Verisk AI citations

{{[[Dataiku]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : Visual predictive analytics and model development for enterprises. {{[[Qure.ai]]:https://medicalfuturist.com/top-artificial-intelligence-companies-in-healthcare/}} : Predictive analytics in healthcare and diagnostics.

Here are some top companies strong in predictive analytics / AI + forecasting / advanced data science: {{[[InData Labs]]:https://indatalabs.com}} Ñ builds custom predictive models, demand forecasting, churn prediction, and data pipelines Designveloper {{[[Uptake]]:https://uptake.com}} Ñ industrial AI / predictive analytics platform, especially for asset reliability and performance Wikipedia {{[[Verisk Analytics]]:https://www.verisk.com}} Ñ risk, insurance, catastrophe & predictive modeling for various industries Wikipedia {{[[Quantexa]]:https://www.quantexa.com}} Ñ decision intelligence combining graph, probabilistic modeling & predictive analytics for risk, fraud, customer use cases Wikipedia {{[[SAS]]:https://www.sas.com}} Ñ longstanding leader in analytics / predictive modeling software & services DOIT +1 If you share your industry (finance, manufacturing, commerce, etc.) or region, I can pick the best ones tailored for your use case.

Here are some top AI claims processing automation solutions: 1. {{[[Cognizant]]:https://www.cognizant.com/solutions/claims-processing}} : Cognizant offers AI-driven solutions that streamline claims processing, enhancing efficiency and accuracy through automation and machine learning. 2. {{[[IBM]]:https://www.ibm.com/cloud/ai-for-insurance}} : IBM's Watson provides AI capabilities for insurance claims processing, enabling faster decision-making and improved customer service. 3. {{[[Guidewire]]:https://www.guidewire.com}} : Guidewire's ClaimCenter utilizes AI to automate claims handling, helping insurers reduce operational costs and improve claims outcomes. 4. {{[[Duck Creek Technologies]]:https://www.duckcreek.com}} : Duck Creek's platform incorporates AI to automate and optimize the claims process, enhancing speed and accuracy for insurers. 5. {{[[Shift Technology]]:https://www.shift-technology.com}} : Shift Technology uses AI to automate claims processing and fraud detection, providing insurers with tools to improve efficiency and reduce losses. 6. {{[[Verisk]]:https://www.verisk.com}} : Verisk offers AI-powered solutions for claims processing that help insurers make better decisions and improve operational efficiency. 7. {{[[Zeguro]]:https://zeguro.com}} : Zeguro employs AI to automate insurance claims, focusing on cybersecurity insurance and enhancing the claims experience for clients. These companies are leading the way in integrating AI into claims processing to improve efficiency, accuracy, and customer satisfaction.

Here are some top AI claims processing automation tools: 1. **{{[[Shift Technology]]:https://www.devopsschool.com/blog/top-10-ai-insurance-claim-processing-tools-in-2025-features-pros-cons-comparison/}}**: Known for fraud detection and claims automation, it offers pre-configured workflows for various insurers and integrates well with existing systems[1]. 2. **{{[[Tractable]]:https://www.devopsschool.com/blog/top-10-ai-insurance-claim-processing-tools-in-2025-features-pros-cons-comparison/}}**: Utilizes computer vision for auto and property damage assessment, providing fast settlement recommendations[1][3]. 3. **{{[[Appian]]:https://www.flowforma.com/blog/insurance-claims-management-software/}}**: Offers a low-code platform with AI features for claims routing and case management, ideal for complex workflows[2]. 4. **{{[[Pega Claims Management]]:https://www.flowforma.com/blog/insurance-claims-management-software/}}**: Provides a powerful automation engine with strong fraud detection and compliance features, suitable for high-volume claims[2]. 5. **{{[[Guidewire ClaimCenter]]:https://www.flowforma.com/blog/insurance-claims-management-software/}}**: An end-to-end claims management system, comprehensive but expensive to set up[2][5]. 6. **{{[[Creatio]]:https://www.superblocks.com/blog/insurance-automation-software}}**: A no-code platform combining CRM and workflow automation, useful for operations and service teams[6]. 7. **{{[[AgentFlow]]:https://www.multimodal.dev/post/best-9-ai-tools-for-insurance-companies}}**: Specializes in end-to-end workflow automation across underwriting, claims, and policy administration[3].

