Best AI tools for< Collect And Analyze Data >

Biofourmis is a healthcare technology company that provides a connected technology platform for care delivery and drug development. The platform enables healthcare systems and pharmaceutical companies to deliver care and conduct clinical trials remotely, and to collect and analyze data to improve patient outcomes. Biofourmis's solutions have been shown to improve clinical, operational, and economic outcomes, such as reducing 30-day readmissions by 70%, detecting deterioration 21 hours sooner, and reducing cost of care by up to 38%.

Marvin is an AI research software that serves as the perfect AI research assistant for qualitative research. It automates tedious parts of qualitative research, allowing users to analyze hours of research in minutes. Marvin helps in centralizing, searching, and sharing user research data, making it easily accessible for the whole team. With AI-powered enhancements, Marvin assists in consolidating user insights, finding patterns, and backing decisions with evidence. The tool streamlines the research journey by managing user interview panels, recruiting participants effectively, and providing features like automatic transcripts, video clips, and privacy filters for compliance. Marvin offers different pricing plans suitable for small teams, startups, companies with multiple teams, and large organizations.

Raay is an AI-powered forms and surveys platform that helps users create, share, run, and analyze data. It offers a range of features including highly integrable forms, bias detection, and meaningful insights. Raay's affordable pricing plans make it accessible to users of all levels.

AIGO.tools is an AI directory website that serves as a comprehensive platform for discovering and accessing a wide range of AI tools. Users can explore and find various AI writing tools, AI marketing tools, AI paraphrasing tools, AI SEO tools, AI study tools, AI generator tools, AI research tools, AI art tools, AI music tools, AI video tools, AI coding tools, AI photo tools, and more. The website features a free AI Tools Directory, a Startup List for AI tool developers, and supports the submission of AI tools to enhance visibility and promote innovation in the AI community.

StrawPoll.ai is an AI-powered platform that offers tools for creating polls, generating charts, and utilizing machine learning to analyze data. Users can easily create polls tailored to their needs, share them to collect responses, and analyze the data using built-in chart and machine learning tools. The platform also provides a chart maker tool for visualizing existing data and a machine learning tool for building predictive models by identifying patterns in the data. Additionally, users can access guides for assistance and contact support for any queries.

MakeForms is a powerful and secure form builder that empowers teams to create advanced, visually stunning forms with top-notch security standards, now enhanced by AI capabilities. With MakeForms, you can create one-at-a-time, step forms, or all-at-once forms with ease using our user-friendly interface and intuitive design. You can also customize your forms with your own fonts and branding, and even publish them on your own domain, giving you complete control over your form's appearance and online presence. MakeForms also offers a variety of features to help you collect and organize your data, including a table view, summary view, and BI view. With MakeForms, you can be sure that your forms are secure and your data is protected.

AskHumans is a conversational feedback platform that enables businesses to collect and analyze customer feedback at scale. It uses AI to analyze open-ended questions and provide insights on customer opinions and experiences. This information can be used to improve products and services, align with customer needs, and create content for marketing and SEO.

Dezan AI is a DIY data collection and analysis platform powered by AI, designed to help users generate surveys in seconds. The platform allows users to set survey goals, craft surveys, and collect real-time data from interest-based respondents worldwide. Dezan AI offers various survey templates, question types, and data analysis features to streamline the survey creation process. With a focus on interest targeting, the platform ensures reaching the right audience for data collection campaigns. Users can enhance their surveys with AI suggestions and deploy campaigns through Google Ads for targeted audience engagement.

Re-View is an AI-powered platform that enables users to conduct surveys that capture more than words by utilizing user-friendly video survey forms. The platform allows users to understand emotions, uncover insights, and collect more and better data through authentic emotional connections. With features like automatic insights, efficient research at scale, stunning simplicity, and powerful research capabilities, Re-View offers a practical pricing model that makes research accessible to all. Users can easily create surveys, analyze responses with AI assistance, and gain valuable research reports to support decision-making.

Holler is an AI-powered survey tool that helps businesses collect feedback and gain insights from their customers. It is designed to be simple and easy to use, with a variety of features that make it a powerful tool for businesses of all sizes. Holler can be used to collect feedback on a variety of topics, including customer satisfaction, product development, and employee engagement. The AI-powered insights engine can help businesses identify trends and patterns in the data, and make recommendations for how to improve their products and services.

Cloodot is an omni-channel customer experience management platform that helps businesses manage customer interactions across multiple channels, including Google Business Messages, Facebook, Instagram, WhatsApp, SMS, and webchat. It offers features such as AI-powered quick responses, custom canned replies, automatic summarization of interactions, customer segmentation, and performance analytics. Cloodot also provides review management tools, allowing businesses to collect and respond to reviews from Google My Business and Facebook.

