Daloopa, a start-up that offers data extraction services, has closed a $20 million Series A financing led by Credit Suisse Asset Management’s NEXT Investors.
A number of existing investors were also involved in the round, including Hack VC, Nexus Venture Partners, and Uncorrelated Ventures, as well as new investors. There have been a total of $24 million raised by the company to date.
Daloopa’s board of directors will have at least one member appointed by both NEXT Investors and Nexus Venture Partners as part of the round of investment.
As part of its mission to automate and extract data at scale for large enterprises including banks, financial institutions, and government agencies, New York-based FinTech Daloopa was established in 2019. As a result, the firm claims that its customers are interested in making decisions, and not in obtaining and verifying information.
Daloopa claims to be able to extract financial data from millions of complex financial documents, covering both structured and unstructured documents in a number of languages with its AI technology.
With offices in New York and Noida, India, the company currently has two locations worldwide, namely in New York and Noida, India.
“We are at a turning point in technology where software and artificial intelligence are capable of automating some of the most mundane responsibilities for financial analysts,” said Thomas Li, Daloopa’s CEO.
In addition, Li stated that the company’s financial data extraction service is aimed at offering ‘accuracy exceeding 99.9%’ as a guarantee of accuracy.
Daloopa, a data extraction start-up based in the US has raised $20 million in Series A funding led by Credit Suisse Asset Management’s NEXT Investors
The round also saw participation from existing investors Hack VC, Nexus Venture Partners and Uncorrelated Ventures.
Over $20m in VC funding so far.
Daloopa’s CEO is leaving the company to take an exciting new role in another company, so as a part of the round Daloopa is going to add
Daloopa is an early-stage FinTech founded in New York, and they automate and extract data at scale for large enterprises including banks, financial institutions, and governments.
The company claims that it’s customer focused on decisions, not data.
This is a cool machine learning company with a unique AI platform that claims to have the ability to extract financial information from millions of complex financial documents, covering both structured and unstructured documents in a range of languages.Q: C++ Template Class Inheritance / Superclass issue I have a template class which defines a template subclass.
The company has two locations worldwide: a New York office and an office in Noida, India. The second option is the best. You may consider using: A:
When Daloopa CEO Thomas Li says, “we are at a turning point in technology,” he’s talking about a future where software and AI can replace the financial analyst. With accuracy of up to 99.9%, you can make decisions based on accurate financial data.