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Most business data doesn't match. Reports conflict. Numbers reconcile differently across systems. Decisions get made without confidence, or don't get made at all, while teams chase discrepancies instead of acting on them. We built Isotopes AI to fix that. aidnn is the verified analytics layer that turns inconsistent data into trusted, decision-ready answers, with a team of specialized AI agents that plan, execute, and verify every step.
Turn messy data into verified, decision-ready answers, with the audit trail to prove how every number was reached.
Every business decision should be grounded in data the team can actually trust. Not conflicting reports. Not manual reconciliation. Not a single AI model's best guess. By connecting systems, resolving discrepancies at the source, and verifying every output before it reaches a person, we make data usable in the form decisions require. The result is faster, more confident decisions across the business, and the receipts to back them up.
"The data you want to chat with doesn't actually exist, at least not in the form you need. Creating that data is the work. That's why ‘Is it verified?' is the question every enterprise needs to be asking."
- Arun Murthy, Founder & CEO, Isotopes AI | aidnn
The team behind Isotopes AI | aidnn has spent decades building the data systems modern enterprises run on. From founding Hortonworks, a cornerstone of modern data infrastructure used by enterprises worldwide, to leading data and AI initiatives at Snowflake, Apple, and Scale AI, they've defined how businesses work with data at scale.
Now they're building Isotopes AI to fix what those systems never solved: turning inconsistent data into verified, decision-ready answers. This is a team that has worked together for years on complex data problems across industries, with a track record of understanding why business data breaks and how to fix it at the source.
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