MaterialScience AI
We are like Perplexity + AlphaFold, but purpose-built for advanced materials and surface-treatment innovation. Looking for more people to join our team!
Introduction
We are like Perplexity + AlphaFold, but purpose-built for advanced materials and surface-treatment innovation. It’s a niche yet rapidly expanding $5–6 billion market.
After interviewing 50+ companies, we identified three major pain points, we have acquired 1 customer. We are actively looking for more MIT students to join our team!
1. Lack of accessible, industry-specific data — papers, patents, theoretical knowledge, and structured datasets
2. Long product development cycles — typically 6 months to 2 years
3. Security concerns — protecting proprietary R&D data
Our Solution
1. Unified Materials Intelligence Platform — integrates 200K+ both public and proprietary materials records and prototype datasets to enable structured, searchable, and interpretable data.
2. Agentic AI + Active Learning Engine — automates research, runs simulations, and recommends the top 50 most promising formulations from millions of possibilities, cutting development time drastically. It can do the research, run simulation, and do evaluation of the output 24/7 all by itself.
3. Quantum-Grade Security Layer — ensures enterprise-level data protection and confidentiality across all research workflows.
We have dedicated labs and research teams that test and verify our AI-generated formulations under real-world conditions.
Problem
After interviewing 50+ companies, we identified three major pain points:
1. Lack of accessible, industry-specific data — papers, patents, theoretical knowledge, and structured datasets
2. Long product development cycles — typically 6 months to 2 years
3. Security concerns — protecting proprietary R&D data
Opportunity
Our Solution
1. Unified Materials Intelligence Platform — integrates 200K+ both public and proprietary materials records and prototype datasets to enable structured, searchable, and interpretable data.
2. Agentic AI + Active Learning Engine — automates research, runs simulations, and recommends the top 50 most promising formulations from millions of possibilities, cutting development time drastically. It can do the research, run simulation, and do evaluation of the output 24/7 all by itself.
3. Quantum-Grade Security Layer — ensures enterprise-level data protection and confidentiality across all research workflows.
We have dedicated labs and research teams that test and verify our AI-generated formulations under real-world conditions.