Top 50 Ai Risk Scoring Platform - Series B

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 platform offers an AI-powered, cloud‑based engine that ingests drone, aircraft, and ground imagery to automatically generate per‑asset risk scores for transmission and distribution grids. It provides both Inspection‑as‑a‑Service and SaaS tools, including scenario simulations and API integration with GIS, ERP, and SCADA systems, enabling utilities to prioritize maintenance and capital planning.

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.

ForeSee Medical offers an AI-driven risk adjustment platform that enhances RAF scores and improves HCC coding productivity by up to 10x through advanced disease detection algorithms and natural language processing. The software integrates with existing EHR systems to streamline the coding process, ensuring accurate risk adjustment at the point of care and reducing administrative burdens.

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.

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.

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.

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.

ZestyAI provides AI-driven peril-specific risk models and property insights to enhance risk assessment for Property and Casualty insurers. The platform enables insurers to make informed underwriting and pricing decisions by delivering accurate data on property vulnerabilities, including wildfire and severe storm risks.

DTEX provides an AI‑driven insider risk management platform that combines data loss prevention, user‑entity behavior analytics, and activity monitoring into a single lightweight engine. The solution collects under 5 MB of anonymized telemetry per endpoint daily, generates real‑time risk scores and adaptive DLP policies, and integrates with tools like Splunk, CrowdStrike, and Microsoft 365 to enable rapid investigation and reporting for enterprise security teams.

Iris 6 is a cloud‑based AML platform that uses machine‑learning and natural‑language processing to automate name‑screening, transaction monitoring and alert resolution. It ingests heterogeneous data, applies dynamic risk scoring to cut false positives by up to 70 % and routes cases through configurable workflows via REST and gRPC APIs, helping banks and fintechs meet AML/KYC and sanctions requirements at scale.

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.

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.

Armis Centrix™ for VIPR Pro is a unified platform that aggregates and normalizes security findings from vulnerability scanners, cloud posture tools, code analysis, and application security solutions, then deduplicates, correlates, and enriches them with asset‑centric risk scores. An AI‑driven engine automatically assigns remediation tasks to the appropriate owners and integrates with ticketing systems like ServiceNow and Jira to orchestrate the full remediation workflow, while a centralized dashboard provides real‑time risk metrics and reporting for security and risk teams.

Federato's RiskOps platform utilizes AI and machine learning to streamline the underwriting process for insurance companies by automatically triaging submissions based on appetite and winnability. This consolidation reduces the number of systems used, enhances submission processing speed, and increases the hit ratio for high-value deals.

Mind Foundry has developed an AI platform that utilizes Bayesian inference and probabilistic numerics to create responsible AI solutions for high-stakes applications in sectors such as defense, infrastructure, and insurance. The platform addresses the challenges of risk and complexity by enabling organizations to design, test, and deploy AI systems that enhance decision-making and improve operational outcomes.

Patronus AI provides an automated evaluation platform that utilizes advanced evaluation models to monitor AI systems for issues such as hallucinations, prompt injections, and data leakage. The platform enables organizations to ensure the reliability and security of their AI products in production environments, significantly reducing the risk of AI failures.

Venminder provides an AI‑enhanced platform for third‑party risk management that centralizes onboarding, ongoing monitoring, and off‑boarding of vendors. It automates questionnaire creation, contract storage with expiration alerts, and continuously enriches vendor profiles with cybersecurity, financial, privacy and ESG intelligence, delivering risk‑rated reports and compliance dashboards for risk, compliance and procurement teams.

The startup offers a cyber risk assessment platform that employs patented artificial intelligence, actuarial data, and financial modeling to automate compliance tasks and quantify cyber risk in financial terms. This enables organizations to prioritize cybersecurity investments and enhance their risk management strategies effectively.

BioCatch offers a behavioral‑biometrics platform that continuously captures over 3,000 behavioral and device signals to generate real‑time risk scores for account‑opening fraud, account takeover, mule activity, and social‑engineering scams. Its cloud‑hosted analytics engine and investigative dashboard integrate with banks’ and fintechs’ fraud‑management and authentication workflows, delivering sub‑second decisions while maintaining a frictionless user experience.

