ByteGenie Private Limited

ByteGenie's vision is to build an AI that can reason from first principles following exact logic, without any hallucinations. In pursuit of this vision, ByteGenie has developed a novel symbolic AI architecture that learns symbolic, human understandable, relationships directly from the raw data, in a self-supervised manner, without the need for training samples. For example, given data about customer bookings, marketing campaigns, and customer rewards, it can infer underlying rules for calculating customer rewards for a given booking based on ongoing marketing campaigns. It can show the learned relationships in a human-interpretable mathematical form, that users can read, verify, and edit if needed. The symbolic nature of the relationships eliminates the risk of hallucinations, and guarantees adherence to relevant business rules and logic. Our use-cases range from - Building ETL pipelines that synthesise various enterprise data sources to build custom dashboard for specific decision-making, and business intelligence; - Automating complex business calculations related to financial reconciliation, customer rewards calculations, fee calculations for channel booking partners, benchmarking prices for procurement; - Finding matching products and suitable suppliers for products of interest, and benchmarking prices with internal purchase prices; - Finding qualified leads for social media, events, industry associations, etc.