Where ChatGPT is composing information, Rashi is analyzing information.

Deep Learning Neural Networks have exploded in breadth and depth, with apps emerging every week in this "generative AI" trend. Yet, we argue that these sequencer models excel at generating natural language but are poor choices as tools for contextual analytic insights.

Their analytic limitations will always make them best used as personal information assistants. Large Language Models like GPT-4 have a fundamental limitation in the way they compose outputs—they are optimized for fluency and coherence, not for rigorous, source-grounded analysis.

Rashi takes a different approach. Our algorithms are designed from the ground up for analytic insight: reducing research time and costs while improving accuracy and speed. By reducing human bias and generating a holistic view from various sources, our software helps analysts discover more insights and patterns to improve the quality of their analysis and make higher quality, data-driven decisions.

Powered by advanced Natural Language Processing algorithms, Rashi deciphers the language of data, identifying patterns, trends, and associations, and generating insights that matter for your business.