Top 50 Ai Risk Scoring in Europe

This startup offers credit scoring solutions that leverage personality and behavioral data to assess creditworthiness for financial institutions. By providing an alternative to traditional credit metrics, they help lenders better evaluate risk and willingness to repay.

The startup develops financial risk management software that utilizes secure algorithms to analyze internal and external data for informed decision-making. Its platform enables B2B companies to predict bankruptcies and reduce financial losses by automating manual processes.

The startup develops an artificial intelligence platform that utilizes real-time data processing and anomaly detection to enhance credit and business decision-making. By providing a rapid search engine and intelligent data structuring, it enables businesses and entrepreneurs to make informed decisions efficiently.

Feedzai provides an AI-native RiskOps platform that combines real‑time fraud detection, AML monitoring, and identity verification across the customer lifecycle. The cloud‑based solution scores transactions using behavioral biometrics and device intelligence, offers a unified console for alert investigation and regulator‑ready reporting, and includes self‑service tools for custom model development.

Lemonero is an AI-driven fintech platform that provides revenue-based financing solutions to underfunded small and medium-sized enterprises (SMEs) through a white-label lending service integrated with payment service providers and eCommerce platforms. By utilizing advanced data analytics and machine learning for risk assessment, Lemonero enables merchants to access capital quickly, often within minutes, to support their growth and operational needs.

This Finnish-based company utilizes artificial intelligence and big data to create precise credit scoring models and customer segmentations for banks and lenders. Their solutions enhance financial inclusion by providing accurate assessments of creditworthiness, enabling better lending decisions globally.

Paperplane provides a credit risk management platform that utilizes real-time data analytics and AI to automate credit approvals and monitor customer behavior. This technology enables builders, plumbers, and timber merchants to reduce bad debt by over 43% within 90 days while accelerating customer onboarding processes to under 15 minutes.

The startup offers a cybersecurity platform that quantifies the risk of algorithm-driven attacks by calculating their likelihood and estimating potential financial impacts. It enables risk managers and security officers to simulate attacks and test applications, enhancing their ability to protect organizations from cyber threats.

The startup provides a predictive learning tool, the risk matrix, which utilizes data analysis and correlation techniques to enhance risk management for industries such as finance, insurance, and energy. This technology enables businesses to make informed decisions by identifying potential risks and improving operational efficiency through advanced data insights.

ComplyAdvantage is an AI-driven platform that utilizes machine learning algorithms to detect fraud and anti-money laundering risks in the banking, insurance, and cryptocurrency sectors. By reducing false positives by 70% and shortening onboarding times by 50%, it enhances compliance efficiency and mitigates financial crime risks.

The startup develops an AI-based data analytics platform that digitizes manual processes and creates a connected data ecosystem for insurers and credit providers. Its proprietary predictive algorithms provide early warning signals, enabling financial professionals to make informed risk and commercial decisions.

Optellum develops AI-based decision support software that utilizes imaging biomarkers to enhance the early detection of lung cancer. This technology enables clinicians to identify at-risk patients and optimize their management strategies, improving patient outcomes in lung health care.

The company provides a programmable bot‑verification platform that uses real‑time risk scoring, device fingerprinting, and behavior analytics to issue adaptive, low‑friction challenges only when automated activity is detected. Integration is offered via REST APIs and client SDKs for web, iOS, and Android, returning signed pass/fail tokens that can be incorporated into existing authentication or transaction flows. The service includes an analytics console for monitoring abuse and adjusting security policies, targeting e‑commerce, SaaS, and marketplace providers.

The startup develops regulatory technology that analyzes environmental, social, and governance (ESG) factors alongside socio-economic data to provide organizations with insights into financial crime risks. Its platform delivers intelligence on emerging threats and criminal techniques, enabling users to effectively manage compliance and risk mitigation strategies.

The startup develops risk modeling and analytics software that utilizes proprietary hurricane and earthquake models along with machine learning simulations to assess financing risks for offshore wind farms. This technology enables insurers and brokers to minimize insurance losses and optimize credit analysis, facilitating better financial support for renewable energy projects.

Auxmoney runs a digital peer‑to‑peer lending marketplace that connects German borrowers seeking unsecured personal loans with private investors. Its machine‑learning credit scoring and automated underwriting provide faster funding and competitive rates for borrowers, while offering investors real‑time portfolio analytics and risk‑mitigation tools.

Lyfery utilizes a proprietary scoring model that evaluates individual health behaviors through data analytics and machine learning to determine personalized life insurance premiums. This approach addresses the issue of standardized pricing in life insurance by offering fairer rates based on the insured's health choices, ultimately leading to significant cost savings for health-conscious customers.

