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Definity

Category: AI in Analytics & BI

An agentic data engineering platform for the Lakehouse and Apache Spark ecosystem, providing real-time observability, cost optimization, and proactive failure prevention for enterprise data pipelines. Definity was founded in 2024. The company is led by Roy Daniel. Based in Chicago, United States. Total funding raised: $16.5M. Latest round: Series A, $12M, Announced 2025. Key investors include ["GreatPoint Ventures","Dynatrace","StageOne Ventures","Hyde Park Venture Partners","Accrete Health Partners"].

Founded
2024
Headquarters
Chicago, United States
Total funding
$16.5M

Value proposition

AI agents embedded inside Spark pipelines to catch data quality, reliability, and cost failures in-motion before they impact downstream agentic AI systems or business operations.

Products and solutions

["Cost Optimization (job-level, cluster, and code optimization with auto-tuning)","Pipeline Observability (real-time data quality, SLA, and execution health monitoring)","Agentic Troubleshooting (AI-powered root cause analysis with full data-stack context)","Code Change Validation (runtime-aware, automated CI/CD validation for pipeline code and platform upgrades)"]

Target customer

Enterprise data engineering, platform, and data infrastructure teams using Spark, Databricks, AWS EMR, and GCP Dataproc.

Industries served

["Data Infrastructure & Analytics","Enterprise Software","Technology"]

Technology advantage

Patented agentic approach embedded directly into Spark pipeline execution, enabling in-motion detection, preemptive run preemptions, and auto-remediation without requiring manual re-routing or staging setup.

How they differentiate

Unlike traditional observability or monitoring tools that are reactive, Definity's agents operate inline with job execution to autonomously optimize, fix, and upgrade pipelines in real-time, shifting from alert-driven ops to proactive runtime intelligence.

Main competitors

["Monte Carlo","Great Expectations","Sifflet","Cribl (for observability edge)"]

Key partnerships

["Databricks (April 2025) — partnership to bring full-stack data observability, performance tuning, and proactive validation across Databricks and Spark ecosystem"]

Major milestones

["2024: Raised $4.5M Seed round and emerged from stealth to transform data application observability","2025: Launched agentic data engineering platform with inline Spark agents","2025: Announced partnership with Databricks","2026: Raised $12M Series A led by GreatPoint Ventures to scale go-to-market and R&D","Tripled revenue over the past six months as of early 2026"]

Market positioning

Early stage leader in agentic data engineering, targeting the mission-critical Spark and Lakehouse infrastructure market, competing against legacy data observability and platform optimization tools.

About Roy Daniel

Co-Founder & CEO; previously worked at FIS, and has a background in enterprise data engineering leadership

Official website: