Michal Kaszubskikaszub.ski

Work · Products · 03 / 07

Acquisition-target intelligence for fragmented UK private markets

NeuralKiteA live product that maps private companies in fragmented UK sectors, scores them against an acquisition thesis and produces decision-ready dossiers; built for people who buy companies, and relevant to AI, private-equity and finance-oriented employers.

In brief

NeuralKite maps private companies in fragmented UK sectors, scores targets against an acquisition thesis and produces decision-ready dossiers. Its workflows run from ownership discovery through screening, thesis-fit scoring and shortlisting to export; the sectors named on the live site are UK MSPs, accountancy firms and IT services.

Under the surface it is a Next.js App Router application in TypeScript, with Prisma on PostgreSQL, NextAuth, Stripe billing, LLM agents on the Anthropic SDK for company research and dossiers, Playwright and Cheerio scrapers, and server-sent events for live discovery. It sits on a self-hosted PostgreSQL warehouse that includes a 2.8-million-company Crunchbase dataset I loaded and analysed.

The neuralkite.com landing page: the headline 'Find your next acquisition before anyone else', a description of mapping private companies in fragmented UK sectors and scoring them against a thesis, buttons to book a demo or sign in, and sector tags for UK MSPs, accountancy firms and IT services.
The public NeuralKite landing page: find your next acquisition before anyone else.Screenshot, neuralkite.com, September 2026
Product demonstration using an illustrative example company; not real data. The research pipeline runs from a company name to a scored dossier. Click to play; nothing loads until you do.Screen recording, 81.8 s, self-hosted

Status

Status note

Live product, deployed and publicly accessible; customer numbers, revenue and launch stage are not published, and none are claimed here.

The full case study, covering the problem, my contribution, the technical decisions, the evidence, the limitations and what I learned, follows.