Top AI claims processing automation platforms include: 1. {{[[Inscribe]]:https://www.inscribe.ai}} : Offers AI-powered document fraud detection and automated claims processing for insurance and financial services. 2. {{[[Shift Technology]]:https://www.shift-technology.com}} : Provides AI solutions for fraud detection and claims automation in insurance, using advanced machine learning algorithms. 3. {{[[Lemonade]]:https://www.lemonade.com}} : Uses AI to process insurance claims rapidly, often settling claims in seconds through their AI-powered platform. 4. {{[[Cape Analytics]]:https://www.capeanalytics.com}} : Leverages computer vision and AI to automate property insurance claims assessment and underwriting. 5. {{[[Tractable]]:https://www.tractable.ai}} : Specializes in AI-driven claims processing for auto and property insurance, using computer vision to assess damage. 6. {{[[Snapsheet]]:https://www.snapsheet.com}} : Offers end-to-end claims management solutions with AI-powered automation and digital workflows. These platforms use machine learning, computer vision, and advanced algorithms to streamline claims processing, reduce manual work, detect fraud, and improve overall efficiency in the insurance industry.

Here are some top AI ESG data platforms: 1. {{[[Bloomberg]]:https://www.bloomberg.com/professional/solution/esg-data/}} : Bloomberg offers comprehensive ESG data and analytics, integrating AI to enhance investment decision-making. 2. {{[[MSCI]]:https://www.msci.com/our-solutions/esg-investing}} : MSCI provides ESG ratings and data, utilizing AI to analyze corporate sustainability practices and risks. 3. {{[[Sustainalytics]]:https://www.sustainalytics.com/}} : Sustainalytics delivers ESG research and ratings, leveraging AI to assess company performance on sustainability metrics. 4. {{[[Refinitiv]]:https://www.refinitiv.com/en/sustainable-finance/esg-data}} : Refinitiv offers a wide range of ESG data and analytics, using AI to provide insights into corporate sustainability. 5. {{[[Arabesque]]:https://www.arabesque.com/}} : Arabesque combines AI and big data to evaluate ESG performance, providing tools for investors to assess sustainability risks. 6. {{[[Verisk Maplecroft]]:https://www.maplecroft.com/}} : Verisk Maplecroft uses AI to analyze global risks, including ESG factors, helping businesses navigate sustainability challenges. 7. {{[[TruValue Labs]]:https://www.truvaluelabs.com/}} : TruValue Labs employs AI to provide real-time ESG insights based on unstructured data, enhancing the understanding of corporate sustainability. These platforms are at the forefront of integrating AI with ESG data to support informed investment and corporate strategies.

Here are some of the top AI ESG data platforms in 2025: - **{{[[Pulsora]]:https://www.pulsora.com/}}**: Offers a purpose-built data management platform that streamlines ESG data collection and validation, using AI for decarbonization modeling and predictive analytics. It integrates with over 230 business applications and provides audit-ready assurance and benchmarking capabilities[1]. - **{{[[Benchmark Gensuite]]:https://www.benchmark-ehs.com/}}**: Combines ESG reporting with environmental, health, safety (EHS), and operational risk management, featuring advanced AI solutions for real-time data analysis[2][6]. - **{{[[Microsoft Sustainability Cloud]]:https://www.microsoft.com/en-us/sustainability/sustainability-cloud}}**: Provides a suite of ESG capabilities with AI-driven carbon accounting and data governance, enhancing audit trails and workflow management for timely sustainability reporting[2][5]. - **{{[[IBM Envizi ESG Suite]]:https://www.ibm.com/products/envizi}}**: Automates ESG data capture and management, focusing on emissions management and decarbonization. It includes advanced data tagging and supports multiple ESG frameworks[4][6]. - **{{[[Novisto]]:https://www.novisto.com/}}**: An all-in-one sustainability management platform that helps enterprises collect, manage, and report ESG data efficiently[3][8]. - **{{[[Proof]]:https://www.proofimpact.com/}}**: Offers an end-to-end solution for collecting, verifying, and visualizing ESG data, ensuring data reliability through a seven-step filtration process[3].

