Filter and sort through our extensive collection of AI tools to find exactly what you need.

Zorro Trader is a comprehensive algorithmic trading platform designed for both retail traders and professional developers to create, test, and deploy automated trading strategies. Developed by financial software company Zorro Project, it combines a scripting language (Lite-C/C++), integrated development environment, and direct broker connectivity into a single package. The platform enables users to backtest strategies using historical data, optimize parameters, and execute trades automatically across multiple asset classes including stocks, forex, futures, and cryptocurrencies. Zorro Trader is particularly known for its accessibility to non-programmers through its simplified scripting language while offering advanced capabilities for experienced quant developers. The software includes built-in machine learning tools, neural networks, and statistical analysis functions for developing sophisticated trading algorithms. It supports both discretionary and systematic trading approaches, with features for portfolio management, risk control, and performance analytics. The platform is used by individual traders, hedge funds, and financial institutions seeking to automate their trading operations with reliable execution and comprehensive testing capabilities.
Zoho Subscriptions is a comprehensive subscription billing and recurring revenue management platform designed for businesses of all sizes, particularly SaaS companies, subscription box services, and membership organizations. It automates the entire subscription lifecycle, from creating and managing plans to handling recurring invoicing, payment collection, and customer communication. The tool integrates deeply with payment gateways like Stripe, PayPal, and Authorize.Net to securely process transactions. It provides detailed analytics and reporting on key metrics like MRR, churn, and customer lifetime value, helping businesses monitor financial health. Users can manage customer subscriptions, handle upgrades/downgrades, prorate charges, and automate dunning processes for failed payments. It also supports tax compliance, multiple currencies, and offers customer self-service portals. Positioned as part of the broader Zoho ecosystem, it connects with other Zoho apps like CRM and Books for a unified business management experience.
Zyte is an AI-powered web data extraction platform that helps businesses collect, structure, and analyze publicly available web data at scale. Formerly known as Scrapinghub, the company provides automated solutions for turning unstructured web content into clean, actionable datasets. The platform serves data scientists, market researchers, e-commerce analysts, and enterprise teams who need reliable access to web data without managing complex infrastructure. Zyte solves problems related to anti-bot detection, IP blocking, JavaScript rendering, and data quality consistency. It positions itself as an end-to-end solution that handles the entire data extraction pipeline from crawling and parsing to data delivery and monitoring. The platform uses machine learning and AI to adapt to website changes and maintain extraction accuracy over time. Users can extract product information, pricing data, news articles, reviews, and other structured content from millions of websites globally.
Zoo is an open-source web interface and platform that provides unified access to a vast collection of AI image generation models hosted on Replicate. It allows users to discover, compare, and run hundreds of different image models—such as Stable Diffusion variants, Kandinsky, and Flux—from a single, streamlined dashboard without needing to manage API calls or individual model integrations themselves. Primarily used by developers, AI researchers, and creative professionals, Zoo solves the problem of model discovery and experimentation friction. It positions itself as a playground and productivity tool that lowers the barrier to testing cutting-edge generative AI, enabling users to quickly find the right model for their specific style or task by browsing community-generated outputs and running their own prompts directly through the web UI or via its API. The platform aggregates models across different creators and versions, offering filters, search, and side-by-side comparisons to inform creative and technical decisions.
Zynq is an AI-powered platform specifically designed for the fashion industry, enabling designers, brands, and retailers to accelerate and enhance the creative and production process. It leverages generative AI to create realistic and customizable fashion designs, from initial concept sketches to detailed technical flats and photorealistic product mockups. The tool helps users rapidly ideate, visualize, and iterate on clothing, accessories, and footwear, significantly reducing the time from concept to market. It is positioned as a solution for modernizing fashion workflows, reducing reliance on physical samples, and enabling data-driven design decisions. By integrating AI into the core creative process, Zynq aims to democratize high-quality design capabilities and support sustainability efforts through digital prototyping. Its primary users include fashion designers, product developers, merchandisers, and e-commerce teams looking to streamline design, improve collaboration, and respond quickly to trends.
Zeg.ai is an AI-powered fashion design platform that enables designers, brands, and retailers to rapidly generate and visualize clothing concepts. It leverages generative AI models to transform text prompts, sketches, or reference images into high-quality, photorealistic fashion designs. The tool is designed to accelerate the ideation and prototyping phases of the fashion design process, allowing users to explore styles, patterns, colors, and fabrics without the need for extensive manual drawing or 3D modeling. It caters to individual fashion designers, design studios, e-commerce brands, and marketing teams looking to create visual content. By automating the initial visual creation, Zeg.ai helps reduce time-to-market, lower prototyping costs, and facilitate collaborative design reviews. The platform positions itself as a bridge between creative inspiration and tangible design assets, integrating AI into the creative workflow rather than replacing the designer.
