Alternatives to AskUI

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Testsigma is a low-code end-to-end test automation platform for Agile teams. It lets SDETs, manual testers, SMEs, and QAs collaboratively plan, develop, execute, analyze, debug, and report on their automated testing for websites, native Android and iOS apps, and APIs. It is available as a fully managed, cloud-based solution as well as a self-hosted instance that is open source (Testsigma Community Edition). The platform is built with Java, but the automated tests are code-agnostic. Through built-in NLP Grammar, teams can automate user actions in simple English, or generate airtight test scripts with the Test Recorder. With features like built-in visual testing, parametrized or data-driven testing, 2FA testing, and an AI that automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures, Testsigma can replace tens of different tools in the QA toolchain to enable teams to test easily, continuously, and collaboratively.

Global App Testing (GAT) allows tech teams to test in over 189 countries with over 60,000+ professional testers who use real devices and environments. Enhance your testing process and increase release quality and speed whilst improving budget efficiency via the GAT platform, which is fully integrated to work seamlessly with your existing DevOps or CI/CD tools. Whether you are looking for full time QA support, or to manage spikes in your release cycles, the GAT integration-led approach empowers you to manage your entire testing workflow from test launch to results analysis without leaving your existing tooling (such as Github, Jira, Testrail etc). Through our integrated platform, we enable unscripted exploratory testing and scripted functional test case execution to be embedded within your CI/CD and SDLC processes, providing the perfect synergy with your automation testing tools. Test results are returned in real time. Start receiving results in as little as 15 minutes with a full bug report delivered within a few hours, enabling quick feedback on critical issues and edge cases.

Transform your organization into a fully automated enterprise™ with the UiPath Platform, a hallmark of digital transformation. Achieving a fully automated enterprise fosters business resilience, enhances speed and agility, and liberates employees from repetitive tasks through a comprehensive automation solution. Leverage the insights gathered from your business applications, such as ERP and CRM systems, to gain a profound understanding of intricate business operations. This knowledge empowers you to identify the most effective automation opportunities and measure their impact. As a cutting-edge Robotic Process Automation (RPA) and process mining platform, UiPath enables organizations to streamline their business processes, accelerating their journey towards becoming digital entities while gaining a competitive edge in the realm of AI. With its scalable, extensible, and sustainable architecture, UiPath allows users to create visual workflows without the need for scripting or coding. Additionally, the platform boasts robust auditing features, sophisticated analytical reporting, and personalized dashboards to enhance user experience and operational oversight. Embrace UiPath to not only improve efficiency but also to foster a culture of innovation within your organization.

Applitools is an AI-powered, end-to-end visual and monitoring platform for Developers and Test Automation, Manual QA and DevOps. Our Visual AI technology transforms the way organizations approach quality. It ensures that web and mobile apps look and work exactly as they were designed on any device, browser OS, native application, or browser. Applitools integrates quickly with any DevOps environment. It is easy to use for any size team and can be scaled to any organization that wants to improve speed and quality with every release. This is vital in today's competitive business environment. Applitools is used by hundreds of companies in a variety of industries, including Fortune 100 software, banking, retail, and insurance firms. This allows them to provide the best digital experiences possible to their customers. Applitools has its headquarters in San Mateo in California and an R&D centre in Tel Aviv in Israel.

SuperAGI SuperCoder is an innovative open-source autonomous platform that merges an AI-driven development environment with AI agents, facilitating fully autonomous software creation, beginning with the Python language and its frameworks. The latest iteration, SuperCoder 2.0, utilizes large language models and a Large Action Model (LAM) that has been specially fine-tuned for Python code generation, achieving remarkable accuracy in one-shot or few-shot coding scenarios, surpassing benchmarks like SWE-bench and Codebench. As a self-sufficient system, SuperCoder 2.0 incorporates tailored software guardrails specific to development frameworks, initially focusing on Flask and Django, while also utilizing SuperAGI’s Generally Intelligent Developer Agents to construct intricate real-world software solutions. Moreover, SuperCoder 2.0 offers deep integration with popular tools in the developer ecosystem, including Jira, GitHub or GitLab, Jenkins, and cloud-based QA solutions like BrowserStack and Selenium, ensuring a streamlined and efficient software development process. By combining cutting-edge technology with practical software engineering needs, SuperCoder 2.0 aims to redefine the landscape of automated software development.

