Beyond Descriptive Analytics: How Radix Deploys NLP and ML for Off-Market M&A
In the private equity and M&A sectors, deal origination and commercial due diligence have historically relied on human intuition and manual data extraction. Teams spend thousands of hours parsing dens
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Founder of Radix | Automating financial spreading and off-market deal origination for M&A professionals.
Founder of Radix Private Markets, automating off-market M&A deal origination. MSc Data Science student building fintech infrastructure. My work is focused on eliminating hours of manual analysis by autonomously converting raw Companies House statutory filings into structured three-statement models in seconds. By automating the entire due diligence pipeline, from programmatic whole-of-market monitoring to generating interactive, investment-committee-grade dossiers, I enable M&A professionals to bypass data entry and focus entirely on closing deals. Currently pursuing an MSc in Computer Science with Data Science, this journal documents the underlying engineering behind these execution modules, bridging rigorous academic research with commercial FinTech architecture.
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