Scale AI ex-CTO launches game-changing big data AI agent
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Scale AI ex-CTO launches game-changing big data AI agent

Arun Murthy, former CTO of Scale AI and Hadoop co-creator, unveiled Isotopes’ Aidnn AI agent, targeting the long-standing problem of business data accessibility.

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By Jace Reed

3 min read

Prasanth Jayachandra alongside Arun Murthy (center) and Gopal Vijayaraghavan. Image Credit: Isotope
Prasanth Jayachandra alongside Arun Murthy (center) and Gopal Vijayaraghavan. Image Credit: Isotope

An era-defining shift in big data analytics arrived as Arun Murthy, former CTO of Scale AI and co-creator of Hadoop, launched Isotopes, the company behind Aidnn, a new AI agent.

The product promises to give business managers natural language access to sprawling enterprise data, addressing a bottleneck that has plagued organizations for decades.

Aidnn steps into a crowded field where data scientists and managers often find themselves at odds over accessibility.

The agent’s design reflects Murthy’s profound experience with infrastructure and modern AI, setting the stage for a possible change in how businesses interact with their information.

Why did Arun Murthy turn to AI agents for big data?

Murthy recognized a persistent data access gap when he managed teams at Yahoo, Hortonworks, and Scale AI. Despite advanced infrastructure, he repeatedly saw business users struggle to get timely insights. The need to democratize data drove him to create a modern solution.

With Isotopes, Murthy refocused on bridging technical divides. Employing AI agents with memory and reasoning capabilities, he targeted complex enterprise needs where legacy systems fell short of practical usability for non-technical staff.

Did you know?
Arun Murthy was a driving force behind Apache Hadoop, an open-source project running on over half of global Fortune 500 companies’ data platforms.

How does Aidnn streamline business data accessibility?

Aidnn leverages large language models to allow managers to ask questions in everyday language, bypassing technical barriers. It connects with multiple apps and storage services, gathering, cleaning, and synthesizing information for use in planning and reporting.

Security and flexibility are at the heart of Aidnn’s offering. Enterprise customers retain control over their data while the agent runs sophisticated analytics without exposing sensitive material to external AI model vendors.

What makes Isotopes’ product stand out in analytics?

Unlike basic chatbots, Aidnn performs multi-step planning, reasoning, and anomaly detection. It generates complex business documents and reports, displaying the steps taken and assumptions used throughout the process, giving transparency and actionable recommendations to enterprise users.

The founders claimed ten patent applications, reflecting innovation in context memory and data governance that puts Aidnn ahead of many emerging analytics products vying for enterprise attention.

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Who are the minds behind the new AI venture?

Arun Murthy partnered with Prasanth Jayachandra and Gopal Vijayaraghavan, both veterans from the Hadoop and Hortonworks era. Their combined experience spans high-profile enterprise tech launches, including Hortonworks’ IPO and its eventual merger with Cloudera.

Lead investor Vab Goel at NTTVC brought together funding and guidance, joining forces with a team whose pedigree underpins a commitment to solving big data’s usability pain points for business managers and analysts.

Can Aidnn challenge entrenched analytics platforms?

Isotopes enters a competitive landscape dominated by Salesforce, Tableau, and upstart WisdomAI. Aidnn has the potential to change business analytics by offering more flexibility, better data privacy, and useful AI-driven workflows, as long as it can overcome challenges to being widely used in companies and demonstrate its effectiveness on a large scale

The industry now watches as Murthy’s new agent aims to redefine how business users interact with data. If successful, Aidnn may accelerate workflow improvements for enterprises worldwide as the long-standing gulf between data infrastructure and business access narrows.

Do AI agents like Aidnn finally solve big data’s biggest access issues?

Total votes: 2542

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