Top 50 Ai Risk Management in Europe

The startup offers a cloud-based risk assessment and management platform that enables organizations to evaluate cybersecurity risks, manage incidents, and generate performance reports. By providing customizable dashboards and decision support tools, the software enhances cybersecurity governance and helps businesses mitigate vulnerabilities effectively.

The startup develops a financial analytics platform that employs artificial intelligence to analyze specific target assets, focusing on time horizons and projection metrics to forecast market movements and investment risks. This technology enhances portfolio management and risk assessment for asset managers, enabling more informed investment decisions.

The startup offers an automation-led compliance platform that utilizes dynamic risk modeling to provide real-time risk monitoring and alert resolution. This technology enables organizations to transition from periodic risk assessments to continuous oversight, optimizing compliance strategies while minimizing manual tasks and vendor navigation.

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.

Agio Ratings offers a platform for financial institutions to manage digital asset risk with empirical default risk forecasts for trading venues and near real-time monitoring of on-chain and off-chain risk factors. This enables data-driven insights and informed decisions for counterparty and portfolio risk management.

The startup provides a software platform for financial institutions that utilizes artificial intelligence to automate inventory management, data processing, and the generation of regulatory-compliant documentation. This technology enhances operational efficiency and lowers costs by continuously monitoring data changes and performance metrics.

Naaia provides an AI management system (AIMS) that ensures compliance with global regulations throughout the lifecycle of AI systems, including monitoring risks and facilitating communication among stakeholders. The platform integrates regulatory requirements into actionable plans, enabling organizations to maintain compliance and manage risks effectively.

Provides an AI governance platform that enables enterprises to manage risks, ensure compliance, and conduct audits across AI systems. The platform addresses challenges such as bias detection, regulatory adherence, and third-party vendor management by offering tools like real-time legislation tracking, AI model audits, and robust governance frameworks.

Intelligent AI provides a multi-layered platform that utilizes location intelligence and predictive algorithms to deliver real-time risk insights for property insurance and local government. This technology enables insurers and brokers to accurately assess and price risks, enhancing decision-making in the face of complex global challenges.

Mindgard Ltd provides an AI security platform that identifies and mitigates vulnerabilities in AI models through automated security testing and continuous monitoring for adversarial attacks. This solution enables enterprises to enhance their AI security posture while integrating seamlessly with existing cybersecurity tools, ensuring efficient risk assessment and resource optimization.

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 offers a cloud-based human risk management platform that automates simulated phishing attacks and training programs for security teams. By integrating with workplace applications, the platform enables organizations to quantify and mitigate cyber risks associated with employee behavior.

Enzai is an AI governance platform that provides compliance assessments and model monitoring to help organizations navigate regulatory requirements and mitigate reputational risks associated with AI systems. By centralizing AI system data and automating compliance processes, Enzai enables businesses to efficiently manage their AI governance and maintain customer trust.

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.

Cybervize offers an AI-driven platform for autonomous cyber risk management, integrating security processes and compliance automation to enhance organizational cybersecurity. The platform prioritizes the protection of critical business assets by providing tailored risk assessments and proactive security measures, reducing time spent on security management by 30-50%.

Resistant AI develops advanced algorithms to safeguard AI systems from adversarial machine learning attacks and targeted manipulation. Their technology enhances the integrity of AI models, reducing the risk of fraud and ensuring reliable decision-making in critical applications.

Risk Ledger is a vendor risk management platform that connects and visualizes the entire supply chain, enabling real-time identification of concentration risks and emerging threats. By providing a dynamic network model and continuous monitoring, it enhances the security posture of organizations and streamlines supplier compliance assessments.

The startup develops artificial intelligence governance software that provides certifiable and tamper-proof auditing for organizations utilizing AI models. This technology ensures compliance with regulatory requirements, enabling businesses to implement AI solutions with confidence.

QuantPi provides an AI Trust Platform that automates the testing and auditing of AI models for explainability and robustness. This platform enables organizations to ensure the reliability and compliance of their AI systems, facilitating informed decision-making and minimizing operational risks.

Inspeq offers a governance platform that utilizes over 50 metrics and guardrails to evaluate and optimize the performance of generative AI applications, ensuring compliance with AI GRC standards. The platform addresses issues of reliability, safety, and bias in AI systems, significantly reducing development costs by 70% and improving model performance by 90%.

Traze offers an AI compliance platform that automates adherence to regulations like the EU AI Act and ISO/IEC 42001 by centralizing evidence collection and real-time monitoring of audit requirements. This solution minimizes regulatory risks and enhances corporate reputation by ensuring continuous compliance and transparency in AI governance.

RiskSmart is a risk management platform that centralizes risk registers, compliance documentation, and policy management for SMEs, eliminating the inefficiencies of spreadsheets and manual processes. By automating the risk cycle, it enhances visibility and collaboration, allowing businesses to save up to 120 days annually on reporting and maintain compliance with regulatory requirements.

Giskard provides an automated testing platform for AI models that identifies performance, bias, and security issues, ensuring compliance with the EU AI Act. By streamlining the testing process, Giskard reduces the time spent on manual evaluations and enhances the consistency of AI quality and security practices across enterprise deployments.

The startup provides commercial insurance and risk solutions for fast-growing companies facing evolving risk exposures. By utilizing workflow automation and industry-specific AI technology, it ensures insurance programs remain up-to-date while continuously identifying and monitoring new risks for improved collaboration among clients, advisors, and insurers.

The Enhanced Manager utilizes artificial intelligence to optimize managerial decision-making by analyzing performance metrics and team dynamics in real-time. This technology addresses inefficiencies in resource allocation and team productivity, enabling organizations to enhance operational effectiveness and drive better outcomes.

