mnAI is the world’s first AI-powered company deal-flow search engine for the private investment markets and uses a combination of big data and cutting edge algorithms to allow clients to reduces the time it takes companies and individuals to identify and understand relevant businesses from months to minutes.

mnAI is the world’s first AI-powered company deal-flow search engine for the private investment markets and uses a combination of big data and cutting edge algorithms to allow clients to reduces the time it takes companies and individuals to identify and understand relevant businesses from months to minutes.

We do this by providing a one-stop-shop approach to insight and analysis for Investors by leveraging sophisticated data science processes, a dynamic and proprietary data library, predictive modelling technology and AI to perform comprehensive analysis powered by 7.2bn data points (and growing!) on 6.5m UK companies.

With the user experience at the heart of everything we do, mnAI was built using the latest in cutting edge technology, taking full advantage that this brings. In doing so, it means that we have been able to rip-up the rule book, turning months of research into minutes of insight with features that include:

- Predictive forecasting on company growth

- True peer identification through our analysis of key word based searching

- Combined financial and reputational credit scoring

What are the main benefits of using machine learning and artificial intelligence?

A good example of this lies at the start of the investment cycle – target identification and due diligence. Our industry wide research concluded with the startling fact that it takes (on average) 126hrs of research simply to find a target to talk to and the highest we heard of was nearer 170hrs of research per analyst. In short, it makes for an unscalable, expensive, human reliant, capital inefficient problem that technology and AI can solve.

mnaiQynn Limited5.0(1 clasificaciones)

mnai

Qynn Limited

mnai

Qynn Limited

mnai
Qynn Limited
5.0(1 clasificaciones)