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 2023. The company is led by Roy Daniel. Based in Chicago, United States. Team size: 11-50. Total funding raised: $16.5M. Latest round: Series A. Key investors include GreatPoint Ventures, Dynatrace, StageOne Ventures, Hyde Park Venture Partners.
- Founded
- 2023
- Headquarters
- Chicago, United States
- Team size
- 11-50
- 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) — technology partnership for full-stack observability, performance tuning, and proactive validation; deepened Aug 25, 2026 with GA agentic optimization/observability for Databricks Serverless
Notable customers
Nexxen, Fortune 500 FinServ / digital payments (GCP Dataproc, anonymized), Top-3 US TV/streaming provider (AWS EMR, anonymized)
Major milestones
2024: Raised $4.5M Seed and emerged from stealth, 2025-04: Databricks technology partnership, 2026-04: Unveiled agentic data engineering platform; $12M Series A led by GreatPoint Ventures (total $16.5M); tripled revenue over prior six months, 2026-08: Databricks Serverless agentic optimization & observability GA
Growth metrics
Tripled revenue over ~6 months ending Apr 2026; added Fortune 500/large enterprise customers. Site claims: 40%+ infra cost reduction, 90% prevented data incidents, 25% increased dev velocity (as of Aug 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
Latest news about Definity
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Official website: https://www.definity.ai/