This firm has been in financial services for a long time. Its enterprise clients count on it for data about companies most providers have never heard of, and getting that data right used to take days.
The records
The records come from documents run through OCR. By the time a company name reaches the firm, it can carry a typo from whoever wrote the original, a misread from the OCR, and stray text from the rest of the page.
The companies behind them range from small businesses to mid-sized and larger ones. Some have no website at all. Some exist only in a government filing. Some are LLCs set up to hold a single building.
For every record the firm needs four answers. Which company is this? Where is it? What does it do? Is it real?
Before: a research team and a queue
A team of five to ten researchers worked these records by hand. One request could take days. The answer depended on who picked it up, and the hardest records sometimes came back empty.
Cost was never the main problem. Speed and consistency were.
After: one API call
Now the raw record goes straight to the SavvyIQ API, typos and all. Our agents work out the name that was meant, check it against 140+ official registries and other sources, and confirm the company exists.
A few minutes later the response comes back with the legal entity, its location, its industry code, and a stable entity ID. Send the same record again and you get the same answer.
How they tested
Before switching, the firm ran 1,000 of its own records through SavvyIQ and Moody’s and compared the results. SavvyIQ matched 92% of them correctly. Moody’s matched 58%.
Today
The API replaced the manual research team. The firm runs its records through SavvyIQ every day and has for quite a while.
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