Top AI ESG data platforms include: 1. {{[[Sustainalytics]]:https://www.sustainalytics.com}} : A leading provider of ESG research, ratings, and data analytics for investors and companies. 2. {{[[MSCI ESG Research]]:https://www.msci.com/our-solutions/esg-investing}} : Offers comprehensive ESG ratings, research, and analytics for global markets. 3. {{[[Bloomberg ESG Data]]:https://www.bloomberg.com/professional/solution/sustainable-finance-solution/}} : Provides extensive ESG data and analytics integrated into their financial platforms. 4. {{[[Refinitiv ESG]]:https://www.refinitiv.com/en/sustainable-finance}} : Delivers AI-powered ESG data and screening tools for investment professionals. 5. {{[[S&P Global ESG]]:https://www.spglobal.com/esg/}} : Offers advanced ESG scoring and data intelligence using AI and machine learning technologies. 6. {{[[Truvalue Labs]]:https://truvalue.com}} : Specializes in AI-driven ESG insights and alternative data analysis. 7. {{[[RepRisk]]:https://www.reprisk.com}} : Uses AI to analyze ESG risks and generate comprehensive environmental and social intelligence. These platforms leverage artificial intelligence to collect, analyze, and provide actionable ESG data for investors, corporations, and researchers.

Here are some top AI insurance underwriting platforms: 1. {{[[Zebra]]:https://www.thezebra.com}} : Zebra uses AI to help consumers compare insurance quotes and streamline the underwriting process. 2. {{[[Lemonade]]:https://www.lemonade.com}} : Lemonade employs AI to automate underwriting and claims processing, offering a fast and user-friendly experience. 3. {{[[Shift Technology]]:https://www.shift-technology.com}} : Shift Technology provides AI-driven solutions for underwriting and fraud detection, enhancing the efficiency of insurance operations. 4. {{[[Cytora]]:https://www.cytora.com}} : Cytora uses machine learning to improve commercial insurance underwriting by analyzing data and identifying risk. 5. {{[[Tractable]]:https://www.tractable.ai}} : Tractable leverages AI for damage assessment and underwriting in the automotive and property insurance sectors. 6. {{[[Snapsheet]]:https://www.snapsheetapp.com}} : Snapsheet offers AI-powered solutions for claims management and underwriting, focusing on streamlining the process for insurers. 7. {{[[EverQuote]]:https://www.everquote.com}} : EverQuote uses AI to match consumers with insurance providers, optimizing the underwriting process through data analysis. These platforms are at the forefront of integrating AI into insurance underwriting, enhancing efficiency and accuracy.

