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DateInvestorsAmountRound
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$440k

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Total Funding000k

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Revenues, earnings & profits over time
EUR20222023
Revenues00000000
EBITDA00000000
Profit00000000
% profit margin(20780 %)-
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Company filings or news article

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More about Sherpa
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Sherpa.ai is a pioneering startup specializing in Privacy Preserving Artificial Intelligence (AI). The company offers an enterprise-grade, privacy-compliant solution designed to facilitate data collaborations without compromising privacy. Sherpa.ai's flagship product is its Federated Learning platform, which allows organizations to build and train AI models using sensitive data from various sources—such as business units, customers, or partners—without actually sharing the data. This ensures that privacy is maintained and regulatory compliance is achieved.

Sherpa.ai operates primarily in the healthcare and financial sectors, where data sensitivity and regulatory compliance are critical. For instance, their technology can accelerate clinical trials by enabling data collaboration among different medical institutions without exposing patient data. Similarly, in the financial sector, it helps combat financial crime by allowing banks and financial institutions to collaborate on data without violating privacy laws.

The company follows a Software as a Service (SaaS) business model. This means they offer their Federated Learning platform as a subscription-based service, allowing clients to access and use the software over the internet. Revenue is generated through subscription fees, which can vary based on the level of service and the number of users.

Sherpa.ai's leadership team includes notable figures such as Chris Shipley, a technology analyst and strategist, and Doug Solomon, a former Chief Strategy Officer at Apple. Their expertise and vision have been instrumental in positioning Sherpa.ai as a leader in the field of Privacy Preserving AI.

In summary, Sherpa.ai is revolutionizing the way organizations handle sensitive data by providing a platform that ensures privacy and regulatory compliance while enabling valuable data collaborations.

Keywords: Privacy, AI, Federated Learning, SaaS, Healthcare, Finance, Compliance, Data Collaboration, Technology, Innovation.

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