Zight (formerly CloudApp) is a visual communication platform designed to help teams share information more effectively through screenshots, screen recordings, and GIFs. It enables users to quickly capture their screen, annotate images, create short videos, and share them instantly via shareable links. The tool is particularly popular among customer support teams, product managers, educators, and remote workers who need to explain concepts visually without lengthy written explanations. Zight solves communication bottlenecks by replacing complex text instructions with clear visual demonstrations, reducing misunderstandings and saving time. The platform integrates with popular workplace tools like Slack, Jira, and Trello, making it easy to incorporate visual communication into existing workflows. It emphasizes speed and simplicity, allowing users to capture, annotate, and share in seconds rather than minutes.
Zignals is an AI-powered financial analysis and stock trading platform designed for retail investors, traders, and financial analysts. It provides tools for market scanning, backtesting trading strategies, creating custom indicators, and generating automated trading signals. The platform leverages artificial intelligence to analyze vast amounts of market data, identify patterns, and deliver actionable insights to help users make informed investment decisions. Users can build, test, and deploy algorithmic trading strategies without needing extensive programming knowledge, thanks to its visual strategy builder. Zignals aims to democratize advanced trading tools, offering features typically reserved for institutional investors, such as portfolio management, risk assessment, and social trading where users can follow and copy signals from top performers. It integrates with multiple brokerages for automated trade execution and provides real-time alerts via email and SMS. The platform is web-based, ensuring accessibility from any device, and focuses on empowering users to enhance their trading discipline and performance through data-driven analysis.
XtalPi is an AI-driven pharmaceutical technology company that specializes in computational drug discovery and development. The company combines quantum physics, artificial intelligence, and cloud computing to predict molecular properties and accelerate the identification of promising drug candidates. XtalPi's platform enables pharmaceutical companies and biotech firms to simulate and analyze molecular behavior with high accuracy, reducing the time and cost associated with traditional experimental methods. The technology focuses on predicting crystal structures, solubility, stability, and other critical pharmaceutical properties early in the drug development pipeline. By leveraging AI models trained on extensive chemical and biological data, XtalPi helps researchers prioritize compounds for synthesis and testing, ultimately increasing the success rate of drug development programs. The platform is particularly valuable for tackling challenging targets in oncology, neurology, and infectious diseases where traditional methods face limitations.
Zoho PageSense is a comprehensive conversion rate optimization (CRO) platform designed to help businesses improve website performance and user experience. It enables marketers, product managers, and UX designers to understand visitor behavior through heatmaps, session recordings, and funnel analysis. The tool provides A/B testing capabilities to experiment with different page variations and determine which elements drive higher conversions. Built-in personalization features allow for targeted content delivery based on visitor segments, while form analytics help identify drop-off points. As part of the Zoho ecosystem, it integrates seamlessly with other Zoho applications like CRM and Analytics, offering a unified approach to optimizing digital customer journeys. The platform emphasizes data-driven decision-making by combining behavioral insights with testing tools to systematically improve website effectiveness and achieve business goals.
ZERØ is an AI-powered legal assistant designed to help individuals and businesses navigate legal tasks, primarily focusing on contract review and generation. It leverages large language models to analyze legal documents, identify potential risks, and suggest improvements in plain language. The tool aims to democratize access to legal support by providing an affordable, on-demand alternative to traditional law firms for routine legal work. Users can upload contracts, receive detailed analyses, and generate new legal documents based on templates and guided inputs. It is positioned for startups, small businesses, freelancers, and in-house legal teams seeking to streamline document workflows, reduce costs, and mitigate legal exposure without requiring deep legal expertise. The platform emphasizes user-friendly explanations, making complex legal terms accessible, and integrates AI to provide contextual recommendations, though it advises users to consult qualified lawyers for high-stakes matters.
Ziggma is an AI-powered investment research platform designed for individual investors and traders seeking data-driven stock analysis and portfolio management tools. The platform combines artificial intelligence with comprehensive financial data to help users make informed investment decisions. Ziggma analyzes thousands of stocks using multiple AI models that evaluate fundamental data, technical indicators, market sentiment, and risk factors. The system generates investment scores and recommendations based on quantitative analysis rather than emotional bias. Users can create and track portfolios, receive AI-generated alerts about market opportunities, and access detailed research reports on individual securities. The platform is particularly valuable for retail investors who lack the sophisticated analytical tools available to institutional players, democratizing access to advanced financial analysis through an intuitive interface that simplifies complex market data into actionable insights.
