillai Lab is building agentic AI co-scientists, biology foundation models, and GPU-native chemistry that collapse the path from target to clinic — with longevity, rare disease, and global health at the centre.

Abstract molecular structure visualisation

"Great challenge in science is how to best incorporate the existing knowledge."

Giri Pillai Lab · Science for Society

10yr
Vision horizon 2026–2036
41
Peer-reviewed papers
15+
Years in discovery
2k+
Talks & training sessions
2026 — 2036 · A decade of agentic science

The technology shaping the next ten years

Three converging frontiers — autonomous AI agents, biology foundation models, and GPU/quantum-native chemistry — rewriting how medicines are discovered.

View all research
01

Agentic AI Scientists

Autonomous LLM agents that reason across chemical space, orchestrate docking and MD pipelines, and design molecules with minimal human steering — the lab partner of the next decade.

02

Foundation Models for Biology

Protein, molecule, and cell-state foundation models (AlphaFold-class, ESM, Boltz) fused with mechanistic ML to map disease biology and longevity targets at unprecedented scale.

03

Quantum & GPU-Native Chemistry

Diffusion-based generative chemistry, GPU-accelerated MD, and early quantum-assisted free-energy methods — compressing lead optimisation from years to weeks by 2030.

The 10-year roadmap

Milestones we're building toward — from today's agentic prototypes to autonomous, clinic-ready discovery by 2036.

  • 2036Goal — autonomous discovery loops delivering clinic-ready candidates
  • 2030Foundation-model-native SAR & longevity pipelines in routine use
  • 2026Agentic AI co-scientists deployed across active discovery programmes
  • NowLead Scientist, Sygnature Discovery — UK