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 2025. The company is led by Ajaz Khan. Based in Mumbai, India. Team size: 11-50. Total funding raised: $500,000. Latest round: Pre-Seed. Key investors include Theia Ventures, Sandesh Paturi, Niharika Jain.
- Founded
- 2025
- Headquarters
- Mumbai, India
- Team size
- 11-50
- 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
NovyteQ (AI-powered R&D platform for specialty chemicals and advanced materials), Novyte ψ / Psi (quantum chemistry and inverse design engine), Physics-Informed / chemistry-aware AI Discovery Engine, Generative Material Design & reverse-engineering, Integrated wet-lab validation and synthesis pathways
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), Chemvera Specialty Chemicals (manufacturing & royalty partnership for AI-designed polymer specialty chemical, announced Jun 2026)
Notable customers
Chemvera Specialty Chemicals (manufacturing & royalty partner), Manipal Specialty Chemicals, Primacy Industries
Major milestones
Incubated at ICT-NICE (Institute of Chemical Technology, Mumbai), Raised INR 4.15 Cr Pre-Seed round led by Theia Ventures in December 2025, Developed proprietary physics-informed AI platform for materials discovery, Manufacturing & royalty partnership with Chemvera Specialty Chemicals (Jun 2026) for AI-designed polymer specialty chemical, Named commercial engagements with Manipal Specialty Chemicals and Primacy Industries
Growth metrics
Post Pre-Seed (Dec 2025): advanced platform (NovyteQ) and commercial footprint; first manufacturing-royalty deal with Chemvera (Jun 2026); early AI models reported 39 new materials / 24 stable (68% hit rate); ~11 employees as of mid-2026.
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.
Latest news about Novyte Materials
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Official website: https://novyte.ai/