Beyond standard retrosynthesis. It uses first-principles thermodynamics to invent novel, cheaper catalytic routes that bypass existing patents and optimize lab yields.
Shodh SYNTH / The Process
Shodh SYNTH
Process Intelligence01
HomeA Universal Foundation Model bridging Molecular Discovery and Industrial Scale-Up
Micro to Macro
One continuous mathematical space for physical reasoning.
UNIPHY
A 10-billion parameter foundation model that computes physics in a single latent space.
Micro / Quantum
Electron bonding and molecular affinities.
Meso / Fluids
Viscosity and non-Newtonian rheology.
Macro / Factory
Impeller shear, mixing time, and thermal dynamics in 10,000L vats.
The same model designs the molecule and the factory process simultaneously.
Physical Manufacturing
What cloud computing did for software, UNIPHY does for factories.
Virtualizing Innovation
Transitioning physical Design of Experiments (DoE) entirely in silico. We simulate 10,000 failures computationally so the wet-lab only tests the guaranteed winners.
The Engine for Autonomous Factories
Shodh AI is not just a chatbot. It is the core "Physics Brain" that future AI agents will use to autonomously monitor, control, and optimize chemical and biological factories worldwide.
The Goal
Moving India from a hub of contract execution to the global epicenter of high-value scientific IP and process intelligence.
Current Sectors & Commercial Traction
Emergent properties proven across overlapping industries.
Pilot partners
National Resilience, Axella Biotech, A123, Aarti Industries, Jubilant Ingrevia, and Biosys.
Target Verticals
Specialty Chemicals, Pharmaceuticals, Petrochemicals, and Battery Materials — all governed by the same underlying fluid and thermodynamic laws.
Commercial Proof
We have already executed computational pilots with industry leaders like National Resilience (US), Axella Biotech (US), A123 (US), Aarti Industries (Chem), Jubilant Ingrevia, and Biosys (Chem and Bio CRO).
The Output
For these partners, the model successfully synthesized novel molecular routes and predicted complex scale-up physics, validating our Sim-to-Real translation.
Factory Intelligence02
The ultimate Bioreactor Digital Twin. Ingests bench-scale chemistry to predict thermal runaways and non-Newtonian fluid behaviors in massive Continuous Stirred-Tank Reactors (CSTRs).
Shodh SCALE / The Factory
Shodh SCALE
Platform Validation
Small Molecule Case Study
To stress-test our core physics engine, we successfully executed a fully autonomous Hit-to-Lead pipeline.
Zero-Shot Target Discovery
We fed the model complex oncology targets (e.g., p53, KRAS). Instead of relying on historical templates, it utilized first-principles thermodynamics to natively generate highly potent, structurally novel hits.
Multi-Parametric Optimization (MPO)
The model autonomously mutated scaffolds to avoid "Molecular Obesity." It successfully balanced sub-nanomolar binding affinity with strict clinical ADMET safety proxies: Caco-2 permeability, CYP450 clearance, and hERG safety gaps.
The Output (Ready for Wet-Lab)
The system generated a computationally de-risked, 18,000-molecule proprietary IP catalog. The top candidates include complete, commercial retrosynthesis routes and are currently staged for physical SPR validation.
Advanced Modalities
Advanced Modalities: Large Molecules & Biomanufacturing
Biomanufacturing
Optimize oxygen transfer without destroying biological yield.
Lipid Nanoparticles (LNPs)
We model the thermodynamic self-assembly and phys-chem stability of LNPs for mRNA and biologic delivery.
Peptides & PROTACs
Designing highly flexible, "chameleonic" structures that break Lipinski's rules but maintain cell permeability.
The Scale-Up of Living Cells
Shodh SCALE directly addresses the Biomanufacturing bottleneck. We simulate the exact fluid shear-stress generated by impeller blades against the rupture limits of living mammalian cells—optimizing oxygen transfer without destroying the biological yield.