ThoughtRiver offers an AI‑driven contract review platform that automatically applies redlines, extracts key clauses, and scores risk using its proprietary Lexible® model. The system supports bulk portfolio analytics, integrates with document repositories via secure APIs, and provides enterprise‑grade security for in‑house legal departments and law firms.

Wiserfunding offers an AI-driven platform that analyzes over 800 data points, including financial, non-financial, and macroeconomic information, to generate precise credit risk profiles for SMEs. This technology enables lenders to make fast and accurate lending decisions while enhancing their understanding of portfolio performance and compliance with regulations.

Homeppl provides a fraud detection and affordability analysis platform that transforms bank statements and financial documents into detailed consumer profiles, enabling more accurate credit decisions. By automating risk assessments, the technology helps businesses reduce fraud losses and approve a higher volume of applicants with confidence.

Elucidate provides a regulated, universal benchmark for quantifying and scoring financial crime risk through a no-code Risk Module Builder that integrates with existing data systems. This platform addresses the challenge of data overload and siloed information, enabling institutions to streamline compliance processes and make informed risk decisions efficiently.

Mitiga Solutions provides climate risk intelligence through high-performance computing, AI, and scientific modeling to assess exposure to climate hazards such as flooding, wildfires, and heat stress. Their technology enables businesses to evaluate risks in their asset portfolios and optimize resilience planning, ensuring compliance with regulatory requirements.

Atmantara provides AI-powered solutions for financial institutions to improve risk assessment, optimize strategies, and streamline operations. By connecting to existing data, Atmantara enables real-time, data-driven decisions for banks, insurers, and asset managers.

Trustfull provides a Digital Risk Intelligence Platform that utilizes machine learning algorithms and open-source intelligence to assess user risk through digital signals from phone numbers, emails, IP addresses, and devices. This technology enables real-time fraud detection and enhances user verification during onboarding, ensuring a secure and compliant experience for businesses globally.

Complytek provides AI-driven solutions for KYC, AML, fraud detection, and governance risk compliance, utilizing machine learning and advanced analytics to enhance regulatory adherence and risk management for financial institutions. Their platform automates client onboarding, transaction monitoring, and risk assessment, addressing the complexities of compliance in a dynamic regulatory environment.

The startup utilizes machine learning and graph theory to evaluate and rank millions of cyber attack paths based on their potential business impact. By providing tools for resistance scoring, attack path discovery, and compliance, the company enhances organizations' ability to withstand cyber threats and ransomware attacks.

Metomic provides data security software that automatically detects and secures sensitive information across various applications, including Google Drive and Slack, by utilizing real-time data discovery and access control mechanisms. The platform enables organizations to prevent data leaks and maintain compliance with regulations by empowering employees to self-remediate risks through instant notifications.

Yaspa offers real-time account-to-account payment solutions using open banking technology, enabling businesses to process secure transactions and refunds instantly without the need for cards or apps. By integrating KYC and risk management tools, Yaspa reduces fraud and accelerates customer onboarding, enhancing operational efficiency for businesses across the UK and Europe.

Dotfile provides a next-generation Know Your Business (KYB) solution that automates anti-money laundering (AML) procedures and identity verification for financial institutions. By leveraging AI-driven document analysis and real-time risk scoring, it enables businesses to efficiently verify customers globally, reducing onboarding time from hours to minutes while ensuring compliance with regulatory standards.

The startup offers a credit automation platform that utilizes open banking data, machine learning, and artificial intelligence to assess consumer credit scores and manage loan lifecycles. This technology enables partner banks and financial institutions to provide instant loans, addressing the inefficiencies in traditional credit assessment and loan approval processes.

Ribbit.ai is an AI-driven platform that utilizes predictive analytics to assess financial risk and validate bank account data, ensuring compliance and reducing fraud. By offering tailored financial products based on real-time insights, it enhances decision-making for consumers and financial institutions alike.

The startup offers an automated digital platform that enables life insurers to sell, underwrite, issue, and manage policies at significantly lower costs without the need for proprietary technology. Its proprietary scoring logic enhances online sales by optimizing auto-acceptance rates and minimizing customer drop-out, simplifying access to life insurance services.

BigProfiles is a no-code artificial intelligence platform that predicts customer behaviors, including purchase likelihood and churn risk, by integrating with existing CRM systems. This technology enhances sales strategies and customer retention efforts, resulting in measurable improvements such as a 66% increase in sales for cross-selling campaigns and an 11% reduction in churn rates.

