Company Performance Metrics
Forlais conducts artificial intelligence research focused on deep technical advances in machine intelligence. The company studies core architectural issues in neural networks, long-horizon systems, model optimization, and verified lossless AI model compression with SHA-256 integrity protocols. It develops EvaEsi, a commercial platform that
translates research outputs into applied AI systems for enterprise and public environments. The EvaEsi platform is designed as a pure integer system to support optimized computational performance. Forlais also builds and maintains software tools for lossless compression of AI models. In addition, it runs Project Zi, a dedicated research framework for investigating advanced consciousness-related structures within artificial intelligence. Its work sits at the intersection of mathematical theory, software architecture, and applied deep learning engineering.