Best AI tools for< Manage Insurance Policies >

Nestor is an AI-powered insurance assistant that provides clear and jargon-free answers to all your insurance questions. It can audit your insurance contracts, identify potential over-insurance or under-insurance, and suggest ways to improve your coverage. Nestor is constantly learning and can provide expert advice on a wide range of insurance topics.

Gradient AI is a leading provider of artificial intelligence solutions for the insurance industry. Their solutions improve loss ratios and profitability by predicting underwriting and claims risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation.

InsureSmart is an AI-powered platform that empowers users to take control of their insurance needs. By leveraging artificial intelligence technology, InsureSmart offers personalized insurance solutions tailored to individual requirements. The platform provides a seamless and user-friendly experience for users to manage and optimize their insurance policies efficiently. With InsureSmart, users can access smart recommendations, compare insurance plans, and make informed decisions to secure their financial well-being.

AskLegal.bot is a free AI-powered legal assistant that provides instant answers to your legal questions. With our proprietary AI technology, we synthesize information from thousands of sources to offer tailored guidance that aligns with current laws and regulations. Our self-service document review tool helps you understand various legal documents, including rental agreements, employment contracts, service agreements, insurance policies, and more. AskLegal.bot is confidential and secure, ensuring the privacy of your discussions with top-tier data security and privacy measures.

Veryfi is an OCR API tool for invoice and receipt data extraction. It offers fast, accurate, and secure document capture and data extraction on any type of document. Veryfi empowers users to process documents efficiently, automate manual data entry, and implement AI into various business processes. The tool is designed to streamline workflows, enhance accuracy, and unlock new levels of efficiency across industries such as finance, insurance, and more.

Gradient AI is a leading provider of artificial intelligence solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claims risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation.

StrAIberry is an AI solution for the Patient, Insurance, Dentist triangle that can organize and solve the issues of personal oral hygiene, appointment setting, second eye opinion with the highest precision for dentists, insurance fraud, and risk management for insurance while saving cost, time and paper waste.

Sphere is an AI-driven platform that simplifies healthcare navigation by helping users understand their symptoms, find the right healthcare provider, book appointments, and manage insurance and payments seamlessly. It offers a transparent experience where users can share symptoms, medical history, availability, and insurance details to receive personalized healthcare recommendations. Sphere's AI Medical Specialist guides users through their healthcare journey, providing essential information and matching them with suitable specialists. The platform prioritizes privacy and security, using advanced encryption methods to protect users' personal and medical information.

Quandri is a digital workforce solution that automates repetitive tasks for insurance brokerages and agencies. By leveraging advanced automation and AI, Quandri's digital workers can help businesses save time, reduce errors, and increase efficiency. Quandri's out-of-the-box digital workers can be deployed seamlessly into any agency or brokerage, and can be trained to perform a variety of tasks, including EDI processing, closing broker activities, eDoc processing, inbound lead management, and renewal reviews. With Quandri, businesses can free up their team's time to focus on more value-producing activities, such as building relationships with clients and growing their business.

KGiSL is a BFSI-centric multiproduct enterprise software company focused on insurance, capital markets, and wealth management segments, delivering AI and ML-driven products for a transformative edge. The company offers a wide range of solutions for various industries, including digital transformation, automation, analytics, and IT infrastructure management. KGiSL aims to empower its clients through innovative technologies such as Machine Learning, Artificial Intelligence, Analytics, and Cloud services to enhance productivity and deliver exceptional customer experiences.

Healthee is an AI-powered employee benefits app that simplifies healthcare navigation for employees and stakeholders. It provides personalized answers to healthcare queries, streamlines open enrollment processes, and offers real-time insights and data-driven preventive care recommendations. With Healthee, employees can access vital health plan information anytime through a user-friendly mobile app.

Responsive.ai is a foundational software designed for financial advice, aimed at maximizing advisor productivity through workflow automation, client engagement tools, and AI-powered insights. The platform offers solutions like Prioritize for enhancing relationships and revenue growth, Enable for managing documents and integrations, and Dash for creating seamless digital experiences. Responsive empowers advisors with an API-first ecosystem to deliver advice-led financial services and elevate enterprise value.

Neota is a no-code development platform that empowers individuals to build bespoke solutions without writing a single line of code. It offers a wide range of capabilities and features to streamline processes, automate documents, and accelerate time-to-market. Neota integrates seamlessly with existing tools, provides visually stunning user experiences, and ensures security with international certifications. The platform harnesses AI for practical business automation solutions and caters to various roles like Legal Operations, Insurance, and Human Resources. Neota is trusted globally and has a decade of experience in supporting teams to accomplish more with less.

