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Isotopes AI Launches With $20M Seed to Reinvent Business Data Access

Isotopes AI has launched out of stealth with a $20 million seed round to take on one of the biggest problems in enterprise technology: making business data easy to use. The company’s new AI agent, Aidnn, is designed to give managers direct access to the insights they need, without relying on engineers or data specialists.

Aidnn connects to multiple systems — including Salesforce, Snowflake, finance apps, ERP, CRM, and cloud storage — and goes beyond simple chatbots. It not only finds data but also cleans, normalizes, and organizes it for complex tasks. For example, if asked to create a monthly recurring revenue report, Aidnn can gather raw data, extract metadata, join datasets, prorate revenue, and generate totals. It also shows its reasoning, highlights anomalies, and suggests next steps. Importantly, Isotopes says customers can use Aidnn without sharing sensitive data with external AI providers.

The founding team brings serious experience. CEO Arun Murthy co-created Hadoop at Yahoo in the early 2000s, helping spark the big data movement. He later co-founded Hortonworks, took it public, and guided it through its merger with Cloudera before the combined company was taken private in 2021. Murthy also served as CTO at Scale AI, where he deepened his expertise in large language models. He founded Isotopes in late 2024 with Hortonworks veterans Prasanth Jayachandran and Gopal Vijayaraghavan. Their seed round was led by Vab Goel at NTTVC.

Murthy says Isotopes has already filed 10 patents to protect its technology, signaling ambitions to stand out in the crowded AI data market. The company faces tough competition from established players like Salesforce’s Tableau, which is part of Salesforce’s billion-agent AI strategy, as well as fast-moving startups like WisdomAI.

With its strong pedigree and focus on making data access seamless, Isotopes AI is betting that Aidnn can finally solve the decades-old challenge of helping business leaders get answers straight from their data.

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