Best AI tools for< Requirements Analyst >
Infographic
20 - AI tool Sites
Userdoc
Userdoc is a software requirements management tool that uses AI to help teams gather, organize, and maintain their requirements. It offers a variety of features to help teams streamline the requirements process, including AI-powered scoping, detailed user story and acceptance criteria generation, persona management, user journey mapping, and integrations with popular project management tools. Userdoc is designed to help teams save time, improve communication, and build better software.
DevOps Security Platform
DevOps Security Platform is an AI-native security tool designed to automate security requirements definition, enforcement, risk assessments, and threat modeling. It helps companies secure their applications by identifying risks and security requirements at the beginning of the Software Development Lifecycle and enforcing them before go-live. The platform offers innovative features, customization options, and seamless integrations with existing tools to enhance security practices.
Signify
Signify is an AI-powered Compliance Management System designed for manufacturers to automate compliance processes by analyzing documents to ensure regulatory requirements are met throughout the product life cycle. It accelerates time to market, reduces review times, and enhances confidence in supplier choices by automating compliance tasks and providing real-time conformity analysis.
Globality
Globality is an AI-enabled platform that offers autonomous sourcing solutions for modern, global enterprises. The platform leverages AI to provide guidance and insight throughout the sourcing process, enabling businesses to save money, accelerate decision-making, and create new investment opportunities. Globality guarantees significant ROI in the first year and empowers organizations to spend smarter by cutting costs and driving growth. The platform automates sourcing, enhances visibility and analytics, and enables more strategic decision-making for procurement teams.
ResumeDive
ResumeDive is an AI-driven tool designed to enhance resumes and optimize job application processes. It provides personalized feedback, job-specific action items, pros and cons analysis, tailored cover letters, and salary estimation. Users can improve their resume by tailoring skills to job descriptions, meeting ATS standards, and impressing recruiters. The tool offers free audits and affordable credit-based pricing options for users to access its features.
Works
Works is a platform that connects enterprises with the top 1% of remote tech talent. It uses advanced AI technology to ensure precision-matching of talent to project requirements, saving time and resources. Works offers transparent pricing with a flat 10% transaction fee and provides risk-free hiring with payment only when the work is completed to satisfaction.
Super AI
Super AI is a generative AI tool designed as a copilot for data analysts. It is trained by top-tier product company experts and domain experts to provide unparalleled expertise in research, visualization, and data delivery. The tool goes beyond data processing by generating a comprehensive Business Decision Canvas tailored to specific challenges. Super AI offers guided insights, data modeling suggestions, and effortless integration with legacy BI systems. It is designed to convert business requirements into concrete objectives and is supported by a team of domain experts to mentor the AI. With applications in various industries, Super AI accelerates the process of finding business KPIs and generating data stories with expert intelligence.
Airfocus
Airfocus is a strategic product management platform that helps teams manage strategy, understand user needs, prioritize, and align around clear roadmaps. It is a modular platform that can be customized to fit the unique needs of each team. Airfocus offers a variety of features, including OKR tracking, roadmap planning, prioritization, feedback collection, and user engagement. It also integrates with a variety of other tools, such as Jira, Trello, and Asana.
The Legal Wire
The Legal Wire is an AI-powered platform that provides the latest news, resources, and insights on legal technology, compliance, regulations, and artificial intelligence. It offers newsletters, AI hubs, and in-depth articles on various legal topics. The platform aims to keep legal professionals informed about the intersection of law and technology, including the impact of AI on the legal industry.
Onfido
Onfido is a digital identity verification provider that helps businesses verify the identities of their customers online. It offers a range of products and services, including document verification, biometric verification, data verification, and fraud detection. Onfido's solutions are used by businesses in a variety of industries, including financial services, gaming, healthcare, and retail.
PaceAI
PaceAI is an AI assistant designed for IT professionals to generate, analyze, and simplify software documentation on IT projects. It uses advanced generative AI models to understand the user's vision, analyze requirements, and automatically generate clear, concise software documentation tailored to the project's needs. With 35+ powerful AI tools, PaceAI assists in every phase of the project, from planning to deployment.
