Best AI tools for< Analyze Reports >

Attio is a powerful and flexible customer relationship management (CRM) tool designed to empower businesses to build their own customized CRM systems. With Attio, users can create their dream CRM using templates, customize workflows, scale their business with enriched data and integrations, and analyze real-time reports. The tool offers features like permission control, real-time collaboration, note-taking, quick actions, automatic enrichment, Chrome extension, contact analysis, and filters. Attio is loved by builders for its collaboration features and flexibility, making it a popular choice for managing customer relationships effectively.

Upword is an AI-powered research assistant that seamlessly integrates AI with traditional research methods, empowering users to control every step of the research process. By combining Generative AI with user input, Upword enhances research efficiency and insights. The platform allows users to define research projects, curate trusted sources, collaborate with AI for insights, organize and refine research findings, and create impactful documents. Upword offers features such as summarizing YouTube videos, studying academic articles, analyzing market reports, and reading professional papers. With a privacy-first approach, Upword ensures data safety and provides users with an unfair advantage in research endeavors.

BoldDesk by Syncfusion is a comprehensive customer service software designed to effortlessly resolve 70% of customer inquiries. It offers features such as ticketing system, live chat support, omnichannel inbox, knowledge base, task management, and AI Copilot. The application aims to enhance customer service efficiency through automation, collaboration, and customization. BoldDesk provides workflow automation, contact management, reports & analytics, mobile app, customer portal, apps & integrations, and satisfaction survey (CSAT). It caters to startups, small businesses, and enterprises, offering solutions for email ticketing, shared inbox software, multi-brand help desk, internal help desk software, trouble ticketing software, and embedded help widgets.

ChatInDoc is an AI-powered tool designed to revolutionize the way people interact with and comprehend lengthy documents. By leveraging cutting-edge AI technology, ChatInDoc offers users the ability to efficiently analyze, summarize, and extract key information from various file formats such as PDFs, Office documents, and text files. With features like IR analysis, term lookup, PDF viewing, and AI-powered chat capabilities, ChatInDoc aims to streamline the process of digesting complex information and enhance productivity. The application's user-friendly interface and advanced AI algorithms make it a valuable tool for students, professionals, and anyone dealing with extensive document reading tasks.

DocsChat is an AI-powered document conversation tool that revolutionizes the way users interact with various types of documents. It leverages OCR-powered AI technology to streamline document interactions, making it easier to comprehend, exchange knowledge, troubleshoot, and navigate through different document types. With a focus on enhancing user experiences across reading, research, business, legal, and training domains, DocsChat offers a versatile platform for effortless and personalized document engagement.

Zeedle AI is an AI tool designed to help users launch their business with the power of artificial intelligence and ads. It offers a platform where users can explore business ideas, create top ads creatives, websites, and utilize AI technology to kickstart their ventures. With a user-friendly interface, Zeedle AI aims to streamline the process of starting a business by providing tools and resources to turn ideas into reality.

Mosaic is a modern, automated, and AI-powered resource planning, management, and forecasting software designed to maximize profitability by providing a fast, easy, and visual way to plan resource allocation, assemble project teams, and understand workload capacity. It offers features such as AI team building, workload forecasting, headcount planning, and capacity planning. Mosaic helps organizations improve planning efficiency, drive profitability, and reduce burnout by visualizing workload, managing people together, and building project schedules around actual capacity. The software provides real-time reports, out-of-the-box reporting, and dashboard analytics for better decision-making. Mosaic is collaborative, intuitive, and automated, making complex processes visual and easy to use.

LearnWorlds is an AI-powered Learning Management System (LMS) designed to help course creators build and sell online courses. It offers a wide range of features such as flexible course creation, AI assistant, interactive video, live sessions, assessment builder, survey builder, website builder, mobile app builder, pop-up builder, custom user roles, analytics & reports, white-label website, marketing tools, SCORM compatibility, checkout & payments, bundles & subscriptions, affiliate programs, and integrations. The platform caters to various industries and provides solutions for customer training, enterprise LMS, non-profit organizations, creators, coaching, fitness, finance, health, and employee training. LearnWorlds aims to provide engaging and effective training experiences through interactive videos, ebooks, assessments, and social-first learning environments. It also offers tools for building high-converting websites, profitable marketing funnels, white-label course platforms, and mobile apps. The platform is known for its versatility, ease of use, and extensive integrations with marketing tools.

Buzz is an all-in-one sales engagement platform designed to help revenue teams engage more prospects and close more deals efficiently. It combines data sourcing, automation, and lead management to enable direct engagement with ideal clients. The platform offers features such as real-time inbox with detailed profile info, social outreach, email outreach, data enrichment, and pipeline management. Buzz also provides personalized AI assistance through a Chrome extension, allowing users to reach the right people at the right time through various channels. With seamless integrations and detailed reports, Buzz empowers users to make data-driven decisions and optimize their sales strategies.

