Unlocking the future with revolutionary materials.

Madhumitha Ravichandran and Vinay Ramesh wanted to revolutionize material discovery by building a platform that accelerates the path from concept to market.

N-ERGY’s mission is to empower the future through groundbreaking materials that drive industries forward. Their Computational Intelligence for Physicals Enhanced Materials (CIPEM-1) solution uses advanced AI to narrow down billions of material combinations, delivering precise, custom recommendations to meet even the most demanding requirements.

As industries push the boundaries of what materials can achieve, the need for rapid, precise material discovery has never been more urgent. N-ERGY’s CIPEM-1 platform is built to meet this challenge, leveraging advanced computational intelligence to streamline the material selection process. By synthesizing data from billions of material combinations and applying physics-based simulations, CIPEM-1 provides engineers with highly accurate, custom recommendations tailored to specific needs.

The CIPEM-1 platform eliminates much of the guesswork and extensive experimentation traditionally required in material discovery, empowering engineers to bring products to market faster and with greater confidence. Designed to meet the highest industry standards, CIPEM-1 also offers unparalleled durability across extreme environments—from radiation resistance to high-temperature applications—ensuring materials perform reliably under the most demanding conditions.

By narrowing down options to the optimal candidates, N-ERGY enables companies to achieve breakthroughs in less time, reducing both R&D costs and time-to-market. CIPEM-1 is paving the way for industries to innovate efficiently, ensuring that the right material is always within reach.

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COMPANY PROFILE:N-ERGY

Revolutionizing Material Discovery and Innovation.

N-ERGY leverages computational intelligence to streamline the discovery and design of materials that can endure the most extreme conditions. Their CIPEM-1 platform rapidly identifies optimal materials, enabling faster time-to-market and substantial cost savings.

FOUNDERS:
→ Madhumitha Ravichandran
→ Vinay Ramesh

LAST FUNDING STAGE:
Pre-Seed

VECTOR:
Machine to Machine Learning