Top 50 Ai Risk Management - Series B

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.

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 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.

The startup develops cyber intelligence software that detects hidden transaction tunnels and merchant fraud within e-commerce platforms. By enhancing transaction transparency, the software helps marketplaces and payment providers maintain compliance, protect their brand reputation, and avoid costly fines.

The startup is developing an AI and machine learning-based cybersecurity platform that enhances security workflows and optimizes resource allocation. This technology reduces the time and effort required for risk management in cybersecurity operations.

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.

The startup offers a supply chain risk management platform that integrates risk tracking with business performance indicators to ensure operational continuity. By utilizing heat maps to visualize risk profiles and identify critical hotspots, the platform enables companies to monitor and respond effectively to potential supply chain disruptions.

The startup has developed an artificial intelligence-based forecasting platform that utilizes a machine learning engine to analyze the largest dataset of construction schedules globally. This technology enhances accuracy in identifying project risks and uncertainties, enabling clients to make informed decisions throughout the construction process.

The startup offers a price risk management platform that utilizes government indices and financial algorithms to help businesses mitigate exposure to fluctuating commodity prices. By enabling effective hedging strategies, the tool protects profit margins from the impact of price volatility and rising input costs.

Inscribe provides AI Fraud Analysts that automate fraud detection and risk assessment for finance organizations, significantly reducing manual review times by 99%. This technology enables risk teams to efficiently verify applicant details and assess transaction risks, allowing them to focus on onboarding trustworthy customers.

This startup offers a financial crime intelligence platform that automates risk detection and mitigation. By integrating internal data with public information, the platform delivers real-time risk assessments, uncovers hidden threats, and reduces false positives.

The startup offers a security assessment platform that enables organizations to evaluate and monitor the security posture of third-party vendors throughout their lifecycle. By centralizing security and compliance documentation, the platform streamlines responses to security review requests, helping clients mitigate vendor-related risks.

Urbint is an AI platform that utilizes real-world data to predict and assess risks to workers and critical infrastructure, enabling proactive safety measures and damage prevention. By identifying high-risk scenarios in advance, Urbint helps energy, telecom, and infrastructure companies reduce incidents and protect their communities.

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.

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.

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.

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.

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.

This startup provides homeowners insurance services that utilize artificial intelligence and physics to assess wildfire risks and recommend property fortification strategies. By enabling property owners to enhance their resilience against wildfires while maintaining their property's unique characteristics, the company addresses the increasing threat of wildfire damage to homes.

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.

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.

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.

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.

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.

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.

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.

Straiker provides agentic AI security solutions to manage risk across AI agents and their associated infrastructure. The platform offers discovery, continuous red-teaming, and real-time runtime defense against threats like prompt injection and data leakage. This enables organizations to securely deploy and scale autonomous AI applications with necessary governance and visibility.

Gridmatic utilizes AI algorithms to optimize pricing and risk management for renewable energy assets in electricity markets. By enhancing profitability for energy generators and reducing costs for consumers, Gridmatic accelerates the transition to clean energy.

Fable Security provides an AI‑driven platform that aggregates security telemetry from IAM, endpoint, and email tools to generate continuous, explainable risk profiles for each employee. The system automatically segments users into risk cohorts and delivers real‑time, role‑specific video briefings, nudges, and chat prompts when risky behavior is detected, while a unified analytics dashboard lets security teams track intervention outcomes and prioritize remediation. Seamless integrations with identity providers, SIEMs, and EDR solutions enable deployment within existing enterprise security stacks.

MDI Health offers a personalized AI medication management platform that autonomously identifies high-risk patients and generates actionable clinical recommendations to mitigate medication-related risks. This solution addresses the $528 billion annual burden of drug-related morbidity and mortality by significantly reducing unnecessary prescriptions and hospitalizations, saving up to $2,000 per patient per year.

CybSafe provides AI-powered human risk management by using data and behavioral science to improve security behaviors. The platform delivers adaptive security awareness training, real-time guidance, and intelligent visibility into user risk across the technology stack. This approach automates interventions to shift habits, reduce cybersecurity incidents, and prove measurable risk reduction.

