Best AI tools for< Conduct Research >

Profundo is an AI-powered research assistant that automates data collection, analysis, and reporting. It enables users to conduct in-depth research on various topics efficiently and accurately. With cutting-edge AI algorithms, Profundo minimizes errors, maximizes productivity, and provides user-friendly interface for seamless integration with existing tools. Trusted by professionals, Profundo is used for self-study, content creation, academic research, industry analysis, and more.

Google Research is a leading research organization focusing on advancing science and artificial intelligence. They conduct research in various domains such as AI/ML foundations, responsible human-centric technology, science & societal impact, computing paradigms, and algorithms & optimization. Google Research aims to create an environment for diverse research across different time scales and levels of risk, driving advancements in computer science through fundamental and applied research. They publish hundreds of research papers annually, collaborate with the academic community, and work on projects that impact technology used by billions of people worldwide.

The Research Center Trustworthy Data Science and Security is a hub for interdisciplinary research focusing on building trust in artificial intelligence, machine learning, and cyber security. The center aims to develop trustworthy intelligent systems through research in trustworthy data analytics, explainable machine learning, and privacy-aware algorithms. By addressing the intersection of technological progress and social acceptance, the center seeks to enable private citizens to understand and trust technology in safety-critical applications.

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.

Prolific is a platform that allows users to quickly find research participants they can trust. It offers a diverse participant pool, including domain experts and API integration. Prolific ensures high-quality human-powered datasets in less than 2 hours, trusted by over 3000 organizations. The platform is designed for ease of use, with self-serve options and scalability. It provides rich, accurate, and comprehensive responses from engaged participants, verified through manual and algorithmic quality checks.

Anthropic is an AI safety and research company based in San Francisco. Our interdisciplinary team has experience across ML, physics, policy, and product. Together, we generate research and create reliable, beneficial AI systems.

User Evaluation is an AI-first user research platform that leverages AI technology to provide instant insights, comprehensive reports, and on-demand answers to enhance customer research. The platform offers features such as AI-driven data analysis, multilingual transcription, live timestamped notes, AI reports & presentations, and multimodal AI chat. User Evaluation empowers users to analyze qualitative and quantitative data, synthesize AI-generated recommendations, and ensure data security through encryption protocols. It is designed for design agencies, product managers, founders, and leaders seeking to accelerate innovation and shape exceptional product experiences.

Verk is an AI tool that offers AI-content writing and market research services. It provides users with the ability to generate blogs, content, copy, and conduct market research through AI-powered assistants named Amelia and Jake. The platform aims to assist individuals and businesses in creating high-quality written content and conducting thorough market analysis efficiently.

DMLR (Data-centric Machine Learning Research) is an AI tool that focuses on advancing research in data-centric machine learning. It organizes workshops, research retreats, maintains a journal, and runs a working group to support infrastructure projects. The platform covers topics such as data collection, governance, bias, and drifts, as well as data-centric explainable AI and AI alignment. DMLR encourages submissions around the theme of AI for Science, using AI to tackle scientific challenges and accelerate discoveries.

Tavily is an AI-powered research assistant that helps users gather information from multiple online sources and organize it into comprehensive research reports. It uses advanced algorithms and models to ensure the accuracy of the information provided and can be integrated with any LLM. Tavily is suitable for both individuals and enterprises who need to conduct research to make unbiased and informed decisions.

PromptLoop is an AI-powered web scraping and data extraction platform that allows users to run AI automation tasks on lists of data with a simple file upload. It enables users to crawl company websites, categorize entities, and conduct research tasks at a fraction of the cost of other alternatives. By leveraging unique company data from spreadsheets, PromptLoop enables the creation of custom AI models tailored to specific needs, facilitating the extraction of valuable insights from complex information.

The Center for AI Safety (CAIS) is a research and field-building nonprofit organization based in San Francisco. They conduct impactful research, advocacy projects, and provide resources to reduce societal-scale risks associated with artificial intelligence (AI). CAIS focuses on technical AI safety research, field-building projects, and offers a compute cluster for AI/ML safety projects. They aim to develop and use AI safely to benefit society, addressing inherent risks and advocating for safety standards.

AI at Wharton is a dedicated AI research center at the Wharton School, University of Pennsylvania. It fosters, coordinates, and promotes AI activities, focusing on designing algorithms to improve business processes and human behavior. The center collaborates with industry leaders and Chief Data Officers to develop frameworks for responsible AI adoption, aiming to maximize AI value for businesses. Through research, events, and publications, AI at Wharton explores the transformative potential of AI in various fields and industries.

