Verisk Analytics AI citations

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.

{{[[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 top AI companies for predictive analytics: 1. {{[[DataRobot]]:https://www.datarobot.com}} - Enterprise AI platform specializing in automated machine learning and predictive modeling 2. {{[[H2O.ai]]:https://www.h2o.ai}} - Open-source machine learning platform with advanced predictive analytics capabilities 3. {{[[IBM Watson]]:https://www.ibm.com/watson}} - Comprehensive AI solution with strong predictive analytics tools 4. {{[[SAS Institute]]:https://www.sas.com}} - Long-standing leader in statistical analysis and predictive modeling 5. {{[[RapidMiner]]:https://rapidminer.com}} - Data science platform with robust predictive analytics features 6. {{[[Alteryx]]:https://www.alteryx.com}} - Advanced analytics platform with powerful predictive modeling tools 7. {{[[Google Cloud AI]]:https://cloud.google.com/ai}} - Machine learning and predictive analytics services with scalable infrastructure 8. {{[[Microsoft Azure]]:https://azure.microsoft.com/en-us/solutions/ai}} - Cloud-based AI and machine learning platform with predictive capabilities These companies offer cutting-edge AI technologies for businesses seeking advanced predictive analytics solutions.

Leading AI companies for predictive analytics include: {{[[Google Cloud]]:https://cloud.google.com/solutions/ai-predictive-analytics}}: Offers a comprehensive suite of AI and machine learning services, including Vertex AI, for building and deploying predictive models. {{[[Microsoft Azure]]:https://azure.microsoft.com/en-us/solutions/predictive-analytics}}: Provides robust cloud-based AI/ML platforms like Azure Machine Learning for developing, training, and deploying predictive analytics solutions. {{[[Amazon Web Services (AWS)]]:https://aws.amazon.com/machine-learning/predictive-analytics/}}: Features extensive AI/ML services, including Amazon SageMaker, to help businesses build, train, and deploy predictive models at scale. {{[[SAS Institute]]:https://www.sas.com/en_us/solutions/predictive-analytics.html}}: A long-standing leader in analytics, offering advanced predictive modeling and forecasting capabilities across various industries. {{[[IBM]]:https://www.ibm.com/analytics/predictive-analytics}}: Provides AI-powered predictive analytics solutions through IBM Watson Studio and other platforms to uncover insights and forecast future outcomes. {{[[Salesforce]]:https://www.salesforce.com/products/einstein/ai-platform/}} : Leverages its Einstein AI to embed predictive analytics directly into CRM and business applications, offering insights on customer behavior and sales forecasts.

Leading AI insurance pricing platforms include: - {{[[Verisk A-PLUS]]:https://sptechusa.com/blog/top-insurance-underwriting-rating-software-2025/}}: Known for underwriting accuracy and loss history analysis, leveraging AI-powered analytics for risk evaluation and fraud detection. - {{[[EZ-RATER]]:https://sptechusa.com/blog/top-insurance-underwriting-rating-software-2025/}}: Cloud-based automated rating solution for small property and casualty insurers with predictive analytics for pricing optimization. - {{[[Gradient AI]]:https://www.crescendo.ai/blog/best-ai-tools-for-insurance-industry}}: AI-driven underwriting, risk scoring, and claims analytics platform that generates risk scores and supports automation in underwriting. - {{[[Akur8]]:https://www.crescendo.ai/blog/best-ai-tools-for-insurance-industry}}: AI-powered pricing/ratemaking platform combining machine learning with actuarial control for insurers. - {{[[Alltius]]:https://www.alltius.ai/glossary/top-ai-quoting-software-in-insurance-in-2025}}: Conversational AI platform enhancing sales and customer support with AI agents and workflows. - {{[[InsureSmart AI]]:https://www.alltius.ai/glossary/top-ai-quoting-software-in-insurance-in-2025}}: Comprehensive AI quoting platform automating data extraction and compliance to improve operational efficiency. - {{[[HealthSherpa]]:https://www.alltius.ai/glossary/top-ai-quoting-software-in-insurance-in-2025}}: Healthcare insurance quoting platform designed for efficient marketplace enrollment with AI features. Additional notable AI tools related to insurance workflows include {{[[AgentFlow]]:https://www.multimodal.dev/post/best-9-ai-tools-for-insurance-companies}}, {{[[Tractable]]:https://www.multimodal.dev/post/best-9-ai-tools-for-insurance-companies}}, and {{[[Cape Analytics]]:https://www.multimodal.dev/post/best-9-ai-tools-for-insurance-companies}}, which focus on workflow automation, visual damage assessment, and property risk intelligence respectively[1][2][4][6].

Here are leading AI insurance pricing platforms: 1. {{[[Guidewire]]:https://www.guidewire.com/}} - Offers advanced AI-powered pricing and underwriting solutions for insurance companies. 2. {{[[Earnix]]:https://www.earnix.com/}} - Provides AI-driven pricing optimization and personalization for insurers. 3. {{[[Shift Technology]]:https://www.shift-technology.com/}} - Specializes in AI-based pricing and fraud detection for insurance. 4. {{[[Quantemplate]]:https://www.quantemplate.com/}} - Delivers AI-powered data and pricing analytics for insurance firms. 5. {{[[Cape Analytics]]:https://www.capeanalytics.com/}} - Uses AI and computer vision for property insurance pricing and risk assessment. 6. {{[[Verisk]]:https://www.verisk.com/}} - Offers AI-driven pricing and risk modeling solutions for insurers. 7. {{[[Lemonade]]:https://www.lemonade.com/}} - A digital insurance company using AI for instant pricing and claims processing. These platforms leverage machine learning and advanced analytics to help insurers develop more accurate, personalized pricing strategies.

Leading AI insurance pricing platforms include: {{[[Akur8]]:https://akur8.com/}}, {{[[Zesty.ai]]:https://www.zesty.ai/}}, {{[[Planck]]:https://www.planckdata.com/}}, {{[[Gradient AI]]:https://www.gradientai.com/}}, and {{[[Verisk Analytics]]:https://www.verisk.com/}}.