The startup offers a risk intelligence platform that utilizes machine learning and artificial intelligence for real-time monitoring and analysis of financial and reputational risks. By providing insights and alerts, the platform enables financial entities to assess risks associated with transactions involving non-banking partners.

Feebris provides AI-guided tools that enable community and family care workers to capture and share precise health measurements, facilitating timely clinical decision-making for vulnerable patients. The platform enhances remote monitoring by integrating data from multiple medical devices, improving patient outcomes and reducing unnecessary emergency admissions.

RideScan provides an autonomous monitoring platform for robotics fleets, aggregating data from diverse robotic systems into a unified interface. The platform uses advanced AI algorithms for proactive anomaly detection and real-world safety assessment of robot performance. This results in actionable insights and risk scoring, enabling data-driven decisions to prevent downtime and enhance operational reliability.

Aira System employs artificial intelligence to automate data capture and risk assessment, providing over 400 verified data points for real-time fraud detection and lead generation. This technology enhances the accuracy of underwriting processes and minimizes financial losses for businesses in the insurance sector.

Dylogy provides a generative AI platform that processes and standardizes insurance documents, enabling insurers, reinsurers, and brokers to extract critical data and assess risk exposure efficiently. By automating document management and enhancing data quality, the platform reduces processing times and mitigates financial losses associated with compliance breaches and poor decision-making.

Serene provides proactive vulnerability management solutions utilizing AI and behavioral science to help institutions identify and support at-risk customers. The platform offers predictive insights through SereneScore and personalized support via SereneCare to ensure regulatory alignment and operational agility. This approach enables organizations to mitigate risk, enhance customer outcomes, and expand financial inclusion responsibly.

The startup offers a risk and compliance management platform that utilizes AI-driven continuous monitoring and customizable risk scoring to assess asset risks in the crypto market. It provides timely alerts for high-risk events and regulatory changes, enabling legal and compliance teams to efficiently track compliance and conduct investigations.

Finexos utilizes machine learning and behavioral analytics to provide real-time cash flow-based credit assessments, enabling lenders to accurately evaluate borrower risk without relying on traditional credit scores. This approach reduces default rates and expands access to credit for underserved individuals by identifying qualified borrowers who are often excluded by legacy metrics.

AGAM is an AI-driven financial platform that connects individuals and businesses to banks and financial institutions, enabling instant access to credit through a proprietary credit scoring engine. The platform addresses the challenge of assessing customers with limited credit history by providing hyper-personalized lending solutions that facilitate rapid decision-making and risk evaluation.

Assurified offers an AI-powered Risk Transformation Platform that quantifies risk exposure and optimizes insurance programs for multifamily real estate owners. This technology enables clients to maximize asset returns, reduce insurance costs, and enhance operational efficiency in managing insurable risks.

Polysurance is developing an AI-driven insurance telematics solution that utilizes 3D object detection, pseudo-LIDAR depth estimation, and driving behavior analysis to enhance risk modeling for insurers. This technology provides real-time feedback on driving performance, reduces fraudulent claims, and enables the creation of usage-based insurance products by integrating real-world driving conditions.

Virtual i Technologies utilizes data analytics and machine learning algorithms to assess potential liabilities in commercial insurance. The company enables businesses to quantify risks accurately, optimize insurance coverage, and achieve cost reductions while enhancing financial security.

The startup operates a financial crime intelligence platform that utilizes artificial intelligence and graph-based databases to identify potential risks in banking and financial institutions. By providing global screening and real-time risk assessment tools, the platform enhances the investigation of complex financial cases.

PixelPai provides a compliant infrastructure for secure, real-time transactions across digital and traditional financial systems, enabling content creators, IoT data providers, and businesses in gaming and sports to monetize their assets effectively. By utilizing blockchain technology and smart contracts, PixelPai ensures transparent management of royalties, data sharing, and cross-border payments, addressing the complexities of digital asset monetization and regulatory compliance.

The startup operates a behavior analytics platform that utilizes smartphone telematics to monitor driving patterns and detect risk factors such as aggressive braking and speed limit violations. This technology enables insurance and automotive companies to attract safer drivers through discounts and rewards, while significantly lowering claims costs and enhancing overall driver performance.

The startup offers a risk assessment platform that provides a self-assessment dashboard for businesses to evaluate their artificial intelligence projects. This tool enables teams to identify ethical pitfalls, data biases, and vulnerabilities, facilitating the mitigation and reporting of ethical risks associated with AI adoption.

Cybertonica provides a machine learning-based fraud prevention solution that automates real-time risk monitoring and decision-making using behavioral biometrics. The platform reduces fraud and chargebacks by up to 70% while increasing revenue by up to 25% through enhanced customer experience and tailored integrations.