mnAi and NACFB Join Forces to Revolutionise Commercial Finance

mnAi, front-runners in data intelligence, proudly announces its partnership with the National Association of Commercial Finance Brokers (NACFB). 

This collaboration marks a significant stride in reshaping industries and empowering businesses with critical insights for success in today’s dynamic landscape.

Ricky Cowan, Managing Director of mnAi, expressed excitement about the partnership, stating, “At mnAi, we’re dedicated to unlocking the power of data, providing unparalleled access to elusive insights that drive success. We’re thrilled to announce our partnership with the prestigious NACFB”.

Norman Chambers, Managing Director of NACFB, echoed the sentiment, “We welcome mnAi and their sophisticated data intelligence solution. For our members, having the ability to uncover hidden connections throughout their clients’ networks could enhance their risk assessment processes and, ultimately, may impact brokers’ decision-making”.

Together, mnAi and NACFB leverage cutting-edge capabilities and a valued network to deliver unmatched value to clients. From uncovering hidden market trends to optimising strategic decision-making, their synergy drives innovation and tangible results.

Cowan further added, “We are delighted to be partnering up with such a recognised association and very much look forward to working with the NACFB team and its members over the months ahead. We firmly believe we have the data to make a real impact for the brokering community in their drive to grow their deal origination and due diligence capabilities”.

This partnership marks the beginning of a new era of data-driven decision-making in commercial finance, promising transformative outcomes for businesses across the UK.

About mnAi

mnAi is a multi-award-winning data, insight and analytics platform that uses proprietary technology to supply enhanced research, analytics and due diligence on all UK companies. Utilising cutting-edge algorithms, we specialise in building hard-to-obtain datasets on private companies including proprietary disaggregated gender data.