From AI research to deployable scientific platforms.
Many critical domains need AI systems that can reason over scientific evidence, work with domain experts, integrate multimodal data, support decision-making, and improve over time.
AI for Climate-Resilient Biology
An AI scientist for climate-resilient biology, helping teams explore interventions with literature-grounded reasoning and optimization workflows.
View directionAI Scientist Infrastructure
Agentic systems for literature review, hypothesis generation, experiment planning, simulation, optimization, and research workflow automation.
View directionAI for Screening and Diagnostics
AI-enabled tools for screening, diagnostic decision support, clinical workflows, and low-cost healthcare delivery.
View directionAI for Health and Wellbeing
Decision support models for climate, heat, and human health, helping communities and care teams anticipate environmental risks.
View directionAI for Climate and Land Systems
Decision-support systems for forests, agriculture, land-use planning, ecological resilience, carbon removal, and climate adaptation.
View directionAI for Food and Agriculture
AI-accelerated breeding, high-throughput phenotyping models, donor-discovery engines, and trait prioritization for yield under stress.
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