EvenUp is a unified, AI-powered Claims Intelligence Platform that assists legal professionals in managing various aspects of personal injury cases. The platform offers AI-powered tools like Case Companion, Demands™, MedChrons™, Executive Analytics™, Case Preparation™, Negotiation Preparation™, Settlement Repository™, and Piai™ to streamline case management, document analysis, negotiation preparation, and settlement outcomes. EvenUp aims to provide accurate and data-driven insights to maximize case value and settlement outcomes for law firms dealing with personal injury cases.

Nauto is an AI-powered fleet management software that helps businesses improve driver safety and reduce collisions. It uses a dual-facing camera and external sensors to detect distracted and drowsy driving, as well as in-cabin and external risks. Nauto's predictive AI algorithms can assess, predict, and alert drivers of imminent risks to avoid collisions. It also provides real-time alerts to end distracted and drowsy driving, and self-guided coaching videos to help drivers improve their behavior. Nauto's claims management feature can quickly and reliably process and resolve claims, resulting in millions of dollars saved. Overall, Nauto is a comprehensive driver and vehicle safety platform that can help businesses reduce risk, improve safety, and save money.

Altana is a dynamic, intelligent, universal map of the global supply chain that offers unprecedented visibility and AI-powered insights to help users focus on critical business needs. It provides collaborative workflows for managing extended supplier and customer networks, applying AI to a vast network of supply chain data. Altana is trusted by governments, logistics providers, and major businesses worldwide for compliance, carbon management, procurement, insurance, and more.

Thatch is a modern health benefits platform that offers a personalized healthcare experience to employees using an ICHRA. It provides a flexible and affordable way for companies to offer healthcare benefits by allowing them to set a budget and empower team members to choose their preferred healthcare options. Thatch simplifies benefits administration, helps in budgeting, and offers a Thatch Visa debit card for easy payment of healthcare costs. The platform works with all payroll providers and insurance plans, making it a convenient solution for companies of all sizes.

Dialpad is an AI-powered customer communications platform that offers solutions for phone systems, video conferencing, cloud contact center, and more. It leverages artificial intelligence to enhance communication efficiency, provide insights, and streamline customer interactions. Dialpad caters to various industries such as retail, insurance, technology, healthcare, and legal services, empowering teams to deliver exceptional customer experiences.

Rapid API Marketplace is a platform that offers a seamless connected experience for developers to build, use, and share APIs. It provides both Enterprise and Public Marketplaces, along with security features and API client tools for Mac and VS Code. The platform caters to industries like Telecommunications, Insurance, and Travel & Hospitality, offering resources such as EBooks, Whitepapers, Videos, Webinars, and Courses. Rapid API Marketplace aims to create an open and secure ecosystem for sharing APIs and data, driving standards and revenue streams for businesses.

Creatio is a no-code platform that offers automation of workflows and CRM solutions. It empowers organizations to streamline business processes through the use of no-code and AI technologies. Creatio provides tools for building applications, managing customer relationships, marketing, sales, and service operations. With a composable architecture and visual designers, Creatio enables users to create custom solutions without the need for coding skills. The platform caters to various industries such as banking, insurance, telecommunications, and more, offering ready-to-use processes and unlimited customization options.

The 'Awesome AI Guidelines' repository aims to simplify the ecosystem of guidelines, principles, codes of ethics, standards, and regulations around artificial intelligence. It provides a comprehensive collection of resources addressing ethical and societal challenges in AI systems, including high-level frameworks, principles, processes, checklists, interactive tools, industry standards initiatives, online courses, research, and industry newsletters, as well as regulations and policies from various countries. The repository serves as a valuable reference for individuals and teams designing, building, and operating AI systems to navigate the complex landscape of AI ethics and governance.

This repository serves as a hub for Microsoft Official Build & Modernize AI Applications reference solutions and content. It provides access to projects demonstrating how to build Generative AI applications using Azure services like Azure OpenAI, Azure Container Apps, Azure Kubernetes, and Azure Cosmos DB. The solutions include Vector Search & AI Assistant, Real-Time Payment and Transaction Processing, and Medical Claims Processing. Additionally, there are workshops like the Intelligent App Workshop for Microsoft Copilot Stack, focusing on infusing intelligence into traditional software systems using foundation models and design thinking.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

The Conversational Azure OpenAI Accelerator is a tool designed to provide rapid, no-cost custom demos tailored to customer use cases, from internal HR/IT to external contact centers. It focuses on top use cases of GenAI conversation and summarization, plus live backend data integration. The tool automates conversations across voice and text channels, providing a valuable way to save money and improve customer and employee experience. By combining Azure OpenAI + Cognitive Search, users can efficiently deploy a ChatGPT experience using web pages, knowledge base articles, and data sources. The tool enables simultaneous deployment of conversational content to chatbots, IVR, voice assistants, and more in one click, eliminating the need for in-depth IT involvement. It leverages Microsoft's advanced AI technologies, resulting in a conversational experience that can converse in human-like dialogue, respond intelligently, and capture content for omni-channel unified analytics.