Sedric is a risk and compliance platform that utilizes an AI-driven model to automate monitoring and policy execution for financial institutions, ensuring 100% coverage of customer interactions across multiple channels. By streamlining compliance workflows and providing real-time risk analysis, Sedric enhances operational efficiency and reduces the time spent on manual compliance tasks.

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.

Straiker provides an AI security platform that identifies and mitigates risks in AI applications. It helps organizations confidently deploy AI by addressing security and safety vulnerabilities within their AI systems.

Provides a cloud-based actuarial pricing and reserving platform that uses Transparent AI and machine learning to automate data preparation, risk assessment, rate planning, and optimization. This system reduces modeling time by up to 90%, improves pricing accuracy, and replaces outdated spreadsheet-based processes, enabling insurers to enhance combined ratios and streamline operations.

Adaptive Security provides a cloud‑native platform that generates AI‑driven security awareness training and hyper‑realistic phishing simulations across email, SMS, voice and attachment channels. It continuously scores employee risk, groups users for targeted micro‑learning, and offers executive exposure dashboards with API connectors to HRIS, identity providers and security tools. The solution enables security and compliance teams to detect, analyze and remediate AI‑powered social engineering attacks in real time.

Carpe Data provides predictive scoring and data products that enhance fraud detection and streamline claims processing for property and casualty insurance companies. By utilizing AI and advanced data science, the platform automates workflows, improving efficiency by up to 10 times and significantly reducing the time spent on data analysis.

Recorded Future provides an AI‑driven cyber threat intelligence platform that aggregates and normalizes data from over one million open‑web, dark‑web, technical and proprietary sources into a continuously updated Intelligence Graph®. The platform enriches security alerts with risk scores, indicators and contextual insights via Collective Insights®, and integrates through pre‑built connectors and APIs with SIEM, SOAR, EDR and other tools to enable real‑time detection, prioritization and automated response.

BforeAI's PreCrime™ platform utilizes predictive analytics and behavioral AI to autonomously identify and disrupt malicious online activities, such as phishing and impersonation, before they can impact businesses. By continuously monitoring and scoring suspicious domains, it provides proactive threat remediation, reducing the risk of financial and reputational damage.

Provides an AI governance platform that enables enterprises to inventory AI use cases, assess vendor risks, and ensure compliance with regulations like the EU AI Act and ISO/EIC 42001. The platform integrates with existing AI systems to automate risk management, generate audit artifacts, and operationalize contextual governance at scale, reducing regulatory and operational risks associated with AI adoption.

Juvo offers a Financial Identity as a Service that transforms anonymized mobile phone usage data—such as call records, recharge patterns, app usage, and location—into a proprietary credit risk score (YEScore). The score is delivered via secure REST APIs and SDKs for integration into banks, fintech lenders, and micro‑finance platforms, enabling real‑time underwriting for consumers without traditional credit histories. Continuous machine‑learning model updates incorporate repayment outcomes to improve predictive accuracy while maintaining GDPR‑compliant data handling.

Zest AI utilizes machine learning algorithms to enhance credit underwriting processes, enabling lenders to make more accurate risk assessments. This technology improves the efficiency of credit evaluations, reducing default rates and expanding access to credit for underserved borrowers.

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 a property and casualty insurance platform that utilizes actuarial models to generate custom Loss Predictions and Risk Scores for insurers. This technology enables companies to accurately assess claims frequency, severity, and loss costs, facilitating better consumer tracking and personalized product offerings.

Signal AI utilizes proprietary AIQ technology to analyze external data from traditional and social media across 226 markets and 75 languages, providing actionable insights for enterprise risk management and reputation enhancement. The platform enables businesses to proactively identify risks and opportunities, allowing leaders to make informed decisions based on real-time sentiment tracking and trend analysis.

The startup develops an artificial intelligence platform that utilizes risk modeling methodologies to analyze health data and generate accurate healthcare predictions. This enables health systems, physician groups, and life sciences companies to create targeted treatments and deliver appropriate services to specific populations.