The startup provides specialty cyber underwriting services that utilize augmented intelligence to enhance policy and portfolio pricing accuracy. By integrating human expertise in cybersecurity with AI-driven modeling and simulation, the company enables insurers and reinsurers to gain insights into potential attacker targets and evaluate existing defenses.

The startup develops vulnerability management software that provides detailed risk assessments and prioritizes remediation based on the potential business impact of identified threats. This enables organizations to effectively detect vulnerabilities across their entire infrastructure and streamline the process of addressing security errors.

Themis AI offers Capsa, a model-agnostic platform that integrates uncertainty quantification into any AI model, enabling developers to identify and correct unreliable outputs. By providing real-time risk assessments, Capsa enhances AI quality assurance and compliance, reducing costs associated with AI deployment and accelerating time to market.

Saidot is a governance platform that provides tools for compliance with AI regulations, including the EU AI Act, by enabling organizations to document and implement necessary regulatory requirements. The platform also offers a risk library to identify and mitigate AI-related risks, ensuring the ethical and safe deployment of AI systems.

Lexverify utilizes artificial intelligence to monitor and analyze electronic communications in real-time, identifying potential legal, compliance, and cyber risks. This technology enables organizations to maintain regulatory adherence and protect their reputation by preventing costly violations before they occur.

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.

Alyne offers a cloud-based governance, risk, and compliance platform that utilizes AI to automate risk identification, qualification, and compliance management for organizations. By providing real-time visibility and analytics, Alyne enables businesses to efficiently monitor and mitigate risks while ensuring adherence to regulatory requirements.

Provides an AI governance platform that automates compliance with global standards like the EU AI Act, ISO/IEC 42001, and NIST AI RMF, integrating regulatory controls into AI development and deployment processes. This platform helps organizations identify and mitigate AI-related risks, ensuring ethical practices and reducing the potential for fines or reputational damage.

Deeper Insights provides a platform called Floating Point that optimizes the five key stages of AI project delivery, including model selection, data preparation, training, integration, and management. The company enables businesses to leverage AI effectively while ensuring ownership of intellectual property and adherence to responsible AI standards, addressing the challenges of deploying scalable and reliable AI solutions.

This startup develops risk management software for the construction industry, utilizing artificial intelligence and augmented intelligence for document analysis, risk assessment, and incident prediction. By digitizing compliance processes, the software helps clients minimize errors and enhance decision-making efficiency.

This startup provides an AI-driven platform that enhances cyber security by utilizing machine learning algorithms for real-time threat detection and automated incident response. It helps businesses mitigate risks associated with data breaches and ransomware attacks, ensuring robust protection of sensitive information.

The startup provides software solutions for risk management and analytics focused on supply chains and third-party ecosystems. By utilizing advanced technologies for risk identification and analysis, the company helps clients enhance their resilience against digital threats and improve compliance practices.

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 provides a procedural cybersecurity platform that creates realistic environments for testing AI capabilities and security measures. By managing access to AI resources, it helps organizations mitigate risks associated with misuse and unauthorized access while enhancing the security of their digital infrastructure.

RevAIsor provides a trustworthy AI platform that integrates ethical governance frameworks and synthetic data testing specifically for the financial services sector. This approach addresses the critical issues of compliance and transparency in AI systems, reducing risks associated with unprincipled misconduct and enhancing operational efficiency.

RiskApp is an AI-powered platform that unifies fragmented application security data to provide real-time risk insights and compliance monitoring. It enables organizations to manage vulnerabilities, optimize security investments, and make data-driven decisions to minimize application security risks.

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.

Advai provides third-party assurance and monitoring for AI systems by conducting rigorous stress tests to identify failure modes such as bias and data leakage. This enables organizations to manage AI risks effectively and comply with regulatory requirements, ensuring safe deployment in critical environments.

The startup is creating the world's first all-in risk engineering solution that integrates advanced analytics and predictive modeling to assess and quantify risks across various sectors. This technology enables organizations to make informed decisions by providing a comprehensive view of potential vulnerabilities and their financial impacts.

C-Risk utilizes the FAIR™ methodology to quantify cyber risks in financial terms, enabling organizations to assess the probable frequency and magnitude of potential loss events. This approach allows businesses to prioritize cybersecurity investments and demonstrate the ROI of their initiatives, addressing the challenge of aligning cybersecurity strategies with overall business objectives.

RENrisk provides a software solution, IPlant+IRIS, that utilizes real-time risk indicators and predictive analytics to identify and localize potential operational hazards in industrial environments. This technology enhances safety and efficiency by enabling proactive interventions, thereby reducing the likelihood of accidents and optimizing system performance.

Complyance is a GRC automation platform that utilizes responsible AI to streamline compliance, risk, and vendor management processes for enterprises. By reducing manual workloads by up to 70%, it enables organizations to focus on proactive risk reduction and maintain a centralized, configurable compliance framework.

Sub Capitals provides an AI as a Service (AIaaS) platform that utilizes machine learning algorithms to deliver real-time risk assessment and management for investment portfolios. By offering tailored AI signals, the platform helps financial institutions minimize losses and enhance profitability in a rapidly changing market.

Avido offers an AI quality and compliance platform for financial institutions, enabling proactive risk management throughout the AI lifecycle. The platform automates governance and monitoring to ensure AI systems meet regulatory requirements and operational standards, accelerating confident AI deployment.

The startup focuses on developing frameworks for responsible artificial intelligence that ensure ethical data usage and algorithmic transparency. By implementing robust governance protocols, they mitigate risks associated with bias and privacy violations in AI applications.