SikuliX is a free automation tool that empowers users to control any visible elements on their desktop screens, functioning across Windows, Mac, and select Linux/Unix platforms. By leveraging image recognition technology through OpenCV, it allows users to automate tasks that are challenging to script manually. Additionally, SikuliX provides an Integrated Development Environment (IDE) for crafting visual scripts based on screenshots, as well as a Java API that facilitates the incorporation of image-based automation into existing software applications. This software is distributed under the MIT license, making it freely accessible for various applications. Furthermore, SikuliX integrates OpenCV for its image processing capabilities and Tesseract for handling text recognition. Users are encouraged to utilize the latest stable version, SikuliX 1.1.1, to take advantage of its full range of features while benefiting from ongoing improvements. With its unique image-based approach, SikuliX stands out as a versatile tool for automation enthusiasts and developers alike.

Professional and efficient Testing of Web, Java, Windows and Android applications cross platform on Windows, Linux and macOS - Java Swing, AWT, JavaFX, SWT, Eclipse Plug-Ins, RCP, WebStart, Applets, RIA, ULC, Captain Casa, Hybrids with Web: JxBrowser, SWT-Browser, JavaFXWebView, JPro, Webswing -Cross-browser on Chrome, Firefox, Opera, Safari, Microsoft Edge, Internet Explorer, Headless Browser, Electron -Classical Win32, .Net based on WPF or Windows Forms, Window Apps / UWP using XAML controls, C++ apps (e.g. Qt) - Android applications can be tested on real devices and with the Emulator from Android Studio. GUI Test tool with robust component recognition

Qwen2.5-VL marks the latest iteration in the Qwen vision-language model series, showcasing notable improvements compared to its predecessor, Qwen2-VL. This advanced model demonstrates exceptional capabilities in visual comprehension, adept at identifying a diverse range of objects such as text, charts, and various graphical elements within images. Functioning as an interactive visual agent, it can reason and effectively manipulate tools, making it suitable for applications involving both computer and mobile device interactions. Furthermore, Qwen2.5-VL is proficient in analyzing videos that are longer than one hour, enabling it to identify pertinent segments within those videos. The model also excels at accurately locating objects in images by creating bounding boxes or point annotations and supplies well-structured JSON outputs for coordinates and attributes. It provides structured data outputs for documents like scanned invoices, forms, and tables, which is particularly advantageous for industries such as finance and commerce. Offered in both base and instruct configurations across 3B, 7B, and 72B models, Qwen2.5-VL can be found on platforms like Hugging Face and ModelScope, further enhancing its accessibility for developers and researchers alike. This model not only elevates the capabilities of vision-language processing but also sets a new standard for future developments in the field.

Elevate the quality of your software applications without compromising on speed or flexibility by utilizing an intuitive GUI test automation solution. Our advanced AI-driven object recognition technology, combined with both script-based and scriptless options, provides an unparalleled experience for testing desktop, web, and mobile applications seamlessly. TestComplete features a smart object repository and accommodates over 500 controls, ensuring that your GUI tests remain scalable, resilient, and easy to update. By enhancing automation in quality assurance, you can achieve a higher standard of overall quality. You can also automate UI testing for a diverse array of desktop applications, such as .Net, Java, WPF, and Windows 10. Develop reusable tests applicable to all web applications, including contemporary JavaScript frameworks like React and Angular, across more than 2050 browser and platform configurations. Additionally, you can create and automate functional UI tests on both physical and virtual iOS and Android devices, all without the need to jailbreak your phone, making the process even more user-friendly. This comprehensive approach guarantees that your applications are not only tested thoroughly but also maintained effectively as they evolve.

Achieving excellence in Functional and Visual Regression Testing is crucial, ensuring that code remains intact and layouts are preserved. Leveraging Cometa offers numerous advantages for your projects, simplifying the automation of human interactions on websites. With its 100% open-source framework crafted with love in Barcelona, Cometa facilitates visual comparisons through screenshots, enabling straightforward UI testing across more than 2000 devices. The seamless integration of its REST API further enhances compatibility with various third-party tools like jMeter, Jenkins, and Git, eliminating barriers to effective implementation. Now that you’re informed, there’s no reason to hesitate. Cometa's features stand out as pivotal assets; they not only uphold code integrity and layout consistency but also empower users to create comprehensive tests that meticulously evaluate every aspect of their website. You can access the platform using your Google account for convenience, and the on-premises installation supports OIDC login. Testing on multiple devices allows for extensive functionality assessments of your website, ensuring a robust and reliable user experience.

