definity
definity is an agentic data engineering platform for Apache Spark and lakehouse environments, embedding AI agents directly in pipeline execution to optimize cost, accelerate developer velocity, and improve data reliability for enterprise data platform teams.
- Company typePrivate
- Founded2024
- HeadquartersChicago, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What definity does
definity (legal name: Definity AI, Inc.) is a venture-backed private software company headquartered in Chicago that builds an Agentic Data Engineering Platform for Apache Spark and lakehouse environments. Founded in 2024 by Roy Daniel (CEO), Ohad Raviv (CTO), and Tom Bar-Yacov (VP R&D), the company sells to enterprise and mid-market data platform and data engineering teams running Spark workloads on Databricks, AWS EMR, GCP Dataproc, dbt, or Cloudera. Named customers include a Fortune 500 financial services and digital payments company headquartered in California, Nexxen (NASDAQ: NEXN) in AdTech, and a top-3 U.S. TV provider.
The product is built around a Spark agent jar (definity-spark-agent-3.5_2.12-latest.jar) loaded via Spark Submit with no code changes, combined with a proprietary Model Context Protocol (MCP) runtime layer that gives AI agents structured access to pipeline, code, and infrastructure context. The platform is organized into three primary modules — Cost Optimization, Pipeline Observability, and Code Change Validation — augmented by an embedded AI Assistant that performs agentic root-cause analysis, anomaly detection, automated run preemptions, and predictive performance profiling. A free Spark Cost & Health Assessment add-on is used as a top-of-funnel motion.
definity operates a hybrid go-to-market combining product-led growth (a free Explorer tier and a usage-based Pro tier at $0.003/vCore-hour) with enterprise field sales (custom-priced Enterprise tier, SaaS or self-hosted) and channel distribution through AWS Marketplace, the Databricks partner program, and the Vercel partner program. The company has raised $16.5M in total disclosed funding across a $4.5M seed round (August 2024, led by StageOne Ventures) and a $12M Series A (April 2026, led by GreatPoint Ventures with Dynatrace participation); revenue tripled over the six months preceding the Series A. The company holds SOC 2 compliance (AICPA) and has convened a Product Advisory Board of enterprise data and platform leaders.
definity firmographics
Firmographics- Name
- definity
- Legal name
- Definity AI, Inc.
- Website
- https://definity.ai
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- definity is an agentic data engineering platform for Apache Spark and lakehouse environments, embedding AI agents directly in pipeline execution to optimize cost, accelerate developer velocity, and improve data reliability for enterprise data platform teams.
- Ownership category
- akta.pro rank
definity industry classification
Industry- Product category
- Data Engineering Platform
- NAICS
- Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Model Deployment, Serving & Inference Platforms (HDAAABAF)
- akta.pro secondary industry
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC)
Keywords
Where definity is headquartered
LocationHeadquarters
- HQ city
- Chicago
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
definity business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Subscription — Pro tier: Recurring subscription priced on a usage-based metric ($0.003/vCore-hour) with bundled usage volume packages, designed as an upgrade path from the free tier.
- Freemium — Explorer tier: Free tier limited to 10 Spark jobs and 3 users on SaaS, used as a land motion to drive conversion into Pro and Enterprise.
- Enterprise contracts: Custom-priced enterprise contracts (unlimited users, SaaS or self-hosted) targeting Fortune 500 data platform teams.
- Usage-based compute consumption (Pro): Pro tier charges per vCore-hour consumed, giving a consumption-based component to the recurring subscription.
- Marketplace transactions: Available via AWS Marketplace, enabling customers to procure the product through cloud marketplace agreements (commit-based).
