Pindrop, an American company that creates products to combat DeepFake and multi-factor authentication in banking, finance, and related industries, including call center fraud, is expanding its presence in Ukraine. What specialists are they currently looking for?
Pindrop, an American company that creates products to combat DeepFake and multi-factor authentication in banking, finance, and related industries, including call center fraud, is expanding its presence in Ukraine. What specialists are they currently looking for?
The company reported that they already have experience working with Ukrainian IT specialists and have just hired eight engineers to the team.
Pindrop CTO Neeraj Gupta emphasized the outstanding technical expertise, quality education, and valuable experience of Ukrainian engineers.
«They are well adapted to working in the American corporate culture. That is why we made a strategic decision to expand our engineering team here,» he added.
The company, according to the information provided, has always worked on the remote first model. Currently, it is expanding its team in Ukraine to implement projects and, in addition to the specialists already hired, continues to form a powerful team.
During the year, the company plans to open new vacancies according to current business needs.
Pindrop’s core business is authentication, fraud detection, and deepfakes in voice calls. Pindrop uses artificial intelligence to detect anomalies in voice characteristics and combat fraudulent calls using fake voices.
The company is based in Atlanta and is backed by leading technology investors. In particular, in July 2024, Pindrop raised $100 million in funding from Hercules Capital, Inc. to develop deepfake detection technologies. At that time, it was known that the company employed about 250 people and that it had raised $234.77 million in venture capital from investors including Vitruvian Partners, CapitalG, IVP, and Andreessen Horowitz.
Pindrop holds 270 patents in voice and AI technology. The company has analyzed 5.3 billion calls, helped prevent $2 billion in fraud, and detected 104 million fraudulent calls.
