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
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Rashi is a generative insights engine. Bespoke, contextual intelligence to your corpus of data, whatever you’re researching. In this increasingly complex world, our innovative algorithms reduce 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 and higher velocity, data-driven decisions.
Powered by advanced Natural Language Processing algorithms, Rashi deciphers the language of data, identifying patterns, trends, and associations, and generating insights.
Venture Capitalist
Insights into quarterly fund performance of the top 30 Venture Capital funds
Supply Chain
Impact of Bank of England policies on British food and commodity prices
Medicine
State of Generative AI’s impact in healthcare and life-sciences
Media
Impact of App Tracking Transparency policies on social media advertising
Supply Chain
The impacts of climate change on global supply chain
Communications
Understanding acquisitions & transaction trends in networking technology
Large Language Models like GPT-4 have a fundamental limitation in the way they compose outputs.
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.
Read more about how Rashi’s AI is solving these problems, and building more profound insights for leaders in our blog
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
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