Where structured company data delivers real impact.
mnAi supports organisations across a focused set of industries where structured company data plays a critical role in analysis, reporting, and decision-making.
The Challenge
Every industry relies on company data - but few have access to it in a usable form.
Organisations across sectors face common challenges:
- Fragmented data sources that don't connect
- Missing or inconsistent company attributes
- Manual effort to prepare data for systems
- Industry-specific needs that generic providers can't meet
The result:
- Delayed decisions due to data gaps
- Inconsistent reporting across teams
- Limited ability to scale data-driven processes
The Solution
One structured data foundation. Multiple industry applications.
mnAi provides a consistent, structured data foundation that can be adapted to different environments - ensuring organisations can apply data reliably across their specific use cases.
Industry Focus
mnAi works with organisations across the following industries
Select an industry to understand how mnAi supports specific challenges, workflows, and decision-making processes.
Data & Information Services
Powering data platforms, aggregators, and information providers with structured, integration-ready datasets.
Learn moreBanking & Financial Services
Supporting onboarding, risk assessment, portfolio analysis, and regulatory reporting.
Learn moreInsurance & Re-Insurance
Enabling underwriting, exposure analysis, and accurate classification.
Learn moreProfessional Services
Providing enhanced company intelligence for advisory, compliance, and client insight.
Learn moreGovernment & Public Sector
Supporting reporting, policy development, and large-scale data initiatives.
Learn moreCross-Industry Capability
All industries are supported by the same underlying foundation
450+ structured variables per company
Billions of data points across UK companies
Continuously updated datasets
Structured outputs designed for systems and reporting
This ensures consistency across industries while allowing for tailored application.
While the application differs, the outcome is the same - structured, reliable data that can be applied consistently at scale.