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Explorer — free tier, up to 10 Spark jobs and 3 users (SaaS only). |
| Usage-based | Pay-as-you-go | Pro — usage-based subscription starting at $0.003/vCore-hour, up to 10 users, with usage volume packages. |
| Subscription | Annual | Enterprise — custom pricing, unlimited users, SaaS or self-hosted. |
Go-to-market motion4 records
Distribution channels5 records
Marketing channels8 records
definity product offering
Product offeringCore offering
definity sells an Agentic Data Engineering Platform for Apache Spark and lakehouse environments that embeds AI agents directly inside Spark and dbt pipelines to optimize cost, monitor in-motion data quality, validate code changes, and accelerate root-cause analysis. The platform is delivered as definity Cloud (SaaS, also available on AWS Marketplace) or self-hosted across Explorer (free), Pro (usage-based at $0.003/vCore-hour), and Enterprise (custom) tiers, and deploys natively into Databricks, AWS EMR, GCP Dataproc, dbt, and Cloudera via a central Spark agent jar with zero code changes.
Product overview
definity is an agentic data engineering platform for lakehouse and Spark environments, delivered as a unified platform-plus-modules architecture that provides actionable runtime intelligence to optimize cost, accelerate developer velocity, and improve data reliability. The core platform is organized into three primary modules—Cost Optimization, Pipeline Observability, and Code Change Validation—augmented by an embedded AI Assistant that performs autonomous root-cause analysis using a Model Context Protocol (MCP) runtime layer. The platform also includes a free Spark Cost & Health Assessment add-on and is offered as definity Cloud (SaaS, also available on AWS Marketplace) or self-hosted deployment across Explorer, Pro, and Enterprise pricing tiers. It deploys natively into Apache Spark, Databricks, AWS EMR, GCP Dataproc, dbt, and Cloudera environments via a central Spark agent jar with zero code changes.
Differentiator
Problem solved
Functional benefit
Products and services
- definity Platform (Agentic Data Engineering Platform) Unified agentic data engineering platform for Apache Spark and lakehouse environments that embeds AI agents inside Spark and dbt pipelines to optimize cost, accelerate developer velocity, and improve data reliability through in-motion observability, agentic troubleshooting, and code-change validation; deploys via a Spark agent jar into Databricks, AWS EMR, GCP Dataproc, dbt, and Cloudera with zero code changes.
- definity Cloud SaaS deployment of the definity platform, also available on AWS Marketplace, offered in three pricing tiers — Explorer (free, up to 10 Spark jobs and 3 users), Pro (starting at $0.003/vCore-hour, up to 10 users), and Enterprise (custom, unlimited users, SaaS or self-hosted).
- Spark Cost & Health Assessment Free 1-week assessment that uncovers waste, inefficiencies, and savings opportunities across Spark pipelines, producing a heatmap of cost-saving actions and a prioritized optimization roadmap; runs 100% in the customer's environment and serves as a land motion into the Pro and Enterprise tiers.
- Definity Outcome Advantage Outcome-based consulting engagement model that pairs the definity platform with strategic expertise and links fees to realized business results rather than effort-based billing, designed to accelerate time-to-value for enterprise buyers.
Quantifiable outcome
- Revenue tripled over a 6-month period (as reported in Series A coverage).
- +2 more outcomes
Companies that use definity
Customer profileNamed customers3 records
Segments5 records
Ideal customer profiles3 records
definity technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability11 records
Feature6 records
definity partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered flagship and core.
- DatabricksflagshipDatabricks partner relationship; definity integrates with the Databricks lakehouse ecosystem and is featured as a Databricks partner. Press coverage frames the company in the Databricks context.
- Vercelcoredefinity is a Vercel partner program member, enabling joint go-to-market and ecosystem visibility among Vercel customers.
- Amazon Web Services (AWS)coredefinity is listed on AWS Marketplace, allowing customers to procure the product through AWS agreements; supports cloud-marketplace-led distribution.
Scale indicators6 records
Recent moves6 records
Expansion highlights7 records
definity competitors and assessment
Company assessmentDirect peers
- Anomalo: Anomalo provides AI-powered data quality monitoring and anomaly detection for enterprise data warehouses. It competes with definity's anomaly detection and observability module for Fortune 500 data teams.
- Monte Carlo Data: Monte Carlo is a data observability platform focused on data quality, freshness, and pipeline reliability. It is the most direct peer to definity's in-motion observability and anomaly detection module, and competes for the same enterprise data platform buyer.
