5.68 million companies. Your next 50 customers are in there somewhere.
The hard part isn’t finding companies — it’s finding the right ones without spending half your week doing it.
Here’s a scenario that plays out constantly in sales teams: someone builds a prospect list by Googling, asking around, maybe exporting a half-decent LinkedIn search. It takes days. Half the companies are too small. A third are in the wrong region. Several incorporated last month and have zero revenue history. The list is a mess before the first call is made.
Borsch.ai’s advanced search was built to fix exactly this.
Filter 5.68 million UK companies by SIC sector, employee size, geographic region, incorporation date, and financial metrics — simultaneously. Looking for mid-sized manufacturing firms in the Midlands, incorporated after 2018, with turnover above £2M? That’s a filter combination, not a research project. Takes about 30 seconds.
The use case that keeps coming up: a business development team targets a specific vertical — say, logistics companies scaling post-pandemic. Instead of a vague industry list, they pull companies by SIC code, filter for those with 10-50 employees, sort by recent incorporation to catch the fast-growers, and cross-reference financials to confirm there’s actual money there. Qualified list. Done.
No spreadsheet archaeology. No “I’ll just check Companies House manually” energy. Just a clean, targeted list of companies that actually match what you’re selling to.
Sales is hard enough without handing your team a rubbish prospect list to start from.
Build a better one at https://borsch.ai
