Chicago’s definity Unveils Agentic Data Engineering Platform with $12M Series A

Chicago-based AI startup definity this week unveiled its agentic data engineering platform alongside an oversubscribed $12 million Series A round. The financing was led by GreatPoint Ventures, with participation from Dynatrace and existing investors StageOne Ventures and Hyde Park Venture Partners.

According to the company, the round brings their total funding to $16.5 million.

definity describes its platform as purpose-built to operate and optimize enterprise lakehouse and Spark data pipelines. The company says its architecture works directly within production pipelines without requiring code changes, capturing signals across infrastructure behavior, pipeline execution, and data characteristics during runtime.

In the announcement, CEO and co-founder Roy Daniel framed the launch as a shift away from what he called fragmented, reactive monitoring tools, saying "agentic data engineering introduces a new operating model" in which AI agents continuously analyze and act on production pipelines.

The platform supports lakehouse deployments across cloud and on-premises Spark environments, including Databricks, AWS EMR, GCP Dataproc, and Spark on Kubernetes.

definity says enterprises using its platform have reduced platform costs by more than 30 percent through job-level optimization and resolved complex Spark issues 10 times faster, without citing specific examples. It also says it has tripled revenue over the past six months and added several Fortune 500 customers.

Steve Tack, Chief Product Officer at Dynatrace, said in the announcement that definity's  “approach directly aligns with our vision of full-stack observability – from applications and infrastructure to data and AI.”

Gautam Krishnamurthi, a General Partner at GreatPoint Ventures, said the company's runtime-first architecture and early customer traction position it for what he described as the broader shift toward agentic data engineering.

The company says the funds will support continued development of its agentic capabilities, expansion of ecosystem integrations, and growth of go-to-market operations.