Top 50 Ai Risk Scoring

This startup provides an AI-powered "Trust Score" that assesses counterparty risk. The score helps businesses understand and mitigate potential risks associated with their business partners.

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.

Provides an AI-powered risk decisioning platform that integrates machine learning models and behavioral analytics to manage onboarding, fraud, credit, and compliance risks in real time. By reducing false positives, accelerating approval rates, and enabling autonomous risk management, it helps fintechs and banks streamline operations and enhance security.

Paladin Cloud offers an open-source Security-as-Code platform that utilizes AI-powered risk scoring and a unified vulnerability management system to provide real-time visibility into cloud security risks. By prioritizing critical vulnerabilities and misconfigurations, the platform helps security teams reduce alert fatigue by up to 50% and lower their overall risk profile by up to 25%.

The startup offers an AI-powered credit risk platform that utilizes machine learning algorithms to analyze extensive datasets, enabling lenders to make informed credit decisions. This technology allows businesses to efficiently build, validate, and deploy credit models throughout the entire credit lifecycle, enhancing accuracy in assessing customer credit performance.

Provides an AI-driven platform that analyzes multimodal data—such as images, documents, and financial statements—to generate real-time credit scores and predictive models for small and medium-sized enterprises. This enables businesses to assess credit risk, optimize customer segmentation, and automate decision-making processes, reducing defaults and improving financial performance.

Trustible offers a cloud‑native AI governance platform that centralizes AI use cases, models, data lineage, and vendor information while automatically assessing performance, security, privacy, ethical, and legal risks against frameworks such as the EU AI Act, NIST AI RMF, and ISO/IEC 42001. The solution provides quantitative risk scores, AI‑driven mitigation recommendations, configurable cross‑functional workflows, and continuous monitoring with audit‑ready reporting for enterprise AI product, legal, compliance, and security teams.

Anzenna offers an agentless AI solution that provides deep visibility and continuous multi-factor risk scoring to detect insider threats. By automating remediation processes, Anzenna reduces operational overhead and enhances incident response times, addressing the significant issue of insider risk in organizations.

Scrub.io offers an AI-powered fraud detection engine that uses machine learning and real-time risk scoring to prevent account takeovers, payment fraud, and identity theft. The platform analyzes transaction and user behavior through device fingerprinting and behavioral analytics to provide instant risk assessments and enable tailored fraud prevention strategies.

The startup has developed an AI-based algorithm that predicts the risk of cerebral aneurysms by categorizing individuals into five distinct risk levels. This technology provides critical risk assessment tools for screening agencies, enhancing their ability to identify patients at varying levels of risk.

Raven Risk AI utilizes machine learning algorithms to automate credit risk assessments, significantly reducing the time and resources required for data collection and analysis. This technology addresses the inefficiencies of manual credit approval processes, enabling lenders to make faster, more informed decisions based on real-time insights.

The company provides an AI-driven decision intelligence platform that unifies data ingestion, advanced analytics, and automated risk scoring for credit underwriting, transaction fraud detection, and regulatory compliance. Its core includes ApexDB, a Redis‑compatible distributed key‑value store delivering up to 1 M TPS with sub‑millisecond latency, and a privacy‑computing layer for secure multi‑party data collaboration. The solution is accessed via REST APIs, language‑agnostic SDKs, and a web dashboard, and can be deployed on‑premise, private cloud, or SaaS for banks, fintechs, insurers, e‑commerce platforms, and smart‑city operators.

martini.ai provides real-time credit risk assessments for over 3 million private companies using AI-driven analytics to monitor credit portfolios daily. This technology enables financial institutions to identify potential defaults early, optimize lending strategies, and enhance revenue by targeting untapped lending opportunities.

Bureau provides an AI-powered platform for unified risk decisioning, consolidating diverse data sources to enable real-time assessment of customer risk. It streamlines compliance, fraud, and credit management by offering a 360-degree view of customer interactions and automating risk decisions.

Copla provides an AI‑enhanced governance, risk, and compliance platform that automates evidence collection from cloud services, vulnerability scanners and user uploads, and continuously monitors controls against more than 30 regulatory frameworks. The solution includes risk scoring, workflow automation, vendor risk management, and a fractional CISO‑as‑a‑Service to keep organizations audit‑ready and reduce manual effort. It serves SMEs to large enterprises in regulated sectors such as fintech and insurance.

The startup develops AI-driven credit scoring software that utilizes alternative data from gig economy work histories to generate personalized credit scores for individuals. This platform enables gig workers and freelancers to access pre-approved loans and financial services, while helping banks acquire new customers and manage risk effectively.

Zuru is a digital platform that integrates risk management, protection, and on-demand insurance for the logistics sector, utilizing AI-driven scoring and data analytics. The platform enables logistics businesses to manage risks and secure coverage efficiently, addressing the complexities of insurance and risk administration in a fragmented industry.

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.

Coalition offers an active cyber insurance solution that integrates coverage with continuous security monitoring, AI‑driven risk scoring, and automated remediation recommendations. The platform combines a risk‑management console, Managed Detection & Response, and on‑demand incident response services to lower breach incidence and speed claim handling for mid‑size to enterprise organizations.

Canopi provides an AI‑driven platform that centralizes employee credential data, automates renewal alerts and compliance monitoring, and delivers real‑time risk analytics. The solution integrates with HR, ERP and EHR systems via secure APIs, offers customizable dashboards and predictive risk scoring, and includes enterprise‑grade encryption for regulated large organizations.

Mend offers an AI‑native application security platform that consolidates static code analysis, software composition analysis, container security, and AI‑specific risk assessment into a single service. The platform continuously scans source code, dependencies, container images, and AI assets, providing AI‑enhanced severity scoring, automated remediation suggestions, and policy enforcement via a unified dashboard and APIs for CI/CD, IDE, and DevSecOps integration. It enables enterprise development and security teams to achieve end‑to‑end visibility and faster remediation across the software supply chain.

The startup develops a voice analytics system that utilizes AI to assess risk in speech by analyzing vocal responses for indicators of fraud. This technology enables organizations in sectors such as insurance and banking to achieve rapid risk assessment, reduce fraud incidents, and enhance operational efficiency.

Remedio is a configuration‑focused device hardening platform that continuously monitors Windows, macOS, Linux, cloud, and IoT endpoints, maps dependencies, and automatically enforces security policies. It provides one‑click remediation with instant rollback, AI‑driven risk scoring, and automated compliance mapping to CIS, NIST, and MITRE, accessible through a unified dashboard and API for enterprise security and IT operations teams.

The startup offers an assessment platform that identifies and evaluates risks associated with artificial intelligence projects, ensuring compliance with quality requirements and governance standards. By providing tailored risk management strategies, the platform enables companies to mitigate potential issues and streamline AI deployment processes.

DataRisk is an online predictive modeling platform that utilizes advanced algorithms to assess credit risk, optimize collections, and detect fraud for financial institutions. By providing accurate risk assessments and actionable insights, the platform enhances decision-making and reduces financial losses for its users.

Prometheus Data provides AI-powered cross-border risk assessment solutions that deliver real-time analysis of large data sets for credit risk and background checks. By offering tailored recommendations, the platform enhances operational efficiency and revenue generation for financial institutions navigating global markets.

This platform provides enterprises with automated compliance and network monitoring through an AI-powered system. It offers network behavior monitoring, risk scoring, and integrated cybersecurity features to protect against ransomware and ensure HIPAA compliance.

Flowcast provides an AI platform that utilizes patented machine learning algorithms to create predictive models for assessing credit risk in businesses. By accurately predicting loan repayment ability and delinquency risk, Flowcast enables financial institutions to make informed credit decisions, even for businesses with limited credit histories.

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.

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.

Sigma360 provides a cloud-native risk decisioning platform that utilizes AI and a vast risk intelligence database to screen and monitor client relationships for compliance and reputational risks. The platform enhances risk mitigation by delivering real-time data insights, reducing false positives by 75%, and enabling organizations to efficiently manage regulatory requirements across multiple jurisdictions.

Quantum Equilibrium utilizes a quantum-resistant algorithm and AI-Life Score technology to analyze credit risk and evolving financial dynamics through dark data analytics. This approach enhances due diligence and fraud detection, providing real-time insights for safer funding decisions in a rapidly changing economic landscape.