HAMi is a Heterogeneous AI Computing Virtualization Middleware designed to manage Heterogeneous AI Computing Devices in a Kubernetes cluster. It allows for device sharing, device memory control, device type specification, and device UUID specification. The tool is easy to use and does not require modifying task YAML files. It includes features like hard limits on device memory, partial device allocation, streaming multiprocessor limits, and core usage specification. HAMi consists of components like a mutating webhook, scheduler extender, device plugins, and in-container virtualization techniques. It is suitable for scenarios requiring device sharing, specific device memory allocation, GPU balancing, low utilization optimization, and scenarios needing multiple small GPUs. The tool requires prerequisites like NVIDIA drivers, CUDA version, nvidia-docker, Kubernetes version, glibc version, and helm. Users can install, upgrade, and uninstall HAMi, submit tasks, and monitor cluster information. The tool's roadmap includes supporting additional AI computing devices, video codec processing, and Multi-Instance GPUs (MIG).

AzureOpenAI-with-APIM is a repository that provides a one-button deploy solution for Azure API Management (APIM), Key Vault, and Log Analytics to work seamlessly with Azure OpenAI endpoints. It enables organizations to scale and manage their Azure OpenAI service efficiently by issuing subscription keys via APIM, delivering usage metrics, and implementing policies for access control and cost management. The repository offers detailed guidance on implementing APIM to enhance Azure OpenAI resiliency, scalability, performance, monitoring, and chargeback capabilities.

Backend.AI Web UI is a user-friendly web and app interface designed to make AI accessible for end-users, DevOps, and SysAdmins. It provides features for session management, inference service management, pipeline management, storage management, node management, statistics, configurations, license checking, plugins, help & manuals, kernel management, user management, keypair management, manager settings, proxy mode support, service information, and integration with the Backend.AI Web Server. The tool supports various devices, offers a built-in websocket proxy feature, and allows for versatile usage across different platforms. Users can easily manage resources, run environment-supported apps, access a web-based terminal, use Visual Studio Code editor, manage experiments, set up autoscaling, manage pipelines, handle storage, monitor nodes, view statistics, configure settings, and more.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

Llumnix is a cross-instance request scheduling layer built on top of LLM inference engines such as vLLM, providing optimized multi-instance serving performance with low latency, reduced time-to-first-token (TTFT) and queuing delays, reduced time-between-tokens (TBT) and preemption stalls, and high throughput. It achieves this through dynamic, fine-grained, KV-cache-aware scheduling, continuous rescheduling across instances, KV cache migration mechanism, and seamless integration with existing multi-instance deployment platforms. Llumnix is easy to use, fault-tolerant, elastic, and extensible to more inference engines and scheduling policies.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

This repository is a rich resource offering examples of synthetic image generation, manipulation, and reasoning using Azure Machine Learning, Computer Vision, OpenAI, and open-source frameworks like Stable Diffusion. It provides practical insights into image processing applications, including content generation, video analysis, avatar creation, and image manipulation with various tools and APIs.

Azure OpenAI Service is a central capability with Azure API Management, providing guidance and tools for organizations to implement Azure OpenAI in a production environment with an emphasis on cost control, secure access, and usage monitoring. It includes infrastructure-as-code templates, CI/CD pipelines, secure access management, usage monitoring, load balancing, streaming requests, and end-to-end samples like ChatApp and Azure Dashboards.

The Artificial Intelligence Controller Interface (AICI) lets you build Controllers that constrain and direct output of a Large Language Model (LLM) in real time. Controllers are flexible programs capable of implementing constrained decoding, dynamic editing of prompts and generated text, and coordinating execution across multiple, parallel generations. Controllers incorporate custom logic during the token-by-token decoding and maintain state during an LLM request. This allows diverse Controller strategies, from programmatic or query-based decoding to multi-agent conversations to execute efficiently in tight integration with the LLM itself.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

Formal yet witty AI & Insurance expert. Powered by Breebs (www.breebs.com)

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