ClearAI is an AI-powered platform that offers instant extraction of insights, effortless document navigation, and natural language interaction. It enables users to upload PDFs securely, ask questions, and receive accurate responses in seconds. With features like structured results, intelligent search, and lifetime access offers, ClearAI simplifies tasks such as analyzing company reports, risk assessment, audit support, contract review, legal research, and due diligence. The platform is designed to streamline document analysis and provide relevant data efficiently.

LearnUpon is an AI-powered Learning Management System (LMS) that offers a comprehensive platform for creating, delivering, and managing training programs. It provides a seamless learning experience for both teams and learners, with features such as course creation, training delivery, learner engagement, user management, AI-powered learning, portals, and reporting. LearnUpon Anywhere allows for the integration of customer education directly into product experiences. The platform is designed to streamline training tasks, automate processes, and personalize learning programs using AI technology. With a focus on customer experience, security, and scalability, LearnUpon aims to drive impactful learning outcomes for businesses of all sizes.

The repository 'LLM-for-Healthcare' provides a comprehensive survey of large language models (LLMs) for healthcare, covering data, technology, applications, and accountability and ethics. It includes information on various LLM models, training data, evaluation methods, and computation costs. The repository also discusses tasks such as NER, text classification, question answering, dialogue systems, and generation of medical reports from images in the healthcare domain.

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.

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.

WeChatMsg is a tool designed to help users manage and analyze their WeChat data. It aims to provide users with the ability to preserve their precious memories and create a personalized AI companion. The tool allows users to extract and export various types of data from WeChat, such as text, images, contacts, and more. Additionally, it offers features like analyzing chat data and generating visual annual reports. WeChatMsg is built on the idea of empowering users to take control of their data and foster emotional connections through technology.

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.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

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.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

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.

GenAIScript is a scripting environment designed to facilitate file ingestion, prompt development, and structured data extraction. Users can define metadata and model configurations, specify data sources, and define tasks to extract specific information. The tool provides a convenient way to analyze files and extract desired content in a structured format. It offers a user-friendly interface for working with data and automating data extraction processes, making it suitable for various data processing tasks.

ceLLama is a streamlined automation pipeline for cell type annotations using large-language models (LLMs). It operates locally to ensure privacy, provides comprehensive analysis by considering negative genes, offers efficient processing speed, and generates customized reports. Ideal for quick and preliminary cell type checks.

LLMPerf is a tool designed for evaluating the performance of Language Model APIs. It provides functionalities for conducting load tests to measure inter-token latency and generation throughput, as well as correctness tests to verify the responses. The tool supports various LLM APIs including OpenAI, Anthropic, TogetherAI, Hugging Face, LiteLLM, Vertex AI, and SageMaker. Users can set different parameters for the tests and analyze the results to assess the performance of the LLM APIs. LLMPerf aims to standardize prompts across different APIs and provide consistent evaluation metrics for comparison.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Parrot.nvim is a Neovim plugin that prioritizes a seamless out-of-the-box experience for text generation. It simplifies functionality and focuses solely on text generation, excluding integration of DALLE and Whisper. It supports persistent conversations as markdown files, custom hooks for inline text editing, multiple providers like Anthropic API, perplexity.ai API, OpenAI API, Mistral API, and local/offline serving via ollama. It allows custom agent definitions, flexible API credential support, and repository-specific instructions with a `.parrot.md` file. It does not have autocompletion or hidden requests in the background to analyze files.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

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.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

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I'm an Auditor GPT, here to inform about auditing and financial examinations.

Expert in European Sustainability Reporting Standards (ESRS). Trained on official documentation as well as expert consultants across all sectors. Includes voluntary standards.

A useless GPT trained on corporate jargons.

I read and analyze annual reports of companies. Just upload the annual report PDF and start asking me questions!

Analyzes annual reports, focusing on specific user-provided data

I turn blood reports into lively dietary advice!

Analyzes earnings reports using Warren Buffett's investment model.

专注于“投资策略”类型的研报分析总结，提炼对行业配置的核心观点 Focusing on the analysis and summary of research reports on the type of "investment strategy", refining core perspectives on industry allocation

Analyzes medical and X-ray reports, underlines need for professional advice.

I assist you in understanding the details of a company's financial results based on provided earnings data. If you have an earnings report you'd like me to analyze, feel free to share it, and I'll provide detailed insights and interpretations!

Balances out bias and researches live reports to give you a more balanced view (Paste in the text you want to check)

Expert on ESG topics, providing detailed, up-to-date, and structured answers.

System Attributes: Legacy System, Diplomatic Clearance, Special Purpose Executive Clearance, REDACTED, REDACTED

I analyze websites and blog posts for technical SEO compliance and provide detailed reports.

I help users to understand and draw insights from AidData's BRI Reboot report, available here: https://www.aiddata.org/publications/belt-and-road-reboot

GPT based on the reports produced by the CIPR AI in PR panel

Objective conflict reports

Your decipher in financial report analysis, translating reports easy and apprehensible.

Analyzes bug bounty writeups and cybersecurity reports, providing structured insights and tips.