The new companies in your area that will actually trade.
Two-thirds of newly incorporated companies never do. Salenovo scores every incorporation in your postcode areas, tells you what each one probably does, and flags the ones that don't yet have an accountant — every week, built from Companies House and other public data.
Free during the pilot. One email a week. No personal data beyond the public register.
What you get each week
A short, ranked list for your postcode areas, not a dump of the register.
A score you can act on
Every company is banded A to E on how likely it is to become a real trading business, from a model trained on companies whose outcomes are now known. Band A trades 60–70% of the time; band E, under 10%.
What it probably does
SIC codes are wrong or generic a third of the time. We read the name, codes and directors together and give you a plain-English line — and separate operating businesses from property vehicles, holding companies and shelf companies.
Who already has an accountant
A quarter of new companies are registered at an accountancy firm's address. We flag them, so your time goes on the ones that are still looking.
What the waste costs you
Most firms that work Companies House data write to every new company in their area. Put your own numbers in.
£2 is a second-class stamp (91p), paper and envelope (about 25p) and four minutes of someone's time at £15 an hour. A mailing house does it for about 70p a letter — but you still pay for every wasted one.
Based on a held-out test cohort of 10,000 companies incorporated in 2024. A raw list contains 20.8% real, operating businesses with no accountant on record; Salenovo's shortlist (bands A–C, operating businesses, no accountant on record) is 30% of the list, 46.9% real prospects, and reaches 68% of all the real prospects in the area. Your area's exact figures come with the sample.
How it's built
Public data, read carefully.
Every incorporation, on day one
Each new company is captured the day it appears on the register: name, address, SIC codes, how it was formed, and the founding directors' track records on the public register.
Scored against known outcomes
The model is trained on 447,000 companies incorporated in 2022–2024 whose fate is now known — dissolved, dormant, struck off or trading — and tested on cohorts it has never seen.
Filtered for the way you sell
For accountants: real businesses with no accountant on record. For brokers, agencies and lenders: the sectors and signals you care about, in the areas you cover.
Questions we get asked
Where does the data come from?
Companies House (bulk data and API, Open Government Licence), the ICO register of fee payers, and public DNS. Nothing is scraped from private sources.
Is there personal data in it?
No more than is on the public register, and less: director names, dates of birth and addresses are deliberately left out. You get company-level facts and a score.
How accurate is the score?
On companies the model has never seen, the top band trades 60–70% of the time and the bottom band under 10%, against a base rate of about 35%. It is a ranking, not a guarantee — which is why we show the bands rather than a yes/no.
What does it cost?
Free during the pilot, in exchange for honest feedback. Pricing will be set with pilot users; it will be a flat monthly amount per postcode area.
See your own area first.
Tell us which postcode areas you cover and we'll send you last week's list — scored, classified and filtered — within a day.