Grand Studio is an AI design studio that specializes in UX design, digital products, strategy, and research. They use design thinking to tackle complex challenges and create innovative solutions for their partners. Their services include service design, qualitative research, product design and strategy, UX/UI design, and conversation design. Grand Studio aims to turn complexity into clarity by designing products, systems, and services that help users succeed. They work with a variety of partners across different industries to bring unique visions to life.

Myko Assistant is an advanced AI-powered deep search tool developed by Myko AI, a top AI 100 company ranked by CB Insights in 2024. It supercharges efficiency by generating leads, conducting company research, identifying hiring targets, and more - all through simple email communication. The assistant tirelessly seeks out complete and accurate information to provide users with verified responses, ensuring unwavering accuracy in the results.

PDFChatto is an AI-powered tool that allows users to instantly summarize and get answers from PDF documents for free. It transforms PDFs into gateways to insights by enabling users to ask questions, conduct research, and explore content with clear, concise answers in real time. With features like text-to-speech capabilities and multilingual support, PDFChatto offers a seamless and powerful way to interact with documents, catering to students, researchers, professionals, and anyone who regularly works with PDFs.

The Munich Center for Machine Learning (MCML) is a top spot for AI and ML research in Europe. It is one of six national AI Competence Centers funded by the German and Bavarian government's AI strategy. MCML brings together leading ML researchers from LMU, TUM, and associated institutions to transfer innovations and AI potential to industry and society. The center's vision is to unite leading researchers in Germany to strengthen competence in ML and AI at international, national, and regional levels, fostering talent and making potential accessible to users from various sectors.

Lede is an AI-powered content generation tool that uses data from Reddit to create long-form content, including blog posts, Q&A articles, news roundups, and research reports. It analyzes Reddit conversations, questions, and comments to generate rich, SEO-optimized articles with more than 2,000 words. Lede provides access to all the source data and a summary of key takeaways, making it easy for content creators to explore interesting ideas and create engaging content that their audience is already interested in.

Cognosys is an AI-powered assistant that helps you simplify your workflows and automate tasks. With Cognosys, you can hand off tasks to AI Agents, so you can concentrate on what really matters. Cognosys can do more than answer questions. It's capable of breaking down complex objectives by creating tasks for itself and accomplishing them autonomously.

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.

Open Deep Research is an open-source project that serves as a clone of Open AI's Deep Research experiment. It utilizes Firecrawl's extract and search method along with a reasoning model to conduct in-depth research on the web. The project features Firecrawl Search + Extract, real-time data feeding to AI via search, structured data extraction from multiple websites, Next.js App Router for advanced routing, React Server Components and Server Actions for server-side rendering, AI SDK for generating text and structured objects, support for various model providers, styling with Tailwind CSS, data persistence with Vercel Postgres and Blob, and simple and secure authentication with NextAuth.js.

This repository contains code for research conducted by the LLM-Random research group at IDEAS NCBR in Warsaw, Poland. The group focuses on developing and using this repository to conduct research. For more information about the group and its research, refer to their blog, llm-random.github.io.

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks. It can produce detailed, factual, and unbiased research reports with customization options. The tool addresses issues of speed, determinism, and reliability by leveraging parallelized agent work. The main idea involves running 'planner' and 'execution' agents to generate research questions, seek related information, and create research reports. GPT Researcher optimizes costs and completes tasks in around 3 minutes. Features include generating long research reports, aggregating web sources, an easy-to-use web interface, scraping web sources, and exporting reports to various formats.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

This web UI tool is designed to enhance the user experience of the deep-research repository by providing a safe and secure environment for conducting AI research. It offers features such as real-time feedback, search visualization, export as PDF, support for various AI models, and Docker deployment. Users can interact with multiple AI providers and web search services, making research processes more efficient and accessible. The tool also includes recent updates that improve functionality and fix bugs, ensuring a seamless experience for users.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

PHS-AI is a project that provides functionality as is, without any warranties or commitments. Users are advised to exercise caution when using the code and conduct thorough testing before deploying in a production environment. The author assumes no responsibility for any losses or damages incurred through the use of this code. Feedback and contributions to improve the project are always welcome.

AIW is a code base for experiments and raw data related to Alice in Wonderland, showcasing complete reasoning breakdown in state-of-the-art large language models. Users can collect experiments data using LiteLLM and TogetherAI, and plot the data using provided scripts. The tool allows for executing experiments over LiteLLM and lmsys, with options for different prompt types and AIW variations. The project also includes acknowledgments and a citation for reference.

LLM4AD is an open-source Python-based platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). It provides unified interfaces for methods, tasks, and LLMs, along with features like evaluation acceleration, secure evaluation, logs, GUI support, and more. The platform was originally developed for optimization tasks but is versatile enough to be used in other areas such as machine learning, science discovery, game theory, and engineering design. It offers various search methods and algorithm design tasks across different domains. LLM4AD supports remote LLM API, local HuggingFace LLM deployment, and custom LLM interfaces. The project is licensed under the MIT License and welcomes contributions, collaborations, and issue reports.