Essert is a platform that utilizes automated Responsible AI (RAI) scoring and continuous monitoring to ensure compliance with cybersecurity regulations for AI systems. It helps organizations mitigate risks and maintain accountability, preventing potential fines and lawsuits associated with non-compliance.

Lumenova AI is an enterprise platform that automates AI risk assessment, governance, and compliance through a robust evaluation engine and monitoring tools. It enables organizations to manage AI-related risks and ensure adherence to regulatory standards, addressing the growing need for responsible AI practices in an increasingly regulated environment.

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.

Vespia provides an AI-powered platform for Know Your Business (KYB), Know Your Customer (KYC), and Anti-Money Laundering (AML) compliance, enabling companies to verify legal entities and monitor risks across over 300 jurisdictions. By automating identity verification and risk scoring, Vespia reduces onboarding time to under 30 seconds while minimizing fraud and regulatory risks.

The startup offers a cloud-based digital screening platform that utilizes machine learning classifiers, dynamic risk scoring, and geolocation techniques to enhance financial crime prevention. By significantly reducing false positives, the platform streamlines know-your-customer and anti-money laundering processes, ensuring safer customer onboarding for financial institutions.

Seenity provides an AI-driven risk assessment platform that integrates internal and external data sources to deliver real-time insights and predictive modeling tailored to organizational needs. This technology enhances decision-making accuracy and operational efficiency while maintaining data security within a distributed architecture.

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.

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.

ARGO is an AI platform that quantifies the total risk of any company by analyzing financial and operational data in real-time. This technology provides businesses with immediate insights into their risk exposure, enabling informed decision-making and risk management.

Safe-esteem provides a personal safety barometer that utilizes big data analytics and artificial intelligence to deliver real-time risk assessments and safety scores. This technology enables users to make informed decisions about their health and security, while receiving timely alerts about significant changes in their safety conditions.

RedCarbon provides AI-driven cybersecurity solutions that automate threat analysis and incident management by emulating human analysts' reasoning processes. This technology enhances the efficiency of security operations centers (SOCs) and improves decision-making through contextual risk scoring and continuous learning.

Emerging Trajectories utilizes large language models to automate the monitoring and analysis of geopolitical risks, providing businesses with tailored risk scores, structured data sets, and daily reports. By aggregating trusted data sources, the platform enhances decision-making processes in complex geopolitical environments, enabling companies to prioritize strategic actions effectively.

FCX provides AI-powered solutions that assess risk in business relationships, helping companies prevent fraud and financial losses. Their AI models, including FCX Trust Advisor and FCX Score, analyze individuals and businesses to calculate the probability of scams and fraud, supporting secure client and supplier interactions.

Orion provides real-time asset-level risk tracking for buildings and sites by utilizing artificial intelligence to analyze millions of data sources and generate predictive financial risk scores. This technology enables users to quantify potential financial losses per asset, facilitating informed decision-making during crises.

HAPI develops a decentralized security protocol that utilizes AI and machine learning to provide on-chain risk scoring and activity monitoring for cryptocurrency transactions. This technology enables DeFi platforms to detect and prevent malicious activities, such as money laundering and compromised wallets, thereby enhancing cybersecurity and protecting users' assets.

CrediArc offers an AI-driven platform that utilizes real-time data from millions of sources to provide precise credit risk assessments for commercial finance teams. This technology replaces outdated tools, enabling users to gain actionable insights that enhance decision-making and drive growth.

The startup offers a credit risk assessment platform that utilizes machine learning algorithms and data enrichment techniques to enhance lenders' credit modeling processes. By enabling financial institutions to efficiently build, customize, and validate credit scoring models, the platform reduces the time required to deploy improved models in the market.

Incharge provides an AI-powered scoring engine that ingests transactional and operational data from e‑mobility and ride‑hailing platforms to evaluate riders in real time on payment performance, safety incidents, and effort metrics. The platform delivers early‑warning alerts and automates follow‑up actions such as notifications, warnings, and training prompts through configurable workflows, accessible via REST APIs and a web dashboard for risk monitoring and rule management.