Keysight Eggplant, part of Keysight Technologies’ software portfolio, redefines quality assurance through intelligent, low-code, and AI-driven test automation. Designed for cross-platform functionality, Eggplant automates functional, regression, and performance testing for desktop, mobile, web, and embedded systems. Its computer vision and machine learning models allow testing from the user’s perspective, detecting visual errors, layout issues, and UX problems that code-based tools often miss. Eggplant integrates natively with leading DevOps tools—including Jenkins, Azure DevOps, and GitHub Actions—to enable continuous testing and accelerate release cycles. Its solutions suite includes Eggplant Test, Eggplant Performance, Eggplant Monitoring, and Keysight Generator, covering the full software lifecycle from test creation to real-time monitoring. The platform’s predictive monitoring identifies performance issues before they impact end users, ensuring consistent uptime and optimized experiences. With measurable results such as 93% reduction in manual testing time and 92% reduction in QA labor hours, Eggplant delivers transformative productivity for modern QA teams. By combining automation, AI, and analytics, Keysight Eggplant empowers organizations to innovate faster and release software with confidence.

Alithya GoTest is a collaborative test hub that is easy and quick to master and integrate, ensuring the quality of any professional digital solutions for companies requiring reliability without compromises. Through the GUI, our solution allows you to collaborate, execute and fix your tests and communicate at all levels to ensure test plans and test results are provided with the right level of details. Alithya GoTest is platform-agnostic and will allow you to seamlessly test desktop, web and mobile applications. You will not have to spend months building, maintaining and integrating your test platform into your development workflow, which allows your development team to focus on delivering value and quality. Compared to more traditional solutions, Alithya GoTest is the only tool on the market that allows you to completely test your software from end-to-end using continuous testing in a DevOps process. Contact our top-notch bilingual support team or use our consulting, coaching or online training resources to get up to speed in no time. Benefit from our growing list of pre-made test suites for professional ERP platforms like Oracle Fusion Cloud to ensure updates are not breaking your software solution.

Effortless automation tailored for those with hectic schedules. The UI Vision free RPA software, which was previously known as Kantu, simplifies the automation of both web and desktop applications across Windows, Mac, and Linux platforms. This open-source browser extension, UI.Vision RPA, can be enhanced with local applications for desktop UI automation, ensuring a comprehensive solution. With its core built on open-source principles, UI Vision promises enterprise-level security, ensuring that your data remains securely on your device. Join over 100,000 users in streamlining workflows, whether on your desktop or within your browser. The visual UI testing features offered by UI Vision empower web designers and developers to confirm the accuracy and design of websites and canvas elements. Additionally, UI Vision possesses the capability to detect and interpret images and text embedded within canvas elements, images, and videos. It can also adjust the browser window size to simulate different resolutions, making it an invaluable tool for testing layouts across various browser dimensions and ensuring a flawless visual presentation for mobile, web, and native applications. With UI Vision, you can significantly enhance your productivity and achieve consistent results in your automation tasks.

Project Mariner is an innovative research prototype created by Google DeepMind, utilizing their sophisticated AI model, Gemini 2.0. This project investigates the potential for enhanced human-agent interaction by automating a variety of tasks directly within a user's web browser. With its ability to understand multiple forms of information, Project Mariner can analyze and reason through diverse browser components, such as text, code snippets, images, and online forms. This functionality empowers it to adeptly navigate intricate websites, streamline repetitive workflows, and supply users with visual updates. The system is also capable of interpreting voice commands, providing real-time task progress updates and ensuring that users stay informed and maintain control over their activities. Furthermore, Project Mariner excels at deciphering complex instructions by deconstructing them into manageable steps, grasping the interconnections between different web elements, and delivering coherent plans and actions to users. Currently, the initiative is undergoing testing with a limited number of selected users, and those wishing to engage in future testing can express their interest by joining a waitlist. This approach not only fosters user engagement but also helps refine the system based on real-world feedback.

Dify serves as an open-source platform aimed at enhancing the efficiency of developing and managing generative AI applications. It includes a wide array of tools, such as a user-friendly orchestration studio for designing visual workflows, a Prompt IDE for testing and refining prompts, and advanced LLMOps features for the oversight and enhancement of large language models. With support for integration with multiple LLMs, including OpenAI's GPT series and open-source solutions like Llama, Dify offers developers the versatility to choose models that align with their specific requirements. Furthermore, its Backend-as-a-Service (BaaS) capabilities allow for the effortless integration of AI features into existing enterprise infrastructures, promoting the development of AI-driven chatbots, tools for document summarization, and virtual assistants. This combination of tools and features positions Dify as a robust solution for enterprises looking to leverage generative AI technologies effectively.

