- Specialization
- Data Engineering
- Business
Agent Toolingand 2 more business valuesLess
- Data Provision
- Software Applications
- Market
- Financial Services
- Ecosystem
- Agents
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Agent Tooling, Data Provision, Software Applications
- Specialization
- Data Engineering
- Market
- Financial Services
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Definite builds AI agents that automate regulatory reporting for banks and other financial institutions, from raw ledger data through filed reports. Its differentiation is a verification engine that recomputes each number from source records and links it to a versioned rulebook, rather than merely checking formatting.
Market
Definite competes in the modern data stack and AI-native analytics market, combining capabilities that companies often buy separately as a warehouse, ETL platform, and BI tool. It positions itself as an all-in-one, low-engineering alternative: teams can connect data and get answers quickly without SQL or a full data team, while private-cloud deployment, open-source foundations such as DuckDB and Apache Iceberg, and reduced vendor lock-in differentiate it from conventional cloud data stacks.
Definite targets modern teams and enterprises that need analytics without building or maintaining a large data-engineering function. Its clearest buyer/user personas are product leaders and business teams, with evidence of applicability to e-commerce, marketing, sales, and other data-intensive functions.
At a Glance
Problem
Modern companies often need a costly, fragmented analytics stack—a warehouse such as Snowflake, an ETL service such as Fivetran, and a business-intelligence tool such as Looker—plus engineers to make it useful. Definite frames the economic pain as roughly six months, a $500,000 budget, and a dedicated engineering team just to get answers about the business, while ad hoc analysis and delayed insights make it difficult to understand what is really happening.
The killer use case is helping product teams connect product usage with customer context and business outcomes. Instead of merely seeing feature activity, teams can understand how product changes affect retention, expansion, and revenue, and explore usage trends without writing queries or building custom reports.
Product / Service
Definite is positioned as a full-stack, AI-native data platform that combines a secure data lake or warehouse, ETL pipelines, and business intelligence in one application. It replaces the need to assemble and maintain separate infrastructure, moving data through the platform and turning it into dashboards and business insights in minutes rather than months.
The product is designed for modern teams that want to investigate their business directly, without ad hoc analysis, SQL-heavy workflows, or custom reporting. By bringing product usage, customer context, and business outcomes together automatically, Definite promises faster answers and a simpler path from raw data to decisions.
Market
Definite competes in the data infrastructure, analytics, and business-intelligence market, specifically the emerging category of AI-native data stacks. Its competitive alternative is not only another analytics application but the conventional combination of a data warehouse such as Snowflake, an ETL platform such as Fivetran, and a BI product such as Looker; Definite’s differentiation is to combine those functions in a single AI-powered platform.
The company was founded in 2023 and has disclosed meaningful early financing traction: a $10 million seed round led by Costanoa, with participation from Acrew Capital and strategic angels. The available materials do not report revenue, customer counts, or other operating metrics, so the evidence supports describing Definite as an early-stage, venture-backed company rather than claiming a particular level of commercial scale.
Founders & Leadership
Funding History
Y Combinator
Recent News
Y Combinator’s finance and accounting startup directory dated August 11, 2026 lists Definite as an active S2026 company. This publicly identifies Definite as part of Y Combinator’s Summer 2026 cohort, although the available source does not disclose a financing amount.
A dated LinkedIn company-page update describes Definite as building AI agents that generate the reports banks and financial institutions file with regulators.
Active Roles
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Get notified when they postBusiness Model
Definite operates as a demo-led B2B SaaS company selling regulatory-reporting agents and verification software to banks, credit unions, fintechs, and insurers. The available evidence does not disclose specific pricing or whether contracts are subscription-, usage-, or implementation-based.