data
Data that drives decisions
Smarter risk analytics start with smarter data
Trusted since 1998 | 26O+ clients
data
Our credit risk analytics engine is built on transparent matching logic and expertly curated public data. With confidence scoring, custom algorithms, and full visibility into data quality, we help you manage risk with clarity.
Our analytics draw from a wide range of public sources. Including company filings, VAT data, and furlough schemes.
Even when records lack consistent identifiers like Company Registration Numbers, we apply rigorous logic to ensure accurate links.
No blind spots. Just clean, trustworthy inputs.
We don’t just match. We quantify the match.
Our in-house algorithms calculate a confidence score for each data link, giving you full transparency when alternative identifiers are used.
From VAT numbers to forecasting inputs, we show the strength of the connection, so you can act accordingly.
Our credit risk models are backed by some of the brightest data scientists and engineers in the space. They’re focused on solving the real problems behind company database gaps, inconsistent IDs, and fragmented records.
The result? Analytics you can rely on. Whether you’re mitigating risk or powering your next B2B strategy.
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Discover how advanced credit risk analytics combined with expert data curation can help you predict risk. And reduce it.
built on trust
We’ve built our reputation on reliability, transparency, and results that speak for themselves. In every project, partnership, and conversation — trust is the foundation.
Over 25 years of minimizing business risk
CICM British Credit Award Winners
Industry-leading Net Promoter Score® (May 2025)
“We’ve worked with Company Watch for more than 10 years now. I’m impressed with how Company Watch is always ahead of the curve and always exploring innovative new ways to add value to the risk analysis process.”
Ian Selby
Chief Underwriting Officer
“One-stop shop for our information needs.”
Jon Rigby
Risk Analyst
“Easy to use service.”
Andrew Taylor
Transaction Risk Manager
“Provides good, early data and a different perspective to underpin our decisioning. Having moved from a long-standing data provider, we have found Company Watch to be a very innovative product that will be a game changer for our credit management. A professional product for professionals!”
Simon Howell
Senior Credit Manager
“Very reliable and accurate scoring module.”
Ray Draper
Head of Risk & Fraud Management
“A breath of fresh air in the tech space.”
Jane Hull
Underwriting Director
“I don’t believe there is anything else quite like Company Watch on the market.”
Chris Ardern
Risk Underwriting Manager
FAQS
Risk analytics refers to analysing financial and non-financial data to predict the likelihood of default or financial stress in a company. We do this using curated public data and matching algorithms.
Explore our B2B data builder for powerful risk analytics.
Low-quality or mismatched data leads to bad scoring and misinformed decisions. We use structured, verified sources. Where needed, we apply advanced matching with a confidence score so you can trust the output.
If a dataset doesn’t use a Company Registration Number, we use proprietary matching algorithms – leveraging fields like VAT numbers, names, and more – and always display a % confidence in the match.
We use a blend of public datasets, including Companies House filings, VAT registration data, furlough scheme information, and more. All structured to feed robust credit risk analytics.
Absolutely. Clean, matched data supports smarter strategies – helping you target growth-stage businesses or identify distressed companies for proactive engagement.
Yes. We’re fully transparent. Any time we’ve had to apply a match manually or via algorithm, you’ll see a confidence score showing exactly how strong the link is.
See how our solutions can transform the way you manage financial risk. Take the first step toward a more resilient, data-driven future.
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