Develop a tailored computer vision model in just a few minutes with AI Custom Vision, a component of Azure AI Services, which allows you to personalize and integrate advanced image analysis for various sectors. Enhance customer interactions, streamline production workflows, boost digital marketing strategies, and more, all without needing any machine learning background. You can configure your model to recognize specific objects relevant to your needs. The user-friendly interface simplifies the creation of your image recognition model. Begin training your computer vision solution by uploading and tagging a handful of images, after which the model will evaluate its performance on this data and improve its accuracy through continuous feedback as you incorporate more images. To facilitate faster development, take advantage of customizable pre-built models tailored for industries such as retail, manufacturing, and food services. For instance, Minsur, one of the largest tin mining companies globally, demonstrates the effective use of AI Custom Vision to promote sustainable mining practices. Additionally, you can trust that your data and trained models are protected by robust enterprise-level security and privacy measures. This ensures confidence in the deployment and management of your innovative computer vision solutions.

Revolutionary Codeless Automation Testing for Web Applications. Now, you can streamline the tedious task of website testing that you dread performing manually by utilizing a codeless automation testing solution. Craft robust tests using an intuitive, English-like syntax with a range of predefined commands—no coding required! Choose the tasks to automate, freeing your team from mundane activities and allowing them to focus on more strategic initiatives. This way, you can devote your resources to high-impact work while the repetitive tasks are handled seamlessly. Say goodbye to complicated setups and frameworks. Our hybrid installations optimize productivity and efficiency by accommodating three different setups tailored to client requirements. You can write and execute both single and multiple tests independently, integrating them into the testing cycle only after confirming their effectiveness. Eliminate the uncertainty surrounding your tests. Achieve complete clarity with a visual step-by-step overview by simply clicking to preview each step in the automation testing process. With easy-to-digest, real-time reports, you will gain invaluable insights into your testing endeavors, ensuring that your workflow remains both efficient and transparent. Additionally, this approach fosters collaboration among team members, enhancing overall project outcomes.

IBM Maximo Visual Inspection empowers your quality control and inspection teams with advanced computer vision AI capabilities. By providing an intuitive platform for labeling, training, and deploying AI vision models, it simplifies the integration of computer vision, deep learning, and automation for technicians. The system is designed for rapid deployment, allowing users to train their models through an easy-to-use drag-and-drop interface or by importing custom models, enabling activation on mobile and edge devices at any moment. With IBM Maximo Visual Inspection, organizations can develop tailored detect and correct solutions that utilize self-learning machine algorithms. The efficiency of automating inspection processes can be clearly observed in the demo provided, showcasing how straightforward it is to implement these visual inspection tools. This innovative solution not only enhances productivity but also ensures that quality standards are consistently met.

vStellar is an all-in-one automated software testing platform designed to accelerate QA processes through a low-code framework that eliminates repetitive manual testing. With comprehensive support for UI, API, mobile, performance, and accessibility testing, it provides a unified solution for complex testing environments. The platform integrates directly with IntelliJ IDEA, allowing users to install a lightweight plugin and begin creating and executing test cases instantly. Teams can define locators, endpoints, and execution parameters visually, then run unlimited test cases with advanced parallelization. Built-in reporting dashboards offer real-time visibility into test results and system performance, while CI/CD integration ensures continuous quality validation during deployments. vStellar’s flexibility supports diverse environments and browsers, enabling consistent validation across platforms and devices. Companies leverage it to reduce QA effort, accelerate release cycles, and enhance overall reliability. With its combination of ease of use and technical depth, vStellar redefines how teams automate testing at scale.

Devin is an advanced software development assistant powered by AI, created to work in tandem with engineering teams to streamline and enhance coding processes. It assists with various tasks such as initiating repositories, coding, debugging errors, and executing migrations, functioning either independently or in collaboration with human developers. Over time, Devin improves its efficiency by learning from provided examples. Its implementation has resulted in substantial time and financial savings on extensive projects, exemplified by its use at Nubank, where it achieved migration speeds 8 to 12 times faster and cut costs by more than 20 times. Additionally, Devin excels in both refactoring code and automating repetitive engineering tasks, making it an invaluable tool for developers looking to optimize their workflow. Its ability to continuously adapt ensures that it remains an essential asset in the ever-evolving landscape of software development.