The startup operates a digital lending platform that utilizes artificial intelligence and big data analytics to evaluate customer credit risk. By offering consumer and small business loans, it provides accessible financing solutions for small business entrepreneurs who face challenges in obtaining traditional loans.

CyberCube offers a data-driven cyber risk analytics platform that utilizes artificial intelligence to quantify cyber risks for insurance companies. By providing actionable insights and tailored solutions, it enables insurers to make informed risk management and transfer decisions in a rapidly evolving cyber landscape.

MindBridge is a financial risk discovery and anomaly detection platform that utilizes machine learning algorithms to analyze 100% of financial transactions, identifying errors and risks in real-time. The platform enables organizations to continuously monitor their financial data, preventing costly mistakes and enhancing the integrity of financial reporting.

Cytora is a risk digitization platform that utilizes large language models to streamline the intake and processing of commercial insurance risks, including new business, claims, and renewals. By automating workflows and integrating data sources, the platform enhances underwriting efficiency, resulting in over 100% productivity improvements for insurers.

Habitat Health offers a cloud‑native platform that consolidates EHR, claims, pharmacy and patient‑reported data via FHIR and HL7 APIs into a searchable repository. The system applies evidence‑based care pathways, AI‑driven risk stratification and real‑time alerts to coordinate interventions across clinicians, care managers and payers, while providing dashboards, analytics and a secure patient portal. It targets health systems, integrated delivery networks and payer organizations managing high‑risk, multi‑chronic populations.

Acin provides a data-driven platform that aggregates and normalizes operational risk control data, enabling financial institutions to benchmark their practices against industry peers. By utilizing proprietary AI, Acin enhances risk management efficiency and regulatory traceability, ultimately reducing costs and improving operational excellence.

Provides an AI-powered platform that analyzes construction contracts to identify critical risk provisions and automate compliance workflows. By standardizing risk assessment and delivering just-in-time contract insights, it helps project teams reduce disputes, streamline decision-making, and ensure adherence to contractual obligations throughout the project lifecycle.

JUMO provides a banking-as-a-service platform that utilizes artificial intelligence and machine learning to create accurate credit scores and tailored financial products for individuals without formal financial identities. By enabling real-time access to loans and savings at low operating costs, JUMO enhances financial inclusion for millions of underserved customers in emerging markets.

The platform aggregates data from CRMs, marketing automation, ad networks and intent providers into a single, real‑time account view. It normalizes and enriches this data, applies AI‑driven scoring to rank accounts, and automates multi‑channel outreach sequences with alerts and analytics dashboards. Integrations include pre‑built connectors, API, and SSO for secure enterprise deployment.

CASHe is a fintech platform that utilizes AI and machine learning to assess creditworthiness beyond traditional credit scores, enabling the rapid approval and disbursal of unsecured personal loans through a mobile application. The service addresses the financial needs of underserved millennials by providing instant access to loans ranging from ₹50,000 to ₹300,000 with flexible repayment options and minimal documentation.

Robust Intelligence provides an automated platform that evaluates AI models and data for security and safety vulnerabilities, ensuring compliance with standards like NIST and OWASP. The solution enables enterprises to deploy AI applications rapidly while mitigating risks associated with integrity, privacy, and availability violations.

Noma provides a unified AI security and governance platform that offers continuous visibility and control across the entire data-and-AI lifecycle. It automatically discovers AI assets, assesses security posture, prioritizes risks, and remediates vulnerabilities, defending against AI-specific attacks and ensuring compliance.

The startup has developed a risk modeling platform that employs scientific principles to analyze the root causes of property and casualty insurance claims, moving beyond traditional risk grouping methods. This platform provides granular, data-driven insights into potential risks based on event causality, enabling insurance companies to enhance risk management and refine underwriting accuracy.

LINE5 provides an AI-powered platform that automates contract review and risk assessment for legal teams. Its NLP and ML models extract key data, identify clauses, and monitor compliance, streamlining contract lifecycle management and reducing exposure to liabilities.

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.