Multi-Physics MoE
The Foundation Brain
Trained on Google TPUs and NVIDIA H100s, it models thermodynamics, flow, and mass conservation together.
Scale-ready physical products
The world model for physical manufacturing.
We turn lab-scale chemical, biological, and materials discoveries into scale-ready production systems.
Built in India. Scaled for the world.
Backed by IndiaAI, NVIDIA, and Google.
1L Lab Beaker
Reality Crash
10,000L Factory
The Problem
The scale-up crash
Chemistry doesn't fail. Physics fails at scale.
AI and labs discover molecules fast. Scaling them from 1L to 10,000L still takes years, pilot plants, scrap, and iteration.
Fluid dynamics, shear stress, and thermal dead-zones appear at production scale. Legacy simulation cannot bridge that gap.
Physics-constrained inverse design
From target to factory geometry.
Set the target: yield, purity, throughput. Shodh AI works backward into printable geometry and operating conditions that can hit it.
01 Intent
Target yield, purity, throughput
02 Physics
Differentiable thermodynamics + flow
03 Reality
CAD geometry + operating recipe
Factory-specific reality model
The 4D Digital Twin
Your sensor logs teach the model the friction, wear, and thermal drift of your actual line, not an ideal factory.
MIMIC
The Inverse CAD Generator
Give it yield, purity, and throughput targets. It works backward into machine geometry and operating parameters.
Industries & Traction
One physics engine. Many industrial frontiers.
Specialty Chemicals & CDMOs
Application: Batch-to-continuous flow, yield purity, and reactor dead-zone removal.
Impact: Solves purity bottlenecks while reducing physical qualification costs.
Energy & Advanced Materials
Application: High-silicon anodes, thick-gel wetting, and semi-solid battery scale-up.
Impact: Cuts pilot iterations for next-generation gigafactories.
Heavy Industry & Aerospace
Application: Thermal management, immersion cooling, and extreme-environment flow geometry.
Impact: Generates manufacturable parts that improve heat transfer and reduce pressure drop.
100% IP Ownership
Enterprise Security
Zero-trust for classified IP.
Your chemistry and telemetry stay inside your walls.
Universal physics stays separate from trade secrets. Deployment can be air-gapped and on-premise.
You retain full ownership of generated CAD, compositions, outputs, and patents.
Research
Intelligence at the edge of physics
Currently Available
Whitepaper: Bridging the Scale-Up Chasm
How differentiable physics can replace trial-and-error scale-up.
Coming Q4
Shodh AI V3.0 Architecture Report
Our next model bridges quantum, atomistic, and continuum physics in one differentiable engine.
Build with us
Ready to scale your next breakthrough?
Stop guessing. Start generating.
Generated factory geometry
Air-gapped deployment
Physics-first yield targets