Definity, an agentic data engineering platform purpose-built to operate and optimize enterprise lakehouse and Spark data pipelines, has raised an oversubscribed $12 million Series A financing, bringing its total funding to $16.5 million. The round was led by GreatPoint Ventures, with participation from Dynatrace and existing investors StageOne Ventures and Hyde Park Venture Partners.
The Chicago-based company addresses a critical operational gap in modern enterprise data platforms, where fragmented tooling monitors isolated signals after the fact and without a unified operational context, leaving data engineering teams reactive and manual. At the core of Definity is an in-motion architecture that operates directly within production pipelines without requiring code changes, capturing full-stack signals across infrastructure behavior, pipeline execution, and data characteristics. This unified runtime context enables AI agents to autonomously analyze, optimize, and take action in production rather than remain advisory and post hoc.
Global enterprises using Definity have reduced platform costs by more than 30% through job-level optimization and resolved complex Spark issues 10 times faster. The platform supports large lakehouse deployments across cloud and on-premises Spark environments, including Databricks, AWS EMR, GCP Dataproc, and Spark on K8S. The company has tripled its revenue over the past six months and added several Fortune 500 and large enterprise customers.
The new capital will support continued development of Definity’s agentic capabilities, expansion of ecosystem integrations, and growth of go-to-market operations.
KEY QUOTES:
As AI becomes embedded across the enterprise, data platforms can no longer be operated through fragmented, reactive tooling. 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.
Roy Daniel, CEO and Co-Founder, Definity
definity brings much-needed intelligence to the data layer by applying runtime context across data pipelines. Their approach directly aligns with our vision of full-stack observability — from applications and infrastructure to data and AI.
Steve Tack, Chief Product Officer, Dynatrace
definity is solving a problem that becomes unavoidable at enterprise scale. 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.
Gautam Krishnamurthi, General Partner, GreatPoint Ventures
