definity is an Israeli-founded, Chicago-headquartered agentic data engineering startup that places AI agents directly inside production data pipelines. The platform observes Spark, Databricks, AWS EMR, and Google Cloud Dataproc jobs in real time, collecting telemetry on infrastructure behavior, execution paths, and data characteristics. Its in-motion architecture works without requiring code changes to existing pipelines, and uses agents to detect anomalies, prevent failures, and optimize resource usage before incidents cascade into downstream AI and analytics systems.
The company positions itself for the agentic AI era, when broken or silently degraded pipelines translate immediately into broken AI products. According to definity, global enterprises using the platform reduce platform costs by more than 30% through job-level optimization, prevent pipeline and data incidents in motion, and resolve complex Spark issues roughly ten times faster than with traditional observability tooling. The company reported that revenue tripled in the six months preceding its Series A, with adoption inside several Fortune 500 customers.
In April 2026 definity unveiled the platform alongside an oversubscribed $12 million Series A led by GreatPoint Ventures, with participation from Dynatrace and existing investors StageOne Ventures and Hyde Park Venture Partners. The round brought total funding to $16.5 million. Strategic involvement from Dynatrace signals alignment with the broader observability and APM market.
definity competes with traditional data observability tools such as Monte Carlo, Bigeye, and Acceldata, with cost-optimization platforms like Sync Computing and Unravel, and with native Databricks features. Its differentiation rests on in-pipeline agentic operation rather than after-the-fact monitoring.