Fermatix
Zero-Hallucination AI Research Tools for Scientists
Built AI-powered research assistant for scientific teams with strict accuracy requirements. Scientists taught us that enterprise AI needs precise citations, uncertainty acknowledgment, and domain-specific communication. These principles shaped NexusOS's RAG architecture and response reliability systems.
Challenge
Fermatix needed AI-powered research tools for scientific teams with zero tolerance for hallucinations or inaccurate information. Scientists required precise citations, uncertainty acknowledgment, and communication that matched their domain expertise—standards incompatible with typical AI chatbots.
Solution
Built custom AI research assistant with advanced RAG (Retrieval-Augmented Generation) architecture designed for scientific accuracy. Implemented citation tracking, confidence scoring, and domain-specific communication patterns that scientists trusted and understood.
Implementation
Integrated with Fermatix's research databases and knowledge repositories. Developed techniques to prevent hallucinations through strict source attribution and uncertainty quantification. Created interface allowing scientists to verify every AI response against source materials.
Optimization
This project advanced our RAG architecture and taught us that different industries have fundamentally different standards for AI credibility. These learnings became core to how NexusOS handles domain-specific requirements.
