definity Raises $12M in Series A Funding Led by GreatPoint Ventures

The company plans to use the funds to grow its operations and continue developing its products.

The platform provides real-time insights that power AI agents, helping teams reduce costs, prevent issues before they happen, and work faster.

At its core, Definity uses an in motion system that works directly within live production pipelines without needing code changes. It monitors pipelines as they run, capturing signals from infrastructure, execution and data in real time.

This unified real time context allows Definity to move beyond basic monitoring to true AI driven operations. With live insights and control, AI agents can automatically analyze, optimize, and take action in production rather than just provide suggestions after the fact.

Global companies use Definity to cut platform costs by over 30% through job-level optimization, prevent data and pipeline issues before they affect the business, and fix complex Spark problems up to 10 times faster.

The solution supports large lakehouse systems across cloud and on premises Spark environments, including Databricks, AWS EMR, GCP Dataproc and Spark on Kubernetes. By adding intelligence directly into pipeline execution, Definity makes daily operations easier and enables continuous optimization at scale. More companies are adopting it as they seek greater efficiency beyond traditional monitoring tools.

As AI adoption grows, data platforms are facing increasing pressure. Managing pipelines with full context, and automation is becoming essential. Definity helps teams move from reactive monitoring to proactive, automated management of production data pipelines.

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"As AI becomes embedded across the enterprise, data platforms can no longer be operated through fragmented, reactive tooling," said Roy Daniel, CEO and co-founder of definity. "Agentic data engineering introduces a new operating model – agents that continuously understand, optimize, and protect data pipelines in production. definity was purpose-built to deliver on that promise for the enterprise."

"definity brings much-needed intelligence to the data layer by applying runtime context across data pipelines," said Steve Tack, Chief Product Officer at Dynatrace. "Their approach directly aligns with our vision of full stack observability from applications and infrastructure to data and AI."

"definity is solving a problem that becomes unavoidable at enterprise scale," said Gautam Krishnamurthi, General Partner at GreatPoint Ventures. "Their runtime-first architecture and early traction with high-caliber customers position them to lead the shift toward agentic data engineering – the evolution of the modern data platform."

About definity

Founded by Roy Daniel, Ohad Raviv, and Tom Bar-Yacov, Definity is an AI-driven data engineering platform for lakehouse and Spark systems. It uses AI agents to provide real-time insights that help teams reduce costs, prevent issues early, and work more efficiently.

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