Personno.ai is an AI-driven market research platform that provides businesses with access to a pool of AI-generated respondents. These respondents are designed to mimic the behavior and characteristics of real human respondents, allowing businesses to conduct research studies quickly and cost-effectively. Personno.ai's platform includes a range of features that make it easy to create and manage research studies, including the ability to create custom audiences, conduct real-time interviews, and collect both qualitative and quantitative data.

involve.me is an AI-powered platform that allows users to create high-converting forms, surveys, quizzes, and calculators for interactive user flows that boost website conversions. It offers a wide range of pre-built templates and customization options to fit brand identities. The platform provides features like AI form generation, quiz creation, survey building, and analytics insights to help businesses collect quality data and increase user engagement. With involve.me, users can automate sales processes, personalize customer interactions, and grow their email list effortlessly.

Trove is an AI-powered platform that enables users to create ChatGPT-like forms and surveys. It leverages advanced natural language processing technology to streamline the process of gathering information and feedback from users. With Trove, users can easily design interactive and engaging forms and surveys to collect valuable insights and data. The platform offers a user-friendly interface and customizable features to cater to various needs and preferences. Trove is designed to enhance user engagement and improve data collection efficiency for businesses, researchers, educators, and other professionals.

Cardinal is an AI-powered product backlog tool that helps product managers prioritize features and make data-driven decisions. It integrates with your CRM and customer support tools to collect customer feedback and revenue data, which it then uses to identify the most valuable features to build. Cardinal also provides a clear view of your product roadmap and progress, so you can always see what's coming up and how it's aligned with your business goals.

SurveyMonkey is a popular free online survey tool that offers a wide range of features to help users create, distribute, and analyze surveys. With integrations, customizable forms, AI-powered survey creation, and market research solutions, SurveyMonkey caters to various industries and roles. It provides templates for different use cases like customer satisfaction, employee feedback, and event registration. The platform also offers resources, blog posts, and customer success stories to guide users in maximizing the benefits of survey data.

Deepform is a customer feedback portal software that allows software teams to capture, organize, and analyze product feedback in one place. It helps teams build products that their customers love by providing a platform for customers to share ideas, vote on features, and engage in discussions.

LookupKit AI Tools Directory is a platform that offers a curated collection of AI tools for various purposes. Users can explore and discover cutting-edge AI applications in different domains such as text-writing, image processing, video creation, coding assistance, voice technology, business analytics, marketing automation, AI detection, chatbot development, design, art, life assistance, 3D modeling, education, productivity enhancement, and more. The platform aims to provide a comprehensive directory of AI tools to cater to the diverse needs of users across industries and sectors.

Vocads is a conversational voice AI platform that reinvents the survey experience. It allows companies to collect richer data, improve their strategy, and retain clients through voice surveys. Vocads also provides employee voice surveys to engage employees, improve management, and upgrade company culture. The platform is easy to use with its no-code design, allowing users to create voice surveys from scratch instinctively and save templates for reuse. Vocads is GDPR compliant and offers data sovereignty, giving brands full control over their data.

Eclipse AI is an AI-powered customer feedback analytics platform that helps businesses seamlessly collect and unify customer feedback from various channels. By automating the analysis process, Eclipse AI provides actionable insights to improve customer experience and drive retention. The platform centralizes voice-of-customer data, saves hours of manual work, and enables businesses to make data-driven decisions to enhance customer loyalty and boost profitability.

Lance is a modern columnar data format optimized for ML workflows and datasets. It offers high-performance random access, vector search, zero-copy automatic versioning, and ecosystem integrations with Apache Arrow, Pandas, Polars, and DuckDB. Lance is designed to address the challenges of the ML development cycle, providing a unified data format for collection, exploration, analytics, feature engineering, training, evaluation, deployment, and monitoring. It aims to reduce data silos and streamline the ML development process.

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.

ChatAFL is a protocol fuzzer guided by large language models (LLMs) that extracts machine-readable grammar for protocol mutation, increases message diversity, and breaks coverage plateaus. It integrates with ProfuzzBench for stateful fuzzing of network protocols, providing smooth integration. The artifact includes modified versions of AFLNet and ProfuzzBench, source code for ChatAFL with proposed strategies, and scripts for setup, execution, analysis, and cleanup. Users can analyze data, construct plots, examine LLM-generated grammars, enriched seeds, and state-stall responses, and reproduce results with downsized experiments. Customization options include modifying fuzzers, tuning parameters, adding new subjects, troubleshooting, and working on GPT-4. Limitations include interaction with OpenAI's Large Language Models and a hard limit of 150,000 tokens per minute.

AI for Science paper collection is an initiative by AI for Science Community to collect and categorize papers in AI for Science areas by subjects, years, venues, and keywords. The repository contains `.csv` files with paper lists labeled by keys such as `Title`, `Conference`, `Type`, `Application`, `MLTech`, `OpenReviewLink`. It covers top conferences like ICML, NeurIPS, and ICLR. Volunteers can contribute by updating existing `.csv` files or adding new ones for uncovered conferences/years. The initiative aims to track the increasing trend of AI for Science papers and analyze trends in different applications.

Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

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The 'Awesome LLMs Planning Reasoning' repository is a curated collection focusing on exploring the capabilities of Large Language Models (LLMs) in planning and reasoning tasks. It includes research papers, code repositories, and benchmarks that delve into innovative techniques, reasoning limitations, and standardized evaluations related to LLMs' performance in complex cognitive tasks. The repository serves as a comprehensive resource for researchers, developers, and enthusiasts interested in understanding the advancements and challenges in leveraging LLMs for planning and reasoning in real-world scenarios.

OpenNARS-for-Applications is an implementation of a Non-Axiomatic Reasoning System, a general-purpose reasoner that adapts under the Assumption of Insufficient Knowledge and Resources. The system combines the logic and conceptual ideas of OpenNARS, event handling and procedure learning capabilities of ANSNA and 20NAR1, and the control model from ALANN. It is written in C, offers improved reasoning performance, and has been compared with Reinforcement Learning and means-end reasoning approaches. The system has been used in real-world applications such as assisting first responders, real-time traffic surveillance, and experiments with autonomous robots. It has been developed with a pragmatic mindset focusing on effective implementation of existing theory.

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.

Simulator Controller is a modular administration and controller application for Sim Racing, featuring a comprehensive plugin automation framework for external controller hardware. It includes voice chat capable Assistants like Virtual Race Engineer, Race Strategist, Race Spotter, and Driving Coach. The tool offers features for setup, strategy development, monitoring races, and more. Developed in AutoHotkey, it supports various simulation games and integrates with third-party applications for enhanced functionality.

ChatGPT-VSCode is a Visual Studio Code integration that allows users to prompt OpenAI's GPT-4, GPT-3.5, GPT-3, and Codex models within the editor. It offers features like using improved models via OpenAI API Key, Azure OpenAI Service deployments, generating commit messages, storing conversation history, explaining and suggesting fixes for compile-time errors, viewing code differences, and more. Users can customize prompts, quick fix problems, save conversations, and export conversation history. The extension is designed to enhance developer experience by providing AI-powered assistance directly within VS Code.

AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.

Fabric is an open-source framework for augmenting humans using AI. It provides a structured approach to breaking down problems into individual components and applying AI to them one at a time. Fabric includes a collection of pre-defined Patterns (prompts) that can be used for a variety of tasks, such as extracting the most interesting parts of YouTube videos and podcasts, writing essays, summarizing academic papers, creating AI art prompts, and more. Users can also create their own custom Patterns. Fabric is designed to be easy to use, with a command-line interface and a variety of helper apps. It is also extensible, allowing users to integrate it with their own AI applications and infrastructure.

Geolocation-OSINT is a repository that provides a comprehensive list of resources, tools, and platforms for geolocation challenges and open-source intelligence. It includes a wide range of mapping services, image search tools, AI-powered geolocation estimators, and satellite imagery archives. The repository covers various aspects of geolocation, from finding GPS coordinates to estimating the size of objects in images. Users can access tools for social media monitoring, street-level imagery, and geospatial analysis. Geolocation-OSINT is a valuable resource for individuals interested in geolocation, mapping, and intelligence gathering.

Discover the versatile capabilities of the ESP32, the go-to board for IoT innovations. Easily create IoT applications leveraging its Wi-Fi and BLE functionalities.

The AI mentor for medical education research

I'm an M&E expert for NGOs, offering professional, detailed guidance to specialists.

Fitness and Wellness Centers collect personal health and fitness data of their clients, including potentially sensitive health metrics, requiring careful handling and protection of this data.

Public transport authorities collect data on travel patterns, fares, and sometimes personal details of passengers, necessitating strong privacy measures.

Build beautiful forms and surveys for free. Analyze the submission data to uncover insights.

Free, beautiful, and AI-generated product surveys

help organizations in investigating computer security incidents and troubleshooting some information technology (IT) operational problems by providing practical guidance on performing computer and network forensics.

I'm Qualitative Quest, here to offer concise advice on qualitative research methods, analysis techniques, and tools.

A GPT/AI system designed to collect, analyze, and summarize recent news from established media outlets, emphasizing balance in perspectives and precision in content delivery, with a default focus on top breaking news stories, adaptable to user-specified topics.

I know so many quotes... You should collect them and save them as a GIF...

Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Supercharge your personal knowledge management journey by using a highlight capturing service (such as Readwise) and then turning those highlights into useful knowledge assets. Examples include flash cards, research abstracts or articles based off the highlights you collect and choose to combine.

Spa and Beauty Salons collect Customer inforation, including personal details and treatment records, necessitating a high level of confidentiality and data protection.

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

Travel and Hospitality Industry. Hotels, Airlines, and Travel Agencies collect personal information like travel histories, passport details, and payment information, necessitating robust privacy and security measures.

Data Privacy for Social Media Companies & Platforms collect detailed personal information, preferences, and interactions of users, making it essential to have strong data privacy policies and practices in place.

Expert in collectible valuation with real-time market data insights.

Enhances user experience through rigorous usability testing and feedback.

Assistant for property management advice and solutions