Minervaai

Minervaai

Automating aml compliance and reducing the cost of compliance.

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DateInvestorsAmountRound
-investor investor investor investor investor investor

€0.0

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N/A

€0.0

round

N/A

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Total Funding000k

Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-306 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about Minervaai
Made with AI
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MinervaAI provides an anti-money laundering (AML) platform designed for financial institutions to enhance their compliance processes. The company's core technology utilizes artificial intelligence and deep learning models, trained by AML experts, to analyze billions of data points and identify potential risks with high precision. This approach significantly reduces the number of false positives, a common challenge in traditional AML screening, by up to 75%. The platform automates client risk assessments, offering a streamlined workflow that includes initial screening, ongoing monitoring, and reporting capabilities.

For its clients, which are primarily financial institutions, MinervaAI's service creates operational capacity and lowers the costs associated with due diligence and investigations. The system allows for configurable risk parameters, enabling firms to align the monitoring process with their specific risk appetite and policies. By providing more accurate and context-aware risk detection, the platform helps institutions to onboard new clients more efficiently and with greater confidence, reducing the need for manual reviews.

The business model is centered on providing this technology as a service (SaaS). Financial institutions subscribe to the platform to manage their AML obligations. The company makes money by charging for access to its platform, with potential partnership programs for dedicated training and support. The service is designed to be proactive, using real-time data to inform risk assessments and respond to events as they happen.

Keywords: AML, anti-money laundering, RegTech, compliance, risk management, due diligence, financial crime, artificial intelligence, machine learning, SaaS

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