Playwright is compatible with all contemporary rendering engines, such as Chromium, WebKit, and Firefox. It enables testing across various operating systems like Windows, Linux, and macOS, whether locally or in continuous integration environments, and can operate in both headless and headed modes. The framework ensures that actions are only performed once elements are ready for interaction, and it includes a comprehensive set of introspection events. This synergy effectively removes the reliance on artificial timeouts, which are a common source of unreliable tests. Additionally, Playwright's assertions are tailored for the dynamic nature of the web, automatically reattempting checks until the specified criteria are fulfilled. Users can customize their test retry strategies and capture execution traces, videos, and screenshots to further mitigate instability. In terms of architecture, browsers execute web content from different origins in separate processes, allowing Playwright to align with modern browser frameworks and conduct tests out-of-process. This design choice helps to avoid the usual constraints associated with in-process test runners, ultimately enhancing testing efficiency and reliability. As a result, Playwright emerges as a robust solution for developers seeking to streamline their testing processes.

SuperMarketer is an all-in-one marketing solution that allows for tailored customer interactions across various platforms, such as email, SMS, WhatsApp, mobile applications, Facebook, and Google. By utilizing AI-driven agents, it streamlines processes like generating social media visuals, executing email marketing campaigns, and consistently enhancing customer experiences. The platform creates dynamic customer journeys in real-time, utilizing advanced language models to surpass conventional automation templates and improve engagement strategies based on the latest customer behavior. It integrates multiple communication channels into one cohesive system, enabling the effective management of personalized and targeted customer communications informed by behavioral insights, demographic factors, and recent activities on the website. This innovative approach ensures that businesses can efficiently connect with their audience through highly relevant interactions.

Rupert AI imagines a future where marketing transcends mere audience outreach, focusing instead on deeply engaging individuals in a highly personalized and effective manner. Our AI-driven solutions are tailored to transform this aspiration into reality for businesses, regardless of their scale. Highlighted Features - AI model training: Customize your vision model to identify specific objects, styles, or characters. - AI workflows: Utilize various AI workflows to enhance marketing and creative content development. Advantages of AI Model Training - Tailored Solutions: Develop models that accurately identify unique objects, styles, or characters tailored to your specifications. - Enhanced Precision: Achieve superior results that cater specifically to your distinct needs. - Broad Applicability: Effective across diverse sectors such as design, marketing, and gaming. - Accelerated Prototyping: Rapidly evaluate new concepts and ideas. - Unique Brand Identity: Create distinctive visual styles and assets that truly differentiate your brand in a competitive market. Furthermore, this approach enables businesses to foster stronger connections with their audience through innovative marketing strategies.

Moondream is an open-source vision language model crafted for efficient image comprehension across multiple devices such as servers, PCs, mobile phones, and edge devices. It features two main versions: Moondream 2B, which is a robust 1.9-billion-parameter model adept at handling general tasks, and Moondream 0.5B, a streamlined 500-million-parameter model tailored for use on hardware with limited resources. Both variants are compatible with quantization formats like fp16, int8, and int4, which helps to minimize memory consumption while maintaining impressive performance levels. Among its diverse capabilities, Moondream can generate intricate image captions, respond to visual inquiries, execute object detection, and identify specific items in images. The design of Moondream focuses on flexibility and user-friendliness, making it suitable for deployment on an array of platforms, thus enhancing its applicability in various real-world scenarios. Ultimately, Moondream stands out as a versatile tool for anyone looking to leverage image understanding technology effectively.

Potpie is a collaborative open source platform designed for developers to craft AI agents specifically suited for their codebases, streamlining processes such as debugging, testing, system architecture, onboarding, code evaluations, and documentation. By converting your codebase into an extensive knowledge graph, Potpie equips its agents with a profound contextual understanding that enables them to execute engineering tasks with remarkable accuracy. The platform includes more than five pre-built agents, with some focusing on stack trace analysis and the generation of integration tests. Additionally, developers have the option to create personalized agents through straightforward prompts, ensuring easy incorporation into their established workflows. Potpie also features an intuitive chat interface and offers a VS Code extension for direct integration into development setups. With capabilities like multi-LLM support, developers can incorporate various AI models to enhance performance and adaptability, making Potpie an invaluable tool for modern software engineering. This versatility allows teams to optimize their overall productivity while benefiting from advanced automation techniques.

