XaiPient

I co-founded XaiPient with Somesh Jha (https://www.linkedin.com/in/somesh-jha-80208015/) to help unlock value from event-sequence data, with cutting-edge Trustworthy AI techniques developed from our research. Vast troves of sequential event data are generated from marketing interactions, financial transactions industrial processes, business operations, and many other scenarios. There is an unprecedented opportunity to leverage this data with intelligent predictive algorithms: accurate, trustworthy predictions from these event-sequences promise to deliver improved outcomes and billions of dollars in profits. Yet this opportunity remains un-exploited due to the difficult nature of event-sequence data, which are ignored by most open-source and SAAS solutions (which focus mainly on models for time-series, tabular, text or image data). XaiPient is uniquely poised to exploit this opportunity: the co-founders Prasad Chalasani and Somesh Jha bring world-class credentials to this problem: Both are IIT/CS graduates, and CMU/CS PhDs (Prasad's PhD was in Machine Learning); Somesh has been publishing actively on Trustworthy AI at top ML venues, while Prasad has over two decades leading Quant and ML teams in finance (Goldman Sachs, Hedge Funds) and technology (head of Data Science at Yahoo Labs and most recently Chief Scientist at MediaMath, an ad-tech unicorn). A core component of our explainable event-sequence prediction model was published at a top ML conference (ICML 2020). XaiPient’s first product addresses the needs of B2B marketers -- the first-ever Customer Intelligence Engine that works with customer event sequences from any marketing platform. The engine learns from thousands of customer journeys, and recommends best marketing actions and accurately predicts prospects likely to convert, helping marketers prioritize leads, and boost ROI and conversions.