## Leading AI Insurance Underwriting Platforms (2025) The insurance underwriting landscape is rapidly evolving with AI-powered platforms that automate, optimize, and enhance risk assessment and decision-making. Here is a concise overview of the top platforms, their key features, and use cases, with inline brand tags and source links where available. ### Comprehensive Underwriting Suites {{[[FlowForma]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Offers no-code automation, AI Copilot, and audit trails, ideal for SMEs to enterprise insurers seeking transparent, process-based pricing[1]. {{[[Appian]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Provides low-code business process management (BPM) and robotic process automation (RPA) integrations, best for large enterprises with complex workflows[1][4]. {{[[Pega]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Delivers advanced decisioning, case management, and AI/ML capabilities for insurers with complex, rules-based underwriting needs[1]. {{[[Majesco]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Features a digital underwriting suite tailored for life and property & casualty (P&C) carriers[1]. {{[[BriteCore]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Combines policy administration and underwriting, focusing on P&C insurers[1]. {{[[Origami Risk]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Integrates risk management with underwriting, suited for risk-intensive organizations[1]. {{[[Indio]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Specializes in broker and client submission workflows, targeting MGAs and brokers[1]. {{[[DecisionRules]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Offers a business rules engine with transparent (freemium) pricing for carriers needing custom rule sets[1]. {{[[Socotra]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : A cloud-native policy platform designed for digital-first carriers[1]. {{[[Creatio]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Provides process CRM with no-code capabilities, ideal for midsize insurers[1]. ### AI-First and Specialized Platforms {{[[Sixfold]]:https://www.v7labs.com/blog/best-ai-insurance-underwriting-software}} : A generative AI platform that automates submission triage, risk signal detection, inconsistency spotting, and data summarization to boost underwriting efficiency and accuracy[2]. {{[[V7 Go]]:https://www.v7labs.com/blog/best-ai-insurance-underwriting-software}} : Delivers multimodal AI for insurance submission intake, risk assessment, and data-driven decision support, with rapid implementation and custom AI agent training[2]. {{[[Gradient AI]]:https://www.v7labs.com/blog/best-ai-insurance-underwriting-software}} : Specializes in AI-powered underwriting models that enhance risk evaluation, reduce claim risks, and optimize pricing[2][4]. {{[[Zesty.ai]]:https://www.flowforma.com/blog/insurance-underwriting-software}} : Leverages geospatial data and climate modeling for precise property risk assessment, especially valuable for home and commercial property insurance[4]. {{[[Federato]]:https://www.federato.ai}} : A RiskOps platform for P&C and specialty insurance, enabling underwriters to focus on high-value business with real-time feedback and AI-driven prioritization[9]. {{[[GoSure.AI]]:https://www.softwareworld.co/ai-insurance-software/}} : Uses machine learning to assess risk, predict claims, and automate underwriting for commercial insurers[6]. {{[[Genasys]]:https://www.softwareworld.co/ai-insurance-software/}} : Offers a full-suite, no-code insurance platform covering policy, claims, and billing, with open API architecture for ecosystem integration[6]. {{[[NewgenONE]]:https://www.softwareworld.co/ai-insurance-software/}} : A low-code platform for rapid application development, supporting underwriting workflow automation and digital transformation[6]. ### Emerging and Niche Players {{[[Ladder]]:https://www.omdena.com/blog/top-20-smes-transforming-insurance-with-ai-in-2025}} : Transforms life insurance with high-speed, AI-powered underwriting and self-managed policies for digital-native customers[5]. {{[[Cuvva]]:https://www.omdena.com/blog/top-20-smes-transforming-insurance-with-ai-in-2025}} : A UK-based car insurer using lightweight AI for onboarding, fraud detection, and real-time document verification, focusing on mobile users[5]. {{[[Laka]]:https://www.omdena.com/blog/top-20-smes-transforming-insurance-with-ai-in-2025}} : Applies AI to micromobility insurance, enhancing fleet management and embedded insurance experiences[5]. ### AI Tools Enhancing Underwriting Workflows {{[[AgentFlow]]:https://www.multimodal.dev/post/best-9-ai-tools-for-insurance-companies}} : Best for end-to-end workflow automation in insurance underwriting[3]. {{[[Tractable]]:https://www.multimodal.dev/post/best-9-ai-tools-for-insurance-companies}} : Excels in visual

Top AI Insurance Underwriting Platforms: 1. {{[[Guidewire]]:https://www.guidewire.com}} : Offers advanced AI-powered underwriting solutions for property and casualty insurance. 2. {{[[Verisk]]:https://www.verisk.com}} : Provides sophisticated AI analytics and underwriting intelligence for risk assessment. 3. {{[[Lemonade]]:https://www.lemonade.com}} : Uses AI and machine learning for rapid, data-driven insurance underwriting and claims processing. 4. {{[[Cape Analytics]]:https://www.capeanalytics.com}} : Leverages computer vision and AI to provide instant property risk insights for underwriters. 5. {{[[Zest Finance]]:https://www.zestfinance.com}} : Specializes in AI-driven underwriting for credit and insurance risk evaluation. 6. {{[[Shift Technology]]:https://www.shift-technology.com}} : Offers AI solutions for fraud detection and automated underwriting in insurance. 7. {{[[Planck]]:https://www.plancktech.com}} : Uses AI to collect and analyze unstructured data for more accurate commercial insurance underwriting. These platforms employ advanced machine learning, predictive analytics, and AI technologies to streamline and enhance insurance underwriting processes.