Zacks Trade is a professional-grade online brokerage platform designed for active traders and serious investors. It provides direct access to global markets with advanced trading tools, comprehensive research, and competitive pricing. The platform integrates Zacks Investment Research's proprietary stock ranking system, which uses quantitative models to analyze thousands of stocks and provide actionable buy/sell/hold recommendations. Users can trade stocks, options, futures, forex, and bonds across multiple exchanges worldwide. The platform caters to both individual investors and professional traders who require sophisticated charting, real-time data, and robust order execution capabilities. Zacks Trade emphasizes low commissions, transparent pricing, and powerful trading technology that enables users to implement complex trading strategies efficiently. The service combines brokerage execution with investment research to help users make informed trading decisions based on fundamental and technical analysis.
Zapata Computing is an enterprise software company specializing in AI and quantum computing solutions for industrial and scientific research. It provides a unified platform, Orquestra, that enables researchers and data scientists to build, optimize, and deploy complex computational workflows, particularly for chemistry, materials science, and optimization problems. The platform integrates classical machine learning, generative AI, and quantum algorithms, allowing users to leverage the best computational approach for their specific problem. Zapata's tools are designed for enterprises in sectors like pharmaceuticals, energy, and finance, aiming to accelerate discovery and improve decision-making by tackling problems that are intractable for classical computers alone. The company focuses on delivering practical, scalable solutions that bridge the gap between cutting-edge computational research and real-world industrial applications.
Zammad is an open-source, multi-channel customer support platform designed to streamline communication between businesses and their customers. It consolidates inquiries from various channels including email, web forms, live chat, telephone, and social media platforms like Facebook and Twitter into a single, unified interface. This centralization allows support teams to manage tickets efficiently, collaborate internally, and maintain consistent customer service. Zammad emphasizes automation, knowledge base management, and a user-friendly experience for both agents and customers. It is particularly popular among small to medium-sized businesses and organizations seeking a flexible, self-hosted alternative to proprietary SaaS help desk solutions. The platform is built with modern web technologies, offers extensive customization, and includes AI-powered features like automated responses and ticket classification to improve agent productivity and response times.
Zoe is a personalized nutrition and health science program that uses AI and data analysis to provide individualized dietary recommendations. It is designed for individuals seeking to understand how their body uniquely responds to food to improve metabolic health, manage weight, and enhance overall well-being. The program is based on large-scale scientific research, including the PREDICT studies, which analyze how genetics, gut microbiome, blood fat, and blood sugar responses interact. Users start by completing at-home test kits that measure these biomarkers. Zoe's AI algorithms then process this data to generate a personalized nutrition score for thousands of foods and offer tailored meal planning advice. The service includes a mobile app that acts as a coach, helping users track their food, log symptoms, and receive ongoing insights to optimize their eating habits for long-term health outcomes.
ZBrushCoreMini is a free, simplified version of the professional ZBrush digital sculpting software, designed to introduce beginners to 3D sculpting. Developed by Maxon, it provides a streamlined interface with core sculpting tools that allow users to create organic models, characters, and assets without the complexity or cost of the full software. It's positioned as an entry point for students, hobbyists, and artists new to 3D, enabling them to learn fundamental sculpting techniques like DynaMesh, basic brushes, and polypainting. The tool solves the problem of high barriers to entry in professional 3D art by offering a no-cost, approachable platform that runs on standard Windows and macOS computers. While limited compared to ZBrush or ZBrushCore, it serves as a practical training ground and a gateway to Maxon's ecosystem of creative tools.
Zanata is an open-source, web-based translation platform designed to streamline the localization process for software, documentation, and content. It serves as a centralized system where translators, developers, and project managers can collaborate on translating text across multiple languages. The platform supports various file formats including Gettext PO, Java Properties, XLIFF, and HTML, making it versatile for different types of projects. Zanata integrates with version control systems like Git, allowing for continuous localization workflows where translations can be synchronized with source code repositories. It features translation memory, glossary management, and quality checks to maintain consistency across translations. The tool is particularly valuable for open-source projects and organizations needing to manage multilingual content efficiently while maintaining version control and collaboration capabilities. Zanata's web interface enables real-time collaboration among distributed teams, with role-based permissions and workflow management to coordinate translation efforts across large projects.
