Novyte Materials
Category: AI in Climate / Energy
A physics-informed AI platform designed to accelerate the discovery, design, and validation of advanced materials for industrial applications. Novyte Materials was founded in 2024. The company is led by Ajaz Khan. Based in Mumbai, India. Team size: 1-10. Total funding raised: $500,000. Latest round: Pre-Seed, ₹4.15 Cr (~$500K), 2025-01, led by Theia Ventures. Key investors include ["Theia Ventures","Sandesh Paturi","Niharika Jain"].
- Founded
- 2024
- Headquarters
- Mumbai, India
- Team size
- 1-10
- Total funding
- $500,000
Value proposition
Reduces material development timelines from years to weeks and costs by up to 90% by replacing traditional trial-and-error experimentation with predictive, physics-constrained AI simulations.
Products and solutions
["Physics-Informed AI Discovery Engine","Generative Material Design System","Reverse-Engineering & Simulation Module","Integrated Wet-Lab Validation Services"]
Unique value
Combines generative AI with 'physics-aware' machine learning to ensure that proposed material formulations are not only high-performing but also physically feasible to manufacture.
Target customer
R&D departments in specialty chemicals, battery and energy storage manufacturers, aerospace, defense, and advanced manufacturing firms.
Industries served
["Energy Storage & Batteries","Aerospace & Defense","Specialty Chemicals","Advanced Manufacturing","Composite Materials"]
Technology advantage
Utilizes Physics-Informed Neural Networks (PINNs) to overcome the 'small data' challenge in materials science, providing high accuracy even with limited experimental datasets compared to traditional black-box AI.
How they differentiate
Utilizes Physics-Informed Neural Networks (PINNs) to overcome the 'small data' challenge in materials science, allowing for high-accuracy predictions even with limited experimental datasets compared to traditional black-box AI.
Main competitors
["Citrine Informatics","Kebotix","Matmerize"]
Key partnerships
["Theia Ventures (Lead Investor)","ICT-NICE (Incubator at Institute of Chemical Technology, Mumbai)","IIT Bombay (Academic and research collaboration via co-founding advisor)"]
Notable customers
["Confidential (Targeting Aerospace and Battery manufacturers)"]
Major milestones
["Incubated at ICT-NICE (Institute of Chemical Technology, Mumbai)","Raised INR 4.15 Cr Pre-Seed round led by Theia Ventures in January 2025","Developed proprietary physics-informed AI platform for materials discovery"]
Growth metrics
Successfully transitioned from research phase at ICT Mumbai to institutional backing; currently in the product-market fit stage.
Market positioning
Early-stage deep-tech challenger focusing on the intersection of AI and chemical engineering.
Geographic focus
India (Primary), with a global focus on Aerospace, Energy Storage, and Specialty Chemical markets.
Patents and IP
Proprietary algorithms and trade secrets; no specific public patent filings disclosed as of January 2025.
About Ajaz Khan
Ajaz Khan is a chemical technologist and researcher from the Institute of Chemical Technology (ICT), Mumbai. He specializes in physics-informed AI for materials discovery, focusing on accelerating the R&D process for advanced manufacturing, energy storage, and specialty chemicals. Prior to founding Novyte, he was involved in deep-tech research at ICT Mumbai.
Official website: https://novyte.com/