LLM scientist
Generates hypotheses, surveys microbiome, plant-stress, encapsulation, and seed-coating literature, and selects the right analysis tools.
AI-guided microcapsules for climate-resilient agriculture.
Crucible MicroCapsule fuses language-based scientific reasoning with latent-space optimization to discover microbial consortia, encapsulation materials, and release profiles that can survive real crop-stress constraints.
Reason
Optimize
Evaluate
The challenge
Microbial bioinputs need better discovery infrastructure.
Existing workflows screen strains, formulations, and delivery materials separately. That creates a gap between lab efficacy and field reliability, especially under heat, drought, water scarcity, soil variability, and shelf-life constraints.
Crucible MicroCapsule treats discovery as a coupled design problem: the microbe, consortium, shell material, release behavior, crop context, manufacturability, and biosafety constraints are evaluated together.
Platform architecture
Reasoning, retrieval, optimization, and evaluation in one open loop.
Latent optimizer
Uses Bayesian optimization, biological embeddings, compatibility signals, and uncertainty-aware search to explore strain-consortium-formulation space.
Multi-fidelity evaluator
Scores stress tolerance, nutrient-use efficiency, viability, persistence, release-profile fit, manufacturability, and responsible-release criteria.
Open benchmark stack
Releases curated datasets, model cards, baselines, benchmark leaderboards, tutorials, and reproducible software under open licenses.
Expected outcomes
From candidate discovery to reusable public infrastructure.
2-3x
Target improvement in hit rate and top-k enrichment over heuristic screening.
25-30%
Target reduction in search cost per promising candidate.
3-5
Climate-relevant crop-stress and formulation tasks in the benchmark suite.
Open
Software, datasets, AI models, model cards, publications, and responsible-use guidance.
Beneficiaries
Designed for dryland agriculture, extensible to global bioinput discovery.
Smallholder farmers in heat- and drought-prone Indian dryland systems
Crop scientists and public agricultural institutes
Microbial systems, formulation, and plant-microbe researchers
Mission-driven bioinput developers and extension-linked networks
36-month roadmap
Our roadmap to move from prototype to platform.
Benchmark foundation
Finalize India-first use cases, governance, biosafety, literature pipelines, knowledge graph, and baselines.
Integrated release
Build the first reasoning-plus-optimization system and release initial benchmark data.
Multi-task expansion
Extend to 3-5 crop systems, stress regimes, or delivery modes with partner feedback and model cards.
Platform hardening
Improve scalability, packaging, documentation, community workshops, and testable candidate shortlists.
Durable infrastructure
Publish final benchmarks, methods, tutorials, sustainability plan, and community governance model.