Trully

Trully

Offers a collective intelligence identity enrichment platform. Learn more

Launch date
Employees
Market cap
-
Enterprise valuation
€15—22m (Dealroom.co estimates Nov 2022.)
Mexico City Mexico (HQ)

Financials

Estimates*

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Revenues, earnings & profits over time
USD2023
Revenues<1m
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DateInvestorsAmountRound
*

$4.1m

Seed
*

N/A

Acquisition
Total Funding€3.7m

Recent News about Trully

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More about Trullyinfo icon
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Trully.ai is a startup that operates in the financial technology sector, providing a unique solution to combat digital fraud. The company offers a collaborative network, known as the Digital Fraud Bureau, which connects various partners in real-time to identify and report fraudulent activities. The Bureau has a database of over 9 million identities, helping to identify fraudsters previously flagged by other institutions.

Trully.ai's primary clients are businesses looking to enhance their Know Your Customer (KYC) processes. KYC is a standard practice in the financial industry that involves verifying the identity of clients to prevent fraud. Trully.ai integrates seamlessly with existing KYC systems, enhancing them without replacing them. This makes the onboarding process simpler and more robust for businesses.

The company also generates a fraud and credit risk score for applicants, which can help businesses increase their approval rates and reduce overdue accounts. This is achieved through the use of machine learning models that are constantly updated with millions of data points each year.

Trully.ai's business model is likely based on a subscription or usage fee, where businesses pay to access their services and database. The company claims that their systems have helped reduce fraud rates by 99.3% and save up to $4.3 million in a year, making it a valuable investment for businesses looking to protect themselves from digital fraud.

In summary, Trully.ai is a fintech startup that provides a collaborative network to combat digital fraud, integrates with existing KYC processes, and uses machine learning to generate fraud and credit risk scores.

Keywords: Fintech, Digital Fraud, Know Your Customer (KYC), Fraud Prevention, Credit Risk, Machine Learning, Onboarding, Subscription Model, Data Analysis, Collaborative Network.