- Datafold: Datafold provides data observability, data diffing, and CI/CD testing for data pipelines — directly overlapping with definity's code change validation and pipeline observability modules for dbt and warehouse workflows.
- Bigeye: Bigeye is a data observability and data quality platform with anomaly detection across pipelines and tables. It competes with definity's AI-powered anomaly detection and root-cause analysis capabilities for enterprise data teams.
- Soda: Soda offers data observability and data quality tooling, including checks, monitoring, and pipeline incident management. It is a direct competitor in data quality and observability for modern data stack pipelines.
- Acceldata: Acceldata is a data observability platform that provides pipeline reliability, performance optimization, and cost management — closely comparable to definity's lakehouse/Spark cost optimization and observability modules.
- Unravel Data: Unravel Data is a Spark and big-data performance optimization and observability platform. It is one of the closest direct competitors to definity's Spark cost and performance optimization module, targeting the same Fortune 500 data engineering buyer.
- Great Expectations: Great Expectations is an open-source data quality and testing framework widely used in data pipelines. It overlaps with definity's code change validation and data quality testing capabilities for enterprise data teams.
Broad incumbents
- Databricks: Databricks is the dominant lakehouse platform and definity's most important distribution partner. Its native observability, performance tuning, and AI/agentic features create direct competitive overlap with definity's modules and pose the largest incumbent threat.
- Dynatrace: Dynatrace is a broad enterprise observability and APM platform and is also a definity investor (Series A participant). Its application and infrastructure monitoring capabilities overlap with definity's pipeline observability from a buyer's perspective, making it a strategic incumbent and potential channel partner.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
definity social profiles
Digital presencedefinity compliance and trust
Trust signalCompliance1 record
definity financial estimates
Financial estimateRevenue estimate
Valuation estimate
definity leadership team
Management profileNumber of profiles
Profiles3 records
definity funding detail
Funding detailFunding overview
Funding rounds2 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
definity M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about definity
What does definity do?
definity sells an Agentic Data Engineering Platform for Apache Spark and lakehouse environments that embeds AI agents directly inside Spark and dbt pipelines to optimize cost, monitor in-motion data quality, validate code changes, and accelerate root-cause analysis. The platform is delivered as definity Cloud (SaaS, also available on AWS Marketplace) or self-hosted across Explorer (free), Pro (usage-based at $0.003/vCore-hour), and Enterprise (custom) tiers, and deploys natively into Databricks, AWS EMR, GCP Dataproc, dbt, and Cloudera via a central Spark agent jar with zero code changes.
Is definity a public or private company?
definity is a private company. It is classified as venture growth investor backed and is currently operating.
When was definity founded?
definity was founded in 2024. It employs 11 to 50 people.
Where is definity based?
definity is headquartered in Chicago, United States, in the North America region.
How does definity make money?
Five revenue lines are on record. Subscription — Pro tier is the primary driver. The others are freemium — Explorer tier, enterprise contracts, usage-based compute consumption (Pro) and marketplace transactions.
Who are definity's main competitors?
Direct peers on record are Anomalo, Monte Carlo Data, Datafold, Bigeye, Soda, Acceldata, Unravel Data and Great Expectations. Broad incumbents are Databricks and Dynatrace.
Does definity have an API?
Yes. definity provides a Spark agent jar (definity-spark-agent-3.5_2.12-latest.jar, Scala 2.12) loaded into Spark applications via Spark Submit configuration that connects to the definity SaaS backend at https://app.definity.run. The agent embeds directly inside Spark or DBT pipelines to detect and prevent failures in real time during execution. The platform exposes a Model Context Protocol (MCP) runtime layer that the embedded AI Assistant uses to access deep runtime context for root-cause analysis. Documentation is available at https://docs.definity.ai/ and the product is also distributed via AWS Marketplace. Developer documentation is at docs.definity.ai.
What industry is definity in?
definity's product category is Data Engineering Platform. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms, with a secondary code of HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem). Its NAICS code is 541511 and its SIC code is 7371.