PORTFOLIO
PORTFOLIO COMPANIES
Obviously AI, Inc.
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- Co-founder & CEO：
- Nirman Dave
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- Co-founder & CTO：
- Tapojit Debnath
COMPANY PROFILE
Full-stack no-code AI Platform with a vision to democratize Data Science and LLM (Large Language Models) implementation
Over 73% of enterprise data is not analyzed as non-technical business professionals lack knowledge of data science and machine learning. Such business professionals face issues related to productivity and time in coordinating with internal and external data scientists, resulting in frequent challenges of missed deadlines and poor business output. Enter Obviously AI, a No-Code (drag and drop) data science platform that enables users to build Machine Learning algorithms and predict outcomes, with just a few clicks.
COMPANY STORY
Origin
Co-founders Nirman Dave and Tapojit Debnath were classmates at Hampshire College in Boston where they obtained their Bachelor's degrees in Computer Science. CEO Nirman comes with entrepreneurial experience, having sold his previous startup to Intel. CTO Tapojit was formerly an AI/ML researcher at MIT.
Strength
Obviously AI's Edge-sharp AutoML & Bayesian Hyperparameter Optimization offers an ensemble of over 100 AI Models and a superior training time which is 75-100x faster than other AutoML Platforms. In addition, the company has developed proprietary tools such as Paintbrush (Parellel computing), Data Maker (Data Preparation) and X-ray (LLM deployment). Today, Obviously AI serves over 50 happy customers across the globe, establishing the company as a leading no-code Generative AI platform for SMB/mid-market.
UTEC’s value add
Support for Obviously AI’s expansion into Japan/APAC by facilitating client and Go-to-market partnerships. Additionally, UTEC also offers hands-on support to the company in fundraising, recruiting, product strategy and GTM (Go-to-market) strategy.
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Obviously AI co-founders Nirman and Tapojit – Immigrants from India and Bangladesh living in the US
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Prediction report built from uploaded data using AutoML technology
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Visualization of model performance with Explainable AI