WriteMyPrd
WriteMyPrd is an AI tool designed to make writing Product Requirements Documents (PRDs) easier and faster. It utilizes ChatGPT Olvy 3.0 to speed up feedback analysis by 10x, helping users get started with writing their PRDs efficiently. The tool assists in providing basic information and features a user-friendly interface for defining requirements and collecting user feedback.
TeamCreate AI
TeamCreate AI is an AI tool that allows users to build their dream AI team in minutes. It offers AI co-workers that can be customized for various roles in Sales, Marketing, Finance, Product, Support, Operations, and more. Users can assign tasks, connect AI workers to 200+ apps and tools, and communicate via Slack and email. TeamCreate AI aims to help businesses scale rapidly without financial constraints and time-consuming recruitment processes.
Spellmint
Spellmint is an AI-powered team planning tool that revolutionizes the way teams collaborate and plan. It offers cutting-edge planning tools for decision-making, product planning, marketing strategy, growth planning, design articulation, technical documentation, financial planning, legal planning, and HR processes. With Spellmint, users can streamline their planning processes, generate actionable insights, and create comprehensive plans with ease and efficiency.
Product Management Hub
The website offers a range of products related to product management, design sprint frameworks, and integrations like ChatGPT Product Co-Pilot for Slack. It provides resources and tools for product managers and teams to enhance their product development process. Users can find templates, frameworks, and integrations to streamline their product management workflow and improve collaboration.
CustomerIQ
CustomerIQ is an AI platform that automatically discovers and quantifies themes across customer feedback channels like calls, surveys, tickets, and transcripts. It aggregates customer feedback, extracts and categorizes feature requests, pain points, preferences, and highlights related to customers. The platform helps align teams, prioritize work, and build a customer-obsessed culture. CustomerIQ accelerates development by scoping project requirements faster and providing actionable insights backed with context.
PredictModel
PredictModel is an AI tool that specializes in creating custom Machine Learning models tailored to meet unique requirements. The platform offers a comprehensive three-step process, including generating synthetic data, training ML models, and deploying them to AWS. PredictModel helps businesses streamline processes, improve customer segmentation, enhance client interaction, and boost overall business performance. The tool maximizes accuracy through customized synthetic data generation and saves time and money by providing expert ML engineers. With a focus on automated lead prioritization, fraud detection, cost optimization, and planning, PredictModel aims to stay ahead of the curve in the ML industry.
Viable
Viable is an AI-driven platform that provides actionable insights from qualitative data. It effortlessly transforms raw data into valuable information using AI technology. The platform offers integrations with various tech stacks and transparent pricing options to meet user requirements. Viable is designed to help businesses improve customer experience, boost employee engagement, enhance marketing strategies, prioritize product management actions, and conduct efficient research with the help of AI.
AutoRegex
AutoRegex is a web application that utilizes Natural Language Processing (NLP) and Artificial Intelligence (AI) to convert English text into Regular Expressions (RegEx) effortlessly. With the help of AI technology, users can easily translate their English requirements into complex RegEx patterns without the need for deep technical knowledge. The tool simplifies the process of creating RegEx, making it accessible to a wider audience, including those with limited programming experience. AutoRegex aims to streamline the conversion process and enhance productivity for individuals working with text data and pattern matching tasks.
Cybertiks
Cybertiks is an AI-powered platform that specializes in harnessing the power of satellite imagery to provide valuable insights for agriculture fields worldwide. By integrating advanced AI models trained on thousands of fields, Cybertiks offers bespoke solutions for remote sensing of industrial requirements. Users can monitor field metrics, historical insights, and field status changes, with results delivered every 7 days. The platform also integrates various sources of information, provides certifications, synchronizes data, and offers data integration for a comprehensive and strategic vision.
