How unstructured data is made useful through autonomous AI agents

 Kunal Bhatia and Vignesh Baskaran founded Hexo in 2022 with the idea of helping enterprises harness the power of unstructured data through autonomous AI agents. The company leverages AI to unlock valuable insights from previously untapped data sources.


Kunal, an alumnus of BITS Pilani, is a three-time AI entrepreneur, having built startups across edtech and IoT that leveraged AI. Vignesh, Hexo's CTO, brings over 12 years of AI and deep learning experience. He previously led the machine learning research team at case study platform Darts-IP, where his algorithm contributed to the firm's $61 million acquisition. Vignesh holds a Master's in AI from KU Leuven University in Belgium.


The inspiration for Hexo stemmed from the founders' first-hand experience with the time-consuming and labor-intensive process of data cleaning and processing across various AI projects. Recognizing the untapped potential of generative AI models, Kunal and Vignesh set out to develop a solution that could automate the extraction of deep data from unstructured sources, making it readily accessible and actionable for enterprises worldwide.


Kunal says approximately 80% of data accessible to organizations is unstructured, a vast ocean of information locked in formats like PDFs, audio files, videos, and web pages. "Traditionally, extracting insights from this unstructured data is a manual, labor-intensive ETL (extract-transform-load) process. This process is usually built and managed by expensive data engineers who write custom web scraping and parsing scripts. As a result, over 90% of a data team's time is consumed in building these data pipelines, taking the focus away from the real value creation tasks such as analytics."


Hexo's platform uses autonomous web browser agents, large language models, vision models, and audio transcription models to extract valuable structured data from unstructured and undefined sources. Given a task, Hexo's AI agent develops a plan, navigating websites and applications autonomously, just like a human would. It then extracts and transforms data from various sources, including websites, PDFs, Excel files, audio, and video, into structured formats. This approach significantly reduces the time and effort required for data preparation, allowing teams to concentrate on deriving insights and making data-driven decisions.


Hexo's platform is already being utilized by a diverse set of enterprises, including data vendors, financial asset managers, and BPOs, who rely on it to fetch and extract data from unconventional sources and convert it into actionable insights via API connectors. For investment analysts, Hexo's AI agent scours the internet to gather pertinent data from non-traditional sources. In the BPO sector, Hexo's AI agent autonomously navigates multiple applications and files, significantly reducing the reliance on manual data entry and decision-making tasks performed by BPO workers, ultimately enhancing efficiency and profitability.

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