Isotopes AI has emerged with a $20 million seed funding, introducing an AI agent designed to tackle a longstanding issue in data analytics: the disconnect between those who manage big data infrastructure and those who actually need to use the data. By leveraging large language models, business managers can query their data in natural language. The AI agent, Aidnn, is capable of providing answers, drafting complex planning documents, and gathering data from various sources like finance applications, ERP, CRM, and cloud storage. The startup, founded by Arun Murthy and his former colleagues from Hortonworks, aims to revolutionize data access and usability. Murthy’s experience at Yahoo and Cloudera highlighted the persistent challenges of data accessibility, which he now seeks to address with Isotopes. The AI agent not only retrieves and cleans data but also maintains context, making it suitable for complex tasks. It provides transparency in its processes and offers recommendations, all while ensuring enterprise customers’ data privacy. Despite its sophistication, Isotopes faces competition from established companies like Salesforce’s Tableau and other innovative startups.
Can a former Scale AI CTO’s new AI agent solve big data’s biggest challenge?
