mnAi provides proprietary, continuously refreshed firmographic datasets that are structured, connected, and ready for immediate integration via API, data‑warehouse connectors, or bulk exports. By applying multi‑source verification and real‑time updates, it delivers over 450 standardized variables per company, mapping relationships between entities, officers, and shareholders. This high‑quality intelligence helps risk, compliance, and analytics teams in regulated sectors make consistent, defensible decisions.
Funding
$5.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations in regulated sectors often rely on fragmented, outdated, and inconsistent firmographic data, which creates blind spots and increases compliance and operational risk. Incomplete or static records hinder accurate risk assessment, market analysis, and decision-making across financial services, insurance, government, and large enterprises.
Solution
mnAi delivers proprietary, continuously refreshed firmographic datasets that are structured, connected, and ready for immediate integration. Using multi-source verification and proprietary generation technology, the platform transforms raw inputs into standardized attributes covering over 450 variables per company. Data is validated for accuracy and auditability, then made available through flexible delivery options such as real-time APIs, data‑warehouse integrations, or bulk flat‑file exports. The solution enables organizations to replace disparate sources with a single, reliable intelligence layer, supporting consistent, defensible decisions in complex, regulated environments.
Target Audience
Primary customers are risk, compliance, and analytics teams within financial services, insurance, government agencies, and large enterprises that require high‑quality firmographic intelligence for regulatory reporting and strategic decision‑making.
Features
- Multi-source verification and continuous <24‑hour> update cycles ensure data reflects real‑world changes and ownership structures
- Structured datasets with 450+ standardized variables per company, providing uniform comparability across sectors and markets
- Connected data model that maps relationships between companies, officers, and shareholders for a complete view of corporate activity
- Flexible delivery methods: API access for real‑time queries, Snowflake integration for data‑warehouse workflows, and bulk flat‑file exports for offline processing
- Built‑in validation and quality‑check pipelines delivering audit‑ready, traceable data suitable for compliance and risk‑management use cases
- Scalable architecture supporting billions of data points across millions of UK and Australian entities