Top 50 Ai Risk Scoring Platform

Pallav provides an AI‑driven risk evaluation platform that scores unsecured consumer loan applications in real time via a low‑latency API. By combining proprietary alternative data with machine‑learning models, it delivers approval and pricing decisions within seconds, enabling banks, auto lenders and fintechs to increase approval volumes while keeping risk exposure stable.

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.

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.

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.

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.

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.

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.

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.

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%.

Rich Data Co (RDC) provides an AI decisioning platform that utilizes machine learning and alternative data to enhance credit risk assessment for business and commercial lenders. By delivering precise insights into borrower behavior, RDC enables lenders to improve approval rates, reduce credit losses, and ensure regulatory compliance throughout the lending lifecycle.

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.

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.

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.

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.

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.

Virtue AI provides a risk assessment platform that employs rigorous red teaming techniques to evaluate AI models and systems for cybersecurity vulnerabilities, safety threats, and compliance with regulatory standards. By ensuring safe and secure deployment, the platform enables enterprises to leverage AI technologies while minimizing operational risks and maintaining user trust.

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.

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.

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.

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.

Resilinc offers an agentic AI platform that consolidates global risk intelligence into a chat‑driven interface, providing real‑time monitoring of over 100 million multilingual news feeds and automated detection of supply‑chain threats across all tiers. The solution delivers multi‑tier supplier visibility, predictive disruption alerts, compliance scoring, and AI‑generated mitigation and sourcing recommendations, enabling procurement and resiliency teams to manage risk continuously without disparate tools.

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 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.

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.

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.

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.

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.

Edge Focus operates a fintech platform that utilizes machine learning and AI to deliver precise credit risk pricing based on over 100 billion data points. This technology addresses the challenge of inaccurate credit assessments, ensuring fair and unbiased access to capital for borrowers.

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 vendor risk assessment platform that utilizes AI-driven interactive questionnaires and data analytics to streamline enterprise risk management. By replacing traditional spreadsheets and emails, the platform enables organizations to efficiently evaluate their internal and external risk profiles with real-time tracking and actionable insights.

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.

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.

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.

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.

Adapt Ready's risk intelligence platform utilizes big data analytics, artificial intelligence, and machine learning to aggregate and analyze structured and unstructured data, providing commercial insurers with actionable insights into risk exposures. This enables insurers to price risks more accurately, enhance underwriting efficiency, and identify hidden exposures, ultimately improving profitability and growth.

The startup operates an artificial intelligence-based data analysis platform that builds predictive models for credit analysis and fraud detection. By utilizing advanced predictive analytics, the platform helps companies minimize defaults and fraud by identifying high-risk customers and enhancing data-driven decision-making.

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.

KomplyAi is an AI risk management platform that automates global governance documentation, risk assessment, and compliance for AI projects, integrating seamlessly into existing workflows. It addresses the complexities of regulatory compliance in high-risk sectors by providing automated risk analysis and generating necessary legal documentation to ensure trust and safety in AI deployment.

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.

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.