Prewave is an AI-driven risk and sustainability monitoring platform that analyzes millions of sources in over 50 languages to provide real-time alerts on risks affecting suppliers. The platform enables purchasing and supply chain managers to ensure compliance with regulations like the EU Deforestation Regulation and the German Supply Chain Due Diligence Act by identifying and mitigating potential disruptions in their supply chains.

The startup provides context-based insurance services utilizing AI-assisted modeling and real-time telematics to enhance risk prediction and mitigation for insurance companies. By implementing risk-based acquisition strategies, the company enables insurers to operate more efficiently and reduce operational costs.

Idelic is a driver management platform that centralizes fleet data and utilizes AI for early risk detection and targeted driver coaching. This approach addresses issues of data overload, operational inefficiency, and rising insurance costs, resulting in measurable reductions in accidents and insurance expenses.

Cranium is an AI security and trust platform that continuously monitors AI systems for vulnerabilities while ensuring compliance with internal and third-party AI regulations. By providing visibility into the entire AI supply chain, Cranium helps organizations mitigate risks and build trust without exposing sensitive data.

Sardine utilizes proprietary device intelligence and behavior biometrics to detect and prevent financial crimes such as identity fraud, payment fraud, and money laundering in real-time. The platform enables over 250 companies to automate risk decisioning and enhance compliance through tools for identity verification, AML monitoring, and case management.

Andalusia Labs develops internet-native economic infrastructure, creating foundational protocols that enable programmable GDP and AI-augmented experimentation. Its OpenGDP initiative provides a global base layer for programmable economic data, while TnkrAI offers tools for AI-driven tinkering and prototyping. The lab monetizes through licensing of its protocol stack, enterprise integrations, and custom engineering services for fintech, crypto, and AI applications.

Arthur is an MLOps platform that provides monitoring, management, and deployment solutions for machine learning models, including traditional and generative AI. It addresses risks such as data leakage and model performance degradation, enabling enterprises to optimize their AI operations while ensuring compliance and security.

Fortress provides AI-driven cybersecurity solutions that focus on third-party risk management, vulnerability identification, and cyber supply chain risk management for critical infrastructure and government agencies. By enhancing the security of vendor ecosystems and ensuring operational resilience, Fortress mitigates the risks posed by evolving cyber threats.

Shepherd operates an online insurance platform tailored for the commercial construction industry, utilizing data analytics and AI to enhance underwriting speed and accuracy. By automating administrative processes, the platform reduces response times to an average of 12 hours and offers up to 25% premium savings for clients who implement advanced risk management technologies.

Unit21 is a no-code platform that provides end-to-end lifecycle risk analysis for financial institutions, enabling them to detect and investigate financial crime throughout the customer journey. By unifying data silos and automating compliance processes, Unit21 helps organizations reduce false positives and enhance decision-making in risk management.

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.

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.

Archipelago utilizes AI to digitize risk data for large commercial property owners, enhancing data quality and streamlining the preparation of Statements of Values (SOV). This technology reduces the time spent on data management, allowing clients to focus on strategic advisory and improve their overall risk resilience.

Coverbase provides an AI-native procurement orchestration platform that embeds risk management into supplier decisions for enterprises. The platform automates supplier intake, third-party risk assessments, and contract analysis using AI agents to validate controls and extract obligations. This results in accelerated end-to-end procurement workflows and continuous vendor monitoring across security and compliance domains.

Straiker provides agentic AI security solutions designed to manage the risks associated with autonomous AI agents across the enterprise. Their platform offers agent discovery, continuous adversarial testing, and real-time runtime protection against threats like prompt injection and tool manipulation. This enables organizations to safely deploy and scale agentic AI applications with governance and visibility.

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.

Aqumon develops a data-driven AI investment engine that optimizes the risk-return profile for asset owners and financial institutions. Their customizable wealth management solutions enhance operational efficiency and profitability for money managers and end investors.

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.

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.