Best AI tools for< Analyze Case Data >

CaseGen is an AI communication platform designed exclusively for personal injury law firms. It offers an AI-powered phone intake agent and text messaging service that handles client interactions 24/7, capturing leads and delivering seamless, professional service. The platform helps law firms manage new intake calls, handle client inquiries, block unwanted sales calls, and more, ensuring no lead is missed outside office hours. CaseGen aims to revolutionize how law firms retain new clients and engage with key parties involved in the legal process by providing cost-effective, consistent, and scalable solutions.

CompFox is an AI-enhanced legal research tool designed for workers' compensation professionals in California. It streamlines legal research by providing access to a comprehensive database of workers' compensation case law and statutory codes. With features like AI-driven search, chat for case-specific analysis, intelligent case file analysis, collaborative research folders, and one-stop statutory code search, CompFox helps attorneys and insurance adjusters save time, reduce stress, and improve case outcomes.

Legal Assist AI is an industry-leading startup that offers cutting-edge, AI-driven services to revolutionize the legal landscape. Founded by James Bratton, the platform provides automated contract analysis, intelligent case management systems, and predictive analytics tailored for the legal profession. With a vision to redefine efficiency and elevate the quality of legal services, Legal Assist AI aims to transform the future of legal work through innovative AI technology.

Dynatrace is a modern cloud platform that offers unified observability and security solutions to simplify cloud complexity and drive innovation. Powered by causal AI, Dynatrace provides analytics and automation capabilities to help businesses monitor and secure their full stack, solve digital challenges, and make better business decisions in real-time. Trusted by thousands of global brands, Dynatrace empowers teams to deliver flawless digital experiences, drive intelligent cloud ecosystem automations, and solve any use-case with custom solutions.

The OECD Observatory of Public Sector Innovation (OPSI) is a website that provides resources and tools to help governments and public servants explore new possibilities for innovation. OPSI's work areas include European Commission Collaboration, Anticipatory Innovation, Cross-Border Government Innovation, Behavioural Insights, Innovative Capacity, Innovation Trends, Innovation Portfolios, Mission-Oriented Innovation, Innovation Management, and Systems Approaches. OPSI also has a number of resources available, including a Toolkit Navigator, Case Study Library, Portfolio Exploration Tool, and Anticipatory Innovation Resource (AIR).

InsightIQ is a leading influencer marketing platform that connects brands with influencers to create successful campaigns. It offers a range of features to help brands find the right influencers, track campaign performance, and measure ROI. InsightIQ's platform is used by some of the world's leading brands, including Unilever, PepsiCo, and Coca-Cola.

Calypso is an AI-first public equities copilot platform that combines the power of AI with financials, transcripts, headlines, and case studies by professionals to provide effortless analysis and superior returns. It offers features such as AI-powered insights, personalized theses, earnings previews, and updates, as well as the ability to ask any question with AI chats. Trusted by professionals, Calypso helps users stay up to date with key debates, financials, and valuation setups, making it a valuable tool for individuals in the finance industry.

Provectus is an Artificial Intelligence consultancy and solutions provider that helps businesses achieve their objectives through AI. They offer AI solutions that can be integrated into organizations through use case and platform approaches. Their solutions differentiate themselves by offering no license fees, open and certified architecture, cloud-native but vendor-agnostic solutions, turnkey solutions, and AI consulting and customization services. Provectus has successfully transformed industries such as insurance underwriting, digital banking, retail, healthcare, and manufacturing through their Generative AI technology.

VKTR is an online platform that provides resources and insights on the topic of artificial intelligence (AI) in the workplace. It offers articles, case studies, and other content to help users understand how AI is being used in various industries and roles, and how they can leverage AI to improve their own work.

McKinsey & Company is a global management consulting firm that provides a wide range of services to help businesses improve their performance. The company's website provides information on its services, insights, and thought leadership on a variety of topics, including artificial intelligence (AI). McKinsey & Company has a strong focus on AI and has developed a number of tools and resources to help businesses adopt and implement AI technologies. The company's website includes a section on AI that provides information on the latest AI trends, case studies, and white papers.

Veritone is a leading provider of artificial intelligence (AI) solutions for businesses. Its flagship product, aiWARE, is an enterprise AI platform that provides access to hundreds of cognitive engines through one common software infrastructure. Veritone's AI solutions are used by businesses in a variety of industries, including media and entertainment, recruitment, government, legal and compliance, and sports. Veritone's mission is to augment the human workforce by transforming use-case concepts into tangible, industry-leading applications and solutions.

