Top 50 Ai Risk Management - Pre Seed

Adeptiv AI provides a unified platform for automated AI governance, risk management, and compliance tracking. The system manages the entire AI lifecycle from inventory to real-time risk detection and documentation. This solution helps enterprises adhere to evolving global regulations like the EU AI Act and NIST AI RMF in an auditable manner.

Provides an AI-driven Risk Lifecycle Management platform tailored for construction projects, enabling contractors, owners, and developers to identify, assess, compare, and manage risks throughout the project lifecycle. The platform integrates into existing workflows, offering data-driven insights and actionable recommendations to reduce costs, improve efficiency, and minimize project delays or disputes. By replacing opaque AI models with transparent, source-backed analysis, it empowers teams to make informed decisions and build better projects.

AI Risk, Inc. provides a software platform that enables secure deployment of third-party large language models (LLMs) in private cloud environments, ensuring compliance with US and EU AI regulations. The platform addresses the critical need for cybersecurity and risk management in AI systems by identifying security flaws and biases while facilitating the creation of custom AI agents linked to organizational data sources.

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.

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%.

Provides a risk management platform for autonomous machines in manufacturing and logistics, using AI-driven predictive analytics to identify, assess, and mitigate operational risks. By reducing machine downtime, minimizing operator errors, and streamlining manual processes, it helps businesses avoid up to 8% annual revenue loss and cut recovery times by 30%.

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.

Mileva.ai provides AI risk assessment and management tools that enable organizations to identify vulnerabilities in their AI systems and ensure compliance with evolving regulations. By quantifying AI risks and offering tailored mitigation strategies, Mileva.ai helps businesses minimize potential security incidents and avoid costly penalties.

Profylr provides an AI-powered platform that analyzes risk and compliance data for financial institutions, offering actionable insights for improved decision-making. The system aggregates and interprets complex regulatory information, helping organizations proactively manage risk and ensure compliance.

The startup provides a platform for AI governance that automates model testing and compliance monitoring to ensure adherence to regulatory standards. By centralizing risk management and enhancing model explainability, it enables enterprises to deploy AI systems with confidence and accountability.

Uno provides an AI-driven Governance, Risk, and Compliance (GRC) co-pilot that automates the analysis and remediation of vulnerabilities across multi-cloud and hybrid environments. By leveraging large language models and deep reinforcement learning, Uno enhances incident response times by up to 30 times and scales operations tenfold, enabling organizations to manage IT and security risks more effectively.

ZeroRisk is a technology platform that utilizes artificial intelligence to identify assets and processes, assigning relevant threat catalogs and controls for real-time risk assessment and management. It enables organizations to automate compliance with regulatory frameworks like ISO 27001, enhancing efficiency in risk evaluation and incident management.

Deep Labs develops patented persona-based, context-aware decision-making and risk assessment systems using artificial intelligence. Their technology enhances decision accuracy and risk management for businesses by tailoring insights to specific user profiles and situational contexts.

Signal Fusion utilizes AI-driven behavioral analytics to enhance risk management for high-stress personnel in critical industries. The platform provides precise insights that help organizations mitigate risks and protect their resources effectively.

AuditMap offers an AI platform that analyzes internal and external documents to identify risks and trends, enhancing the effectiveness of audits and risk management processes. By utilizing Natural Language Processing, the platform enables organizations to pinpoint unmitigated risks and assess control effectiveness, streamlining compliance and improving audit outcomes.

Logical Commander develops real-time risk detection and management software that utilizes AI, big data processing, and machine learning to identify psychophysiological reactions indicative of organizational risks. Their platform enables businesses to monitor and mitigate risks effectively, achieving cost savings of up to 98% by preventing fraud, data breaches, and other security threats.

The startup offers an AI-powered platform that monitors and governs real-time data across financial, environmental, social, and governance (ESG) risk points, enhancing compliance and operational resilience. By anticipating risk scenarios and recommending mitigations, the platform enables organizations to effectively manage third and fourth-party relationships and streamline ecosystem risk management.

Saif Check provides AI risk assessments that evaluate compliance, security, and risk mitigation for AI projects without requiring dataset or code sharing. The platform enhances decision-making and budget allocation for businesses by identifying vulnerabilities and offering actionable remediation strategies, thereby reducing the likelihood of cyber attacks and ensuring regulatory compliance.

Lorykeet is a software platform that identifies and mitigates risks associated with AI and machine learning in the regulatory industry through advanced monitoring and management techniques. The platform addresses compliance challenges by providing organizations with tools to ensure adherence to regulatory standards while minimizing potential operational risks.

Safety Radars AI utilizes real-time multi-factor analysis powered by artificial intelligence to identify and evaluate operational risks, enabling organizations to protect their employees, assets, and reputation. The platform addresses the critical issue of workplace safety by providing immediate insights into potential hazards, significantly reducing the time required for risk assessment and response.

Mojo AI offers an AI‑powered safety management platform that centralizes observations, inspections, and pre‑task plans from digital, voice‑enabled, bilingual forms and automatically extracts data from photographed paper documents. The system applies real‑time AI risk scoring, provides live dashboards of permits and high‑risk work, and delivers contractor scorecards and intelligent document search to help construction and oil‑and‑gas firms monitor compliance and intervene before incidents.