FunClip is an open-source, locally deployed automated video clipping tool that leverages Alibaba TONGYI speech lab's FunASR Paraformer series models for speech recognition on videos. Users can select text segments or speakers from recognition results to obtain corresponding video clips. It integrates industrial-grade models for accurate predictions and offers hotword customization and speaker recognition features. The tool is user-friendly with Gradio interaction, supporting multi-segment clipping and providing full video and target segment subtitles. FunClip is suitable for users looking to automate video clipping tasks with advanced AI capabilities.

SwarmZero SDK is a library that simplifies the creation and execution of AI Agents and Swarms of Agents. It supports various LLM Providers such as OpenAI, Azure OpenAI, Anthropic, MistralAI, Gemini, Nebius, and Ollama. Users can easily install the library using pip or poetry, set up the environment and configuration, create and run Agents, collaborate with Swarms, add tools for complex tasks, and utilize retriever tools for semantic information retrieval. Sample prompts are provided to help users explore the capabilities of the agents and swarms. The SDK also includes detailed examples and documentation for reference.

FunClip is an open-source, locally deployable automated video editing tool that utilizes the FunASR Paraformer series models from Alibaba DAMO Academy for speech recognition in videos. Users can select text segments or speakers from the recognition results and click the clip button to obtain the corresponding video segments. FunClip integrates advanced features such as the Paraformer-Large model for accurate Chinese ASR, SeACo-Paraformer for customized hotword recognition, CAM++ speaker recognition model, Gradio interactive interface for easy usage, support for multiple free edits with automatic SRT subtitles generation, and segment-specific SRT subtitles.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

Awesome Agents is a curated list of open source AI agents designed for various tasks such as private interactions with documents, chat implementations, autonomous research, human-behavior simulation, code generation, HR queries, domain-specific research, and more. The agents leverage Large Language Models (LLMs) and other generative AI technologies to provide solutions for complex tasks and projects. The repository includes a diverse range of agents for different use cases, from conversational chatbots to AI coding engines, and from autonomous HR assistants to vision task solvers.

Prompt4ReasoningPapers is a repository dedicated to reasoning with language model prompting. It provides a comprehensive survey of cutting-edge research on reasoning abilities with language models. The repository includes papers, methods, analysis, resources, and tools related to reasoning tasks. It aims to support various real-world applications such as medical diagnosis, negotiation, etc.

Generative Models by Stability AI is a repository that provides various generative models for research purposes. It includes models like Stable Video 4D (SV4D) for video synthesis, Stable Video 3D (SV3D) for multi-view synthesis, SDXL-Turbo for text-to-image generation, and more. The repository focuses on modularity and implements a config-driven approach for building and combining submodules. It supports training with PyTorch Lightning and offers inference demos for different models. Users can access pre-trained models like SDXL-base-1.0 and SDXL-refiner-1.0 under a CreativeML Open RAIL++-M license. The codebase also includes tools for invisible watermark detection in generated images.

Awesome LLM is a curated list of resources related to Large Language Models (LLMs), including models, projects, datasets, benchmarks, materials, papers, posts, GitHub repositories, HuggingFace repositories, and reading materials. It provides detailed information on various LLMs, their parameter sizes, announcement dates, and contributors. The repository covers a wide range of LLM-related topics and serves as a valuable resource for researchers, developers, and enthusiasts interested in the field of natural language processing and artificial intelligence.

Expert AI research question assistant.

Expert in detailed, interactive, and multilingual research analysis.

Guide in GPT creation with interactive research

Your supportive partner in SaaS sales strategy! Helps you find new leads, conducts research, and much more!

Korean report writing assistant, focused on data and research.

The Collective: Diverse expertise for well-rounded, researched responses.

Assistant for doctors in diagnosis, treatment planning, and medical research.

Especialista em Teses e Dissertações de Farmácia

Experto en educación y evaluación de aprendizajes. Parte de equipo de investigación del proyecto MEICCA

Build extensions using the Eyeware Beam eye tracking SDK

The evolutionary psychologist answers questions based on academic sources

Generates essay hypotheses with explanations across different academic fields.

A professional PHD from Harvard who studies gender and sexuality in science fiction.

Uzun ve ayrıntılı akademik danışmanlık sunar.

Assistente de Teses e Dissertações de Engenharia Nuclear

Expert on 'The Miles Paper', focusing on specimen anatomy.

Sérfræðingur í kostnaði og áhrifum vímuefnabanns

Assists with thesis on SMEs and tech adoption during COVID-19.

Expert in creating surveys for causal experimentation.