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

Scale AI’s former CTO, along with co-founders from Hortonworks, launched Isotopes, an AI agent designed to tackle big data’s most complex challenge: locating, cleaning, and contextualizing disparate data sources such as Salesforce and Snowflake for advanced multi-step tasks like aggregating monthly recurring revenue trends[4]. This agent goes beyond simple chatbots by maintaining rich context memory and executing complex workflows including metadata extraction, cleaning, normalization, joining, and proration, enabling enterprise teams to interact fluidly with data that otherwise “doesn't exist” in the needed format[4]. With a seed round led by NTTVC, Isotopes aims to meet increasing demand for AI that integrates seamlessly across big data environments, reflecting the broader

Scale AI's former CTO, after gaining deep expertise at Scale AI, co-founded an AI startup called Isotopes in late 2024 that launched an advanced AI agent designed to solve big data challenges by locating, cleaning, and contextualizing data across platforms like Salesforce and Snowflake. Their agent goes beyond simple chatbots by executing complex multistep data workflows such as metadata extraction, normalization, and revenue aggregation, addressing the difficulty of querying data that often doesn't exist in a usable form. This startup secured a seed round led by NTTVC's Vab Goel, indicating strong investor confidence in the technology's potential to transform big data management[2].

Scale AI’s former CTO, Murthy, has launched a new AI agent startup called Isotopes, founded in late 2024 with co-founders from Hortonworks, backed by a seed round led by NTTVC. Their agent is designed to solve big data’s biggest challenges by locating data across platforms like Salesforce or Snowflake and cleaning it while maintaining context memory for complex, multistep tasks such as aggregating monthly recurring revenue trends. Murthy emphasized, "This is far beyond a simple chatbot," underscoring the agent's sophisticated capabilities to manage data extraction, normalization, and aggregation in one seamless flow[3].

Scale AI’s former CTO has launched a groundbreaking AI agent designed to tackle big data’s most challenging problem: massive data ingestion and real-time decision-making. The new agent aims to process terabytes of data from diverse sources—such as battlefield, satellite, and partner networks—transforming it into actionable insights faster than current systems allow. This innovation arrives amid broader industry trends where AI agents are increasingly becoming mission-critical tools across enterprises, signaling a shift toward data-centric AI scaling and collaborative multi-agent ecosystems[2][3].

Scale AI’s former CTO Arun Murthy has launched Isotopes, an advanced AI analytics agent designed to address big data’s critical challenge of processing and extracting actionable insights from massive data volumes. Industry experts highlight that Isotopes leverages sophisticated AI to transform terabytes of raw data into real-time, decision-ready intelligence, potentially revolutionizing data handling in sectors overwhelmed by data influx. Analysts emphasize that Murthy’s deep expertise, including his role as a Hadoop co-creator, lends significant credibility to Isotopes’ potential impact on solving big data bottlenecks at scale[5].

Scale AI’s former CTO has launched an advanced AI agent designed to solve big data’s most pressing challenge by seamlessly locating, cleaning, and contextualizing data across diverse platforms like Salesforce and Snowflake, enabling complex multi-step data analysis tasks[4]. This innovation has rapidly gained international attention, with the startup’s seed round led by NTTVC signifying strong global investor confidence. Industry experts highlight that AI agents—including this new development—are becoming mission-critical worldwide, with over $6.7 billion invested in AI agent platforms in 2025 alone, reflecting broad adoption across enterprise functions from customer support to healthcare and software development[5].

Scale AI’s former CTO Arun Murthy has launched a new AI agent through his startup Isotopes, aiming to address the biggest challenges of big data analytics. Murthy, a key creator of Hadoop, introduced this sophisticated analytics agent designed to efficiently process and derive actionable insights from massive data volumes, a problem that has long stymied industries managing terabytes of information daily[4]. This development represents a significant leap forward in big data scalability and real-time decision-making.