20 - Open Source Tools
Streamline-Analyst
Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates tasks such as data cleaning, preprocessing, and complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. It aims to expedite the data analysis process, making it accessible to all, regardless of their expertise in data analysis. The tool is built to empower users to process data and achieve high-quality visualizations with unparalleled efficiency, and to execute high-performance modeling with the best strategies. Future enhancements include Natural Language Processing (NLP), neural networks, and object detection utilizing YOLO, broadening its capabilities to meet diverse data analysis needs.
taranis-ai
Taranis AI is an advanced Open-Source Intelligence (OSINT) tool that leverages Artificial Intelligence to revolutionize information gathering and situational analysis. It navigates through diverse data sources like websites to collect unstructured news articles, utilizing Natural Language Processing and Artificial Intelligence to enhance content quality. Analysts then refine these AI-augmented articles into structured reports that serve as the foundation for deliverables such as PDF files, which are ultimately published.
SQLAgent
DataAgent is a multi-agent system for data analysis, capable of understanding data development and data analysis requirements, understanding data, and generating SQL and Python code for tasks such as data query, data visualization, and machine learning.
pebblo
Pebblo enables developers to safely load data and promote their Gen AI app to deployment without worrying about the organization’s compliance and security requirements. The project identifies semantic topics and entities found in the loaded data and summarizes them on the UI or a PDF report.
airda
airda(Air Data Agent) is a multi-agent system for data analysis, which can understand data development and data analysis requirements, understand data, and generate SQL and Python code for data query, data visualization, machine learning and other tasks.
uwazi
Uwazi is a flexible database application designed for capturing and organizing collections of information, with a focus on document management. It is developed and supported by HURIDOCS, benefiting human rights organizations globally. The tool requires NodeJs, ElasticSearch, ICU Analysis Plugin, MongoDB, Yarn, and pdftotext for installation. It offers production and development installation guides, including Docker setup. Uwazi supports hot reloading, unit and integration testing with JEST, and end-to-end testing with Nightmare or Puppeteer. The system requirements include RAM, CPU, and disk space recommendations for on-premises and development usage.
persian-license-plate-recognition
The Persian License Plate Recognition (PLPR) system is a state-of-the-art solution designed for detecting and recognizing Persian license plates in images and video streams. Leveraging advanced deep learning models and a user-friendly interface, it ensures reliable performance across different scenarios. The system offers advanced detection using YOLOv5 models, precise recognition of Persian characters, real-time processing capabilities, and a user-friendly GUI. It is well-suited for applications in traffic monitoring, automated vehicle identification, and similar fields. The system's architecture includes modules for resident management, entrance management, and a detailed flowchart explaining the process from system initialization to displaying results in the GUI. Hardware requirements include an Intel Core i5 processor, 8 GB RAM, a dedicated GPU with at least 4 GB VRAM, and an SSD with 20 GB of free space. The system can be installed by cloning the repository and installing required Python packages. Users can customize the video source for processing and run the application to upload and process images or video streams. The system's GUI allows for parameter adjustments to optimize performance, and the Wiki provides in-depth information on the system's architecture and model training.
gemini_multipdf_chat
Gemini PDF Chatbot is a Streamlit-based application that allows users to chat with a conversational AI model trained on PDF documents. The chatbot extracts information from uploaded PDF files and answers user questions based on the provided context. It features PDF upload, text extraction, conversational AI using the Gemini model, and a chat interface. Users can deploy the application locally or to the cloud, and the project structure includes main application script, environment variable file, requirements, and documentation. Dependencies include PyPDF2, langchain, Streamlit, google.generativeai, and dotenv.
chatgpt
The ChatGPT R package provides a set of features to assist in R coding. It includes addins like Ask ChatGPT, Comment selected code, Complete selected code, Create unit tests, Create variable name, Document code, Explain selected code, Find issues in the selected code, Optimize selected code, and Refactor selected code. Users can interact with ChatGPT to get code suggestions, explanations, and optimizations. The package helps in improving coding efficiency and quality by providing AI-powered assistance within the RStudio environment.
verbis
Verbis AI is a secure and fully local AI assistant for MacOS that indexes data from various SaaS applications securely on the user's system. It provides a single interface powered by GenAI models to query and manage information. Users can connect Verbis to apps like Google Drive, Outlook, Gmail, and Slack, and use it as a chatbot to search across their data without data leaving their device. The tool is powered by Ollama and Weaviate, utilizing models like Mistral 7B, ms-marco-MiniLM-L-12-v2, and nomic-embed-text. Verbis AI requires Apple Silicon Mac (m1+) and has minimal system resource utilization requirements.