Zapproved is a legal technology platform specializing in AI-powered eDiscovery and legal hold solutions, primarily serving corporate legal departments, law firms, and compliance teams. The platform is designed to streamline the complex, data-intensive process of identifying, preserving, and collecting electronically stored information (ESI) for litigation, investigations, and regulatory requests. By leveraging artificial intelligence and automation, Zapproved aims to reduce the manual burden, cost, and risk associated with legal holds and early case assessment. Its core value proposition is helping organizations manage legal obligations defensibly and efficiently at scale, turning a reactive legal process into a proactive, manageable workflow. The tool is positioned as an enterprise-grade system that integrates with common data sources like Microsoft 365, Google Workspace, and Slack to automate custodian communications, data collection, and preservation workflows, thereby minimizing human error and ensuring a consistent, auditable process.
You.com Code is an AI-powered coding assistant developed by You.com, designed to help developers write, debug, and understand code more efficiently. It functions as an intelligent companion that integrates directly into the development workflow, providing real-time code suggestions, explanations, and debugging assistance. The tool leverages advanced language models to understand context from both the current codebase and web search results, allowing it to generate relevant code snippets, fix errors, and answer programming questions. It's positioned as a comprehensive assistant for developers of all skill levels, from beginners learning programming concepts to experienced engineers optimizing complex systems. You.com Code aims to reduce development time by automating repetitive coding tasks, explaining unfamiliar codebases, and providing instant access to programming knowledge through its integrated search capabilities. The tool supports multiple programming languages and frameworks, making it versatile for various development projects across web, mobile, and backend applications.
ZebiAI is an artificial intelligence platform specifically engineered for scientific research and drug discovery. It leverages advanced machine learning models to analyze complex biological and chemical data, aiming to accelerate the identification and development of novel therapeutic compounds. The platform is designed for use by pharmaceutical companies, biotech startups, and academic researchers who need to navigate vast datasets, predict molecular interactions, and optimize lead compounds. By integrating AI into the research workflow, ZebiAI helps reduce the time and cost associated with traditional experimental methods. It addresses key challenges in early-stage discovery, such as target identification, hit discovery, and lead optimization, by providing data-driven insights and predictive analytics. The tool is positioned as a bridge between computational science and wet-lab experimentation, enabling researchers to make more informed decisions and prioritize the most promising candidates for further development.
ZetaML is an AI-powered financial analysis platform designed to help investors, traders, and financial professionals make data-driven decisions in stock markets and other financial instruments. The platform leverages machine learning models to analyze vast amounts of financial data, including price movements, company fundamentals, market sentiment, and macroeconomic indicators. It provides predictive analytics, pattern recognition, and automated insights that help users identify potential investment opportunities, assess risks, and optimize trading strategies. ZetaML caters to both retail investors seeking to enhance their decision-making and professional quant teams looking to incorporate AI into their research workflows. The tool aims to democratize access to sophisticated financial analysis that was previously available only to large institutions with substantial resources. By combining traditional financial metrics with cutting-edge AI techniques, ZetaML offers a comprehensive approach to market analysis that adapts to changing market conditions and helps users navigate complex financial landscapes with greater confidence and precision.
Zinc is an AI-powered recruitment and HR assistant designed to streamline the hiring process for companies of all sizes. The tool leverages artificial intelligence to automate time-consuming tasks such as candidate sourcing, resume screening, interview scheduling, and initial candidate communications. By analyzing job descriptions and candidate profiles, Zinc helps recruiters identify the most suitable applicants while reducing unconscious bias in the hiring process. The platform integrates with existing applicant tracking systems (ATS) and job boards, providing a centralized dashboard for managing the entire recruitment workflow. Zinc's AI capabilities extend to generating interview questions, assessing candidate responses, and providing data-driven insights about hiring trends and pipeline health. The tool is particularly valuable for HR teams looking to scale their recruitment efforts efficiently while maintaining quality and compliance standards.
Zipline Reloaded is an open-source algorithmic trading library written in Python that enables backtesting and live trading of quantitative investment strategies. It serves as a maintained fork of the original Quantopian Zipline project, providing a robust framework for researchers, quantitative analysts, and individual traders to develop, test, and deploy trading algorithms. The tool handles event-driven simulation of financial markets, managing complex aspects like order execution, portfolio management, and slippage modeling. Users can define strategies using custom logic that reacts to market data, then evaluate performance through comprehensive metrics and visualizations. Zipline supports multiple data sources including CSV files, databases, and live market feeds, making it suitable for both academic research and practical trading system development. Its modular architecture allows integration with various brokers and data providers while maintaining reproducibility of results through consistent event processing.