Scale AI’s former CTO, Arun Murthy, recently launched Isotopes, an AI agent aimed at solving big data challenges, focusing on sophisticated analytics[4]. While there are no direct mentions of regulatory or government responses specifically to Isotopes yet, the broader AI sector—including Scale AI—continues to engage with U.S. government agencies, particularly as AI agents become critical tools in military, financial, and data-intensive sectors[1][2]. Alexandr Wang, Scale AI’s CEO, highlighted ongoing geopolitical and regulatory tensions as the U.S. and China compete for AI dominance, implying increasing government scrutiny and potential regulation as AI agents become integral to national security and commercial data processing[1][2].

Scale AI’s former CTO Murthy has launched Isotopes, an AI agent startup backed by a seed round led by NTTVC, aiming to solve big data’s toughest challenge: locating, cleaning, and contextualizing scattered data across platforms like Salesforce and Snowflake[4]. This new AI agent goes beyond chatbot capabilities by executing complex multistep data workflows, potentially disrupting the competitive landscape dominated by traditional data management and AI service providers[4]. Industry experts expect such agents to accelerate efficiency and better decision-making in sectors facing data overload, intensifying competition among AI startups and established players in big data and AI[5].

Scale AI’s former CTO, Murthy, has launched an advanced AI agent with Isotopes designed to tackle big data’s biggest challenge: integrating, cleaning, and contextualizing distributed data from multiple sources like Salesforce and Snowflake. Unlike simple chatbots, this agent can execute complex multi-step workflows—extracting metadata, normalizing, joining datasets, prorating revenue, and aggregating insights—to deliver actionable analysis, addressing enterprises’ need to process terabytes of data for real-time decision-making. This breakthrough supports mission-critical deployments and has strong implications for scaling AI’s practical impact beyond proof-of-concept stages[4].

Scale AI’s former CTO Arun Murthy has launched Isotopes, an advanced AI agent aimed at tackling big data’s biggest challenge—processing and analyzing massive data volumes efficiently. This move intensifies competition in the AI analytics landscape, where Murthy, also a Hadoop co-creator, brings deep expertise to directly challenge incumbents like Scale AI by offering sophisticated, scalable data solutions[5]. Isotopes' entrance is expected to accelerate innovation and pressure other players to enhance their AI agent capabilities to manage terabytes of data in real-time decision-making contexts.

Scale AI’s former CTO has launched a new AI agent designed to address major big data challenges, intensifying competition in the AI agent platform market now valued at $6.7 billion in 2025, representing 10% of all AI funding[4]. This move comes as industry leaders like Anthropic’s Claude dominate code-generation with a 42% market share, and enterprise clients are pushing for scaling AI agents beyond proof-of-concept into mission-critical deployments[4]. Anand Nimkar from Deloitte notes enterprises are integrating AI spend into core IT budgets, signaling a competitive shift where AI agents become central digital coworkers across functions[4].

Scale AI’s former CTO, Arun Murthy, has launched Isotopes, an advanced AI analytics agent designed to tackle big data’s scalability challenges, potentially disrupting the current competitive landscape dominated by legacy data processing tools and AI model providers[4]. Murthy, known as one of Hadoop's creators, aims to leverage AI to process massive data volumes more efficiently, threatening incumbents reliant on traditional pipelines. This move intensifies competition as companies race to solve big data bottlenecks using AI-driven agents, especially amid growing demands for faster, more actionable insights[4].

Scale AI’s former CTO has launched an AI agent designed to tackle big data’s biggest challenge by locating, cleaning, and contextualizing data from diverse sources like Salesforce and Snowflake, enabling complex multi-step tasks beyond simple chatbot functions[4]. This innovation arrives amid a rapidly evolving AI agent market, which saw $6.7 billion in funding in 2025, representing 10% of all AI investment, with enterprises rapidly moving from proof-of-concept to mission-critical use cases in areas like customer support and healthcare[5]. Such advancements intensify competition as platforms adopt usage-based pricing and tiered SaaS models, pushing AI agents toward becoming essential digital coworkers across industries[5].