ai-data-analysis-MulitAgent
AI-Driven Research Assistant is an advanced AI-powered system utilizing specialized agents for data analysis, visualization, and report generation. It integrates LangChain, OpenAI's GPT models, and LangGraph for complex research processes. Key features include hypothesis generation, data processing, web search, code generation, and report writing. The system's unique Note Taker agent maintains project state, reducing overhead and improving context retention. System requirements include Python 3.10+ and Jupyter Notebook environment. Installation involves cloning the repository, setting up a Conda virtual environment, installing dependencies, and configuring environment variables. Usage instructions include setting data, running Jupyter Notebook, customizing research tasks, and viewing results. Main components include agents for hypothesis generation, process supervision, visualization, code writing, search, report writing, quality review, and note-taking. Workflow involves hypothesis generation, processing, quality review, and revision. Customization is possible by modifying agent creation and workflow definition. Current issues include OpenAI errors, NoteTaker efficiency, runtime optimization, and refiner improvement. Contributions via pull requests are welcome under the MIT License.
json_repair
This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition:
openagi
OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.
naas
Naas (Notebooks as a service) is an open source platform that enables users to create powerful data engines combining automation, analytics, and AI from Jupyter notebooks. It offers features like templates for automated data jobs and reports, drivers for data connectivity, and production-ready environment with scheduling and notifications. Naas aims to provide an alternative to Google Colab with enhanced low-code layers.
CyberScraper-2077
CyberScraper 2077 is an advanced web scraping tool powered by AI, designed to extract data from websites with precision and style. It offers a user-friendly interface, supports multiple data export formats, operates in stealth mode to avoid detection, and promises lightning-fast scraping. The tool respects ethical scraping practices, including robots.txt and site policies. With upcoming features like proxy support and page navigation, CyberScraper 2077 is a futuristic solution for data extraction in the digital realm.
llmware
LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.
Tiger
Tiger is a community-driven project developing a reusable and integrated tool ecosystem for LLM Agent Revolution. It utilizes Upsonic for isolated tool storage, profiling, and automatic document generation. With Tiger, you can create a customized environment for your agents or leverage the robust and publicly maintained Tiger curated by the community itself.
FinRobot
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.
aideml
AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.
20 - OpenAI Gpts
IT Business Analyst
Professional IT Business Analyst, adept in User Stories, Acceptance Criteria, and Test Cases.
Backloger.ai - Requirements Health Check
Drop in any requirements ; I'll reduces ambiguity using requirement health check
Your Product Pair
Transforms natural language requirements into Gherkin syntax for development.
No-code Builder by Uroboro
Helps you identify your requirements for the development of a custom nocode Operating System
ChatUML
Expert in all UML diagrams: Requirements in, Diagram Out – your precise solution for every specification.
Backloger.ai -Potential Corner Cases Detector!
Drop your requirements here and we'll Simply input, analyze, and refine for corner case detection!
Backloger.ai - Product MVP Accelerator
Drop in any requirements or any text ; I'll help you create an MVP with insights.
AIProductGPT: Add AI to your Product and get a PRD
With simple prompts, AIProductGPT instantly crafts detailed AI-powered requirements (PRD) and mocks so that you team can hit the ground running
Certifications Master
Your go-to assistant for certification exam schedules and requirements management! 資格認定の試験スケジュールや要件管理等、あなたのお役に立つアシスタントです!
ML Engineer GPT
I'm a Python and PyTorch expert with knowledge of ML infrastructure requirements ready to help you build and scale your ML projects.
Regulations.AI
Ask about AI regulations, in any language............ ZH: 询问有关人工智能的规定。DE: Fragen Sie nach KI-Regulierungen. FR: Demandez des informations sur les réglementations de l'IA. ES: Pregunte sobre las regulaciones de IA.
UK Visajob
Conduct various flexible analyses and inquiries based on official information about companies with work visa sponsorship qualifications.
Crypto Betting Bonuses Expert
Expert in online gaming betting, crypto promotions and a lot more gamble responsible! Powered by VGOPromo.com