Fullmoon is an innovative, open-source application designed to allow users to engage directly with large language models on their personal devices, prioritizing privacy and enabling offline use. Tailored specifically for Apple silicon, it functions smoothly across various platforms, including iOS, iPadOS, macOS, and visionOS. Users have the ability to customize their experience by modifying themes, fonts, and system prompts, while the app also works seamlessly with Apple's Shortcuts to enhance user productivity. Notably, Fullmoon is compatible with models such as Llama-3.2-1B-Instruct-4bit and Llama-3.2-3B-Instruct-4bit, allowing for effective AI interactions without requiring internet connectivity. This makes it a versatile tool for anyone looking to harness the power of AI conveniently and privately.

IBM Rational Test Workbench offers an array of software testing tools designed to enhance a DevOps approach, including API testing, functional UI testing, performance testing, and service virtualization. By enabling automation and encouraging earlier testing, it allows teams to identify and resolve issues sooner, ultimately reducing the cost of fixes. Additionally, IBM has introduced a new bundled offering that revolutionizes how DevOps software can be utilized and deployed, facilitating easier planning for the adoption and expansion of essential IBM DevOps products. This solution supports a comprehensive range of testing types, such as traditional functional and regression tests, mobile testing, and performance and scalability assessments. With a fully-integrated authoring environment, users can enjoy a seamless experience across various domains. Rather than waiting for all components to be available, teams can create virtual components to initiate testing immediately, ensuring that development remains agile and efficient. Embracing this approach fosters continuous improvement and quicker delivery cycles in software development.

Accelerate the building, execution, and scaling of UI tests by a factor of 30, all without writing any code and ensuring a flake-free experience. You can launch your first test in five minutes or less by simply outlining user flows in everyday language, and Screenwriter will handle the rest seamlessly. Utilizing advanced AI models, we craft autonomous agents that navigate your browser and interact with your application just like a genuine user would. By describing a user flow in conversational terms, our AI takes over the task, meaning no coding skills or engineering personnel are necessary. You have complete control over your test suite, allowing you to define extra checks and adjust steps directly within the app, while Screenwriter manages the underlying processes. All tests are securely stored and executed on Screenwriter's dedicated infrastructure, eliminating any need for access to your codebase. Traditional test scripts can be unreliable and cumbersome as your application scales, but Screenwriter's AI adjusts to your evolving application, highlighting only genuine issues. Additionally, you can review each execution playback directly within the Screenwriter app, ensuring transparency and facilitating easy troubleshooting. With this innovative approach, you can focus more on development and less on maintenance.

SmolVLM-Instruct is a streamlined, AI-driven multimodal model that integrates vision and language processing capabilities, enabling it to perform functions such as image captioning, visual question answering, and multimodal storytelling. This model can process both text and image inputs efficiently, making it particularly suitable for smaller or resource-limited environments. Utilizing SmolLM2 as its text decoder alongside SigLIP as its image encoder, it enhances performance for tasks that necessitate the fusion of textual and visual data. Additionally, SmolVLM-Instruct can be fine-tuned for various specific applications, providing businesses and developers with a flexible tool that supports the creation of intelligent, interactive systems that leverage multimodal inputs. As a result, it opens up new possibilities for innovative application development across different industries.

Qwen2-VL represents the most advanced iteration of vision-language models within the Qwen family, building upon the foundation established by Qwen-VL. This enhanced model showcases remarkable capabilities, including: Achieving cutting-edge performance in interpreting images of diverse resolutions and aspect ratios, with Qwen2-VL excelling in visual comprehension tasks such as MathVista, DocVQA, RealWorldQA, and MTVQA, among others. Processing videos exceeding 20 minutes in length, enabling high-quality video question answering, engaging dialogues, and content creation. Functioning as an intelligent agent capable of managing devices like smartphones and robots, Qwen2-VL utilizes its sophisticated reasoning and decision-making skills to perform automated tasks based on visual cues and textual commands. Providing multilingual support to accommodate a global audience, Qwen2-VL can now interpret text in multiple languages found within images, extending its usability and accessibility to users from various linguistic backgrounds. This wide-ranging capability positions Qwen2-VL as a versatile tool for numerous applications across different fields.

The Amazon Nova Act is an innovative AI framework created to execute various functions within web browsers, facilitating the creation of agents that can handle tasks like submitting out-of-office notifications, managing calendar entries, and configuring 'away from office' emails. Unlike conventional large language models that mainly focus on producing text-based responses, Nova Act is dedicated to performing actions in digital spaces. The SDK associated with Nova Act empowers developers to break down intricate workflows into