Scale AI’s former CTO launches AI agent that could solve big data’s biggest problem

Isotopen AI Come out of Stealth with a healthy seed round of $ 20 million on Thursday.

It offers an AI agent to solve a problem with which data analysis products have been struggling for decades: the people who know how to perform the Big Data infrastructure are not those who actually have to use the data.

With LLMS, company managers can ask questions about their data in the natural language. The agent of isotopes, AIDNN, can provide answers and prepare complex planning documents, collect data from where it is stored, such as Finance Apps, ERP, CRM and Cloud storage.

There are countless offers from Agentic Business Analytics that are available, but the co-founders of Isotopes have a unique pedigree. Their product is so advanced, the startup has already applied for 10 patents, co-founder CEO Arun Murthy told WAN.

Just over 20 years ago, when Murthy was in the midst of twenty, he worked at Yahoo in the team that built an open source project called Hadoop. Hadoop led to the initial Big Data Frenzy of the years 2010.

In 2011, Yahoo played it in a company called Hortonworks, with Murthy as co-founder and main product officer. Hortonworks became public only four years after the launch. But the rise of new Cloud Storage Tech took its toll on the Market of Hadoop and Hortonworks eventually merged with his greatest rival, Cloudera. The merged company was taken private in 2021 after the famous activist investor Carl Icahn became involved.

Murthy went to Cloudera for a few years during that unrest and led around 200 people. Yet he says, even there he saw the age -old problem with the data access. He remembers quarterly conference interviews with Wall Street analysts who grill execs about operational details.

They could not always answer because they did not have access to the data. “It was embarrassing,” he admits now. “We were a big data company that sold this.”

In 2021 he left that job without a real plan about what he had to do then, and a VC informed him of AI’s Alexandr Wang. After a few chats with cheek and a little advisory work, Murthy came to the scale as Chief Technology Officer.

It was as if he is ‘promoted to a scale’, he describes. “Insight into what drives these models and how to improve them.”

But when his old Buddy from Hortonworks, Prasanth Jayacandran, called him, the two decided to do their own AI startup. They convinced their Third Fighter, Gopal Vijayaraghavan, also from the Hortonworks days, to join them and wasotopes founded at the end of 2024. Their seed round was led by VAB Goel at NTTVC. (Goel was earlier at Norwest Ventures.)

The backgrounds of the founders have enabled them to build an agent who can find data from where it is stored (whether it is Salesforce or Snowflake), but then also clean the data. The agent also retains a lot of context memory to be useful for complex tasks.

“This goes much further than a simple chatbot,” said Murthy. For example, if the team asks AIDNN to prepare a report on monthly recurring entry trends, “there are the data with which you want to chat actually do not, at least the form with which you should talk. It is a multistap plan, a very complex plan: extract metadata, read the data, clean and normal, the data, the income, aggregate.”

The agent also shows his steps, reasoning, assumptions and points to deviations in the data. It will even make recommendations about how to proceed. Isotopen also promises that customers can implement business license without sharing one of their data with the AI ​​model makers who feed the agent.

Still, as sophisticated as being canotopes can be, the startup is confronted with a lot of competition. Established operators such as Salesforce’s tableau Already offer agents (in the midst of Salesforce’s most important AI agent -push), and many other startup founders with impressive family trees are also on the market, such as Wisdomai.