Map any private sector to twelve credible targets
Thema reads UK filings and hiring signals to rank the twelve companies a deal team would otherwise surface over three weeks of calls.
Three weeks of calls to produce a twelve-company longlist
Deal teams spend the first month of any new sector engagement doing work that Companies House, job boards, and filing databases can answer in hours. Thema automates the extraction and ranking so the team can focus on judgement, not data gathering.
Credible acquisition targets surfaced per sector map
Ranked by growth signal and strategic fit, not alphabetical orderTypical delivery time for a completed sector map
From brief to ranked target list, with filing evidence per entrySources cited and traceable to public filings
Every data point links back to Companies House or a public job listingFrom sector brief to ranked longlist in three steps
Thema ingests public-domain data continuously. When you submit a sector brief, it runs a scoring pass against the live graph and returns a ranked list.
Define the sector
You describe the target space in a brief: sector, geography, indicative size range, and any characteristics you care about. No lengthy questionnaire.
Thema scores the universe
The platform runs your brief against its knowledge graph of UK private companies, weighting filings data, headcount trajectory, and hiring pattern for strategic fit.
Receive the ranked list
You receive twelve companies in ranked order, each with the filing evidence and hiring signals behind the score. Every claim is traceable to source.
What a sector map looks like
Below is a representative Thema output for a UK industrial services sector brief. Company names are synthetic; data structure and signal columns are real.
Every signal is named, not claimed
Thema draws on named public-domain sources only. No proprietary databases, no scraped contact lists.
Companies House filings
Annual accounts, confirmation statements, and PSC registers for every UK private limited company. Structured financial and ownership data updated as filings are published.
Job board signals
Active role postings and their seniority, function, and location. Hiring pattern across time indicates growth trajectory and strategic direction more reliably than reported headcount alone.
Employment data
Declared headcount from annual accounts and confirmation statements, used to derive revenue-per-employee proxies and track growth year-on-year without relying on self-reported figures.
UK government contracts
Published award notices from the government contracts register, identifying which private companies hold public sector revenue. A disclosed revenue floor that confirms scale for sectors where public contracts are a meaningful share of turnover.
Built by practitioners
The team behind Thema spent years producing sector research and building the data systems that support it. The product exists because we could not find a tool that did the structural mapping properly.
Finn MacCabe
CEO & Co-Founder
Sell-side research background covering private company sectors for financial sponsors. Built target lists by hand long enough to recognise the problem was structural. Leads product direction and sector mapping methodology.
Priya Nair
CTO & Co-Founder
Background in graph database systems and NLP applied to financial document extraction. Leads Thema's technical architecture, entity resolution pipeline, and the scoring model that ranks targets within each sector map.
Stefan Berger
Head of Research
Specialist in private company assessment and Companies House data analysis. Developed Thema's sector classification methodology and manages coverage quality across the sectors we currently serve.
Ready to run your first sector map?
Early access is open to corporate development teams and private equity firms. No long onboarding. Brief in, ranked list out.