Langdock is an all-in-one AI platform designed for companies, offering enterprise-ready solutions to roll out AI to all employees. It enables developers to build and deploy custom AI workflows, providing model-agnostic, privacy-first, scalable, and measurable features. The platform includes AI chat, use-case-specific assistants, AI workplace search, API integration, and agents for building and running AI workflows. Langdock is trusted by over 150 companies globally, with expert support assistants available for various functions like customer support, documentation drafting, IT help, sales enablement, and more. The platform is hosted in Europe and the US, ensuring security and compliance with data privacy regulations.

SupportLogic is a Support Experience Management Platform that uses AI to help businesses improve their customer support operations. It offers a range of features, including sentiment analysis, backlog management, intelligent case routing, proactive alerts, swarming and collaboration, account health management, customer support analytics, text analytics, SLA/SLO management, quality monitoring and coaching, agent productivity, and translation. SupportLogic integrates with existing ticketing systems and apps, and can be implemented within 45 days.

SarvaHit AI is an AI consulting firm that specializes in providing AI solutions for businesses. They offer services such as custom code automation solutions, personalized AI assistant deployment, advanced model integration and deployment, custom use case analysis, and knowledge sharing and training. The company aims to empower businesses by leveraging the power of artificial intelligence to enhance efficiency, decision-making, and value creation.

Diagramix is an AI-powered tool that allows users to generate various types of diagrams, such as sequence diagrams, flowcharts, state diagrams, ER diagrams, user journey diagrams, class diagrams, mind maps, and use case diagrams. Users can create these diagrams easily and efficiently with the help of Diagramix and ChatGPT. The tool provides a user-friendly interface for creating visual representations of complex systems and processes, making it ideal for professionals, students, and anyone who needs to visualize information.

LawDroid is an AI legal assistant application designed to help legal professionals work smarter and more efficiently. It serves as a force multiplier, enabling users to accomplish more tasks without additional overhead. LawDroid offers features such as case law research, drafting emails and letters, and document analysis. It also provides benefits like intake new clients, data-driven decisions, automate documents, human in the loop automation, and building scalable tools. The application is used by students, faculty, and legal professionals to streamline legal processes and improve client experiences.

CaseMark is an AI-assisted workflow and summarization platform designed for the legal industry. It offers a range of features such as deposition summaries, case summaries, medical records summaries, trial summaries, and custom summaries. The platform leverages AI technology to generate accurate and efficient summaries of complex legal documents in minutes, enabling legal professionals to focus on more critical tasks. CaseMark also provides custom workflows, integration with existing platforms, enterprise-class security, and a money-back guarantee. Trusted by over 4500 lawyers, court reporting firms, and legal tech companies, CaseMark aims to empower legal efficiency one workflow at a time.

SunDevs is an AI tool designed to solve business problems and enhance customer experiences through AI solutions. The platform offers a range of features such as chat and messaging, phone and voice capabilities, integrations with popular platforms like Hubspot and Salesforce, and industry-specific solutions for Ecommerce, Cinema, and Telco. SunDevs leverages AI technology to provide tailored solutions for businesses, including staff augmentation, product teams, and tech solutions like Ruby On Rails and Angular. The platform's AI chatbots offer 24/7 support, quick responses, and personalized interactions to improve customer satisfaction and loyalty. SunDevs also provides resources such as blog posts, ebooks, and case studies to help businesses understand and implement AI solutions effectively.

Unit21 is a customizable no-code platform designed for risk and compliance operations. It empowers organizations to combat financial crime by providing end-to-end lifecycle risk analysis, fraud prevention, case management, and real-time monitoring solutions. The platform offers features such as AI Copilot for alert prioritization, Ask Your Data for data analysis, Watchlist & Sanctions for ongoing screening, and more. Unit21 focuses on fraud prevention and AML compliance, simplifying operations and accelerating investigations to respond to financial threats effectively and efficiently.

EvenUp is a Claims Intelligence Platform that leverages AI technology to transform medical documents and case files into AI-driven demand packages for personal injury lawyers. The platform provides rich insights, AI workflow automation, and best-in-class document creation to help injury lawyers claim bigger and settle faster. EvenUp's team of injury experts use AI to craft demand packages, freeing up time for case managers and attorneys to focus on case strategy. The platform is designed to consistently settle for more, resolve cases faster, and save time for legal professionals. EvenUp is SOC2 certified, ensuring top-tier security standards and client privacy.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

LLM-Geo is an AI-powered geographic information system (GIS) that leverages Large Language Models (LLMs) for automatic spatial data collection, analysis, and visualization. By adopting LLM as the reasoning core, it addresses spatial problems with self-generating, self-organizing, self-verifying, self-executing, and self-growing capabilities. The tool aims to make spatial analysis easier, faster, and more accessible by reducing manual operation time and delivering accurate results through case studies. It uses GPT-4 API in a Python environment and advocates for further research and development in autonomous GIS.

This repository contains a collection of AI projects covering various areas of machine learning. Each project is accompanied by detailed articles on the associated blog sciblog. Projects range from introductory topics like Convolutional Neural Networks and Transfer Learning to advanced topics like Fraud Detection and Recommendation Systems. The repository also includes tutorials on data generation, distributed training, natural language processing, and time series forecasting. Additionally, it features visualization projects such as football match visualization using Datashader.

LAMBDA is a code-free multi-agent data analysis system that utilizes large models to address data analysis challenges in complex data-driven applications. It allows users to perform complex data analysis tasks through human language instruction, seamlessly generate and debug code using two key agent roles, integrate external models and algorithms, and automatically generate reports. The system has demonstrated strong performance on various machine learning datasets, enhancing data science practice by integrating human and artificial intelligence.

Lawyer LLaMA is a large language model that has been specifically trained on legal data, including Chinese laws, regulations, and case documents. It has been fine-tuned on a large dataset of legal questions and answers, enabling it to understand and respond to legal inquiries in a comprehensive and informative manner. Lawyer LLaMA is designed to assist legal professionals and individuals with a variety of law-related tasks, including: * **Legal research:** Quickly and efficiently search through vast amounts of legal information to find relevant laws, regulations, and case precedents. * **Legal analysis:** Analyze legal issues, identify potential legal risks, and provide insights on how to proceed. * **Document drafting:** Draft legal documents, such as contracts, pleadings, and legal opinions, with accuracy and precision. * **Legal advice:** Provide general legal advice and guidance on a wide range of legal matters, helping users understand their rights and options. Lawyer LLaMA is a powerful tool that can significantly enhance the efficiency and effectiveness of legal research, analysis, and decision-making. It is an invaluable resource for lawyers, paralegals, law students, and anyone else who needs to navigate the complexities of the legal system.

BehaviorTree.CPP is a C++ 17 library that provides a framework to create BehaviorTrees. It was designed to be flexible, easy to use, reactive and fast. Even if our main use-case is robotics, you can use this library to build AI for games, or to replace Finite State Machines. There are few features which make BehaviorTree.CPP unique, when compared to other implementations: It makes asynchronous Actions, i.e. non-blocking, a first-class citizen. You can build reactive behaviors that execute multiple Actions concurrently (orthogonality). Trees are defined using a Domain Specific scripting language (based on XML), and can be loaded at run-time; in other words, even if written in C++, the morphology of the Trees is not hard-coded. You can statically link your custom TreeNodes or convert them into plugins and load them at run-time. It provides a type-safe and flexible mechanism to do Dataflow between Nodes of the Tree. It includes a logging/profiling infrastructure that allows the user to visualize, record, replay and analyze state transitions.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

Open Data QnA is a Python library that allows users to interact with their PostgreSQL or BigQuery databases in a conversational manner, without needing to write SQL queries. The library leverages Large Language Models (LLMs) to bridge the gap between human language and database queries, enabling users to ask questions in natural language and receive informative responses. It offers features such as conversational querying with multiturn support, table grouping, multi schema/dataset support, SQL generation, query refinement, natural language responses, visualizations, and extensibility. The library is built on a modular design and supports various components like Database Connectors, Vector Stores, and Agents for SQL generation, validation, debugging, descriptions, embeddings, responses, and visualizations.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.

DataLine is an AI-driven data analysis and visualization tool designed for technical and non-technical users to explore data quickly. It offers privacy-focused data storage on the user's device, supports various data sources, generates charts, executes queries, and facilitates report building. The tool aims to speed up data analysis tasks for businesses and individuals by providing a user-friendly interface and natural language querying capabilities.

LLM Datasets is a repository containing high-quality datasets, tools, and concepts for LLM fine-tuning. It provides datasets with characteristics like accuracy, diversity, and complexity to train large language models for various tasks. The repository includes datasets for general-purpose, math & logic, code, conversation & role-play, and agent & function calling domains. It also offers guidance on creating high-quality datasets through data deduplication, data quality assessment, data exploration, and data generation techniques.

Empirical is a tool that allows you to test different LLMs, prompts, and other model configurations across all the scenarios that matter for your application. With Empirical, you can run your test datasets locally against off-the-shelf models, test your own custom models and RAG applications, view, compare, and analyze outputs on a web UI, score your outputs with scoring functions, and run tests on CI/CD.

Middleware is an open-source engineering management tool that helps engineering leaders measure and analyze team effectiveness using DORA metrics. It integrates with CI/CD tools, automates DORA metric collection and analysis, visualizes key performance indicators, provides customizable reports and dashboards, and integrates with project management platforms. Users can set up Middleware using Docker or manually, generate encryption keys, set up backend and web servers, and access the application to view DORA metrics. The tool calculates DORA metrics using GitHub data, including Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate. Middleware aims to provide DORA metrics to users based on their Git data, simplifying the process of tracking software delivery performance and operational efficiency.

LazyLLM is a low-code development tool for building complex AI applications with multiple agents. It assists developers in building AI applications at a low cost and continuously optimizing their performance. The tool provides a convenient workflow for application development and offers standard processes and tools for various stages of application development. Users can quickly prototype applications with LazyLLM, analyze bad cases with scenario task data, and iteratively optimize key components to enhance the overall application performance. LazyLLM aims to simplify the AI application development process and provide flexibility for both beginners and experts to create high-quality applications.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

EDA GPT is an open-source data analysis companion that offers a comprehensive solution for structured and unstructured data analysis. It streamlines the data analysis process, empowering users to explore, visualize, and gain insights from their data. EDA GPT supports analyzing structured data in various formats like CSV, XLSX, and SQLite, generating graphs, and conducting in-depth analysis of unstructured data such as PDFs and images. It provides a user-friendly interface, powerful features, and capabilities like comparing performance with other tools, analyzing large language models, multimodal search, data cleaning, and editing. The tool is optimized for maximal parallel processing, searching internet and documents, and creating analysis reports from structured and unstructured data.

ContextCite is a tool for attributing statements generated by LLMs back to specific parts of the context. It allows users to analyze and understand the sources of information used by language models in generating responses. By providing attributions, users can gain insights into how the model makes decisions and where the information comes from.

Enables sales & marketing leadership to identify high-value AI use cases

Structured analyzer of business case PDFs with tailored insights.

Show me your job description or just describe what you do professionally, and I'll help you identify high value use cases for AI in your day-to-day work. I'll also coach you on simple techniques to get the best out of ChatGPT.

I write detailed CSW reports and track user progress for improvement.

I provide engaging summaries and insights on academic case studies with a distinctive tone.

A lawyer specializing in contract law, referencing case law.

A moot competition companion. & Trial Prep companion . Test and improve arguments- predict your opponent's reaction.

Drop your requirements here and we'll Simply input, analyze, and refine for corner case detection!

Assists in solving cold case crimes with adjustable settings and personalization.

Solving cold cases with deep analysis and creating PDF summaries.

Detective solving cold cases via net.

A legal research assistant for case discovery.

Case Analysis, Cross-X Assistance, Contradiction Identifier, and Counter-Argument Generator

Algorithm-focused test case generator.

Play as a detective to investigate the case and find out the truth.

Expert in AI legal research by Prof. Kiskinov, SJD

Legal Insight Analyst-Lia is an advanced AI companion designed to empower legal professionals with unparalleled support in the world of law. By leveraging cutting-edge technologies, Lia simplifies and enhances legal research, analysis, and decision-making processes.

Ekspert za srpsko pravo i sudsku praksu.

Expert in Ontario law, offering bilingual legal analysis and practical guidance.

En AI-assistent utvecklad av juridikstudenter med expertis inom svensk och EU-lagstiftning för att stödja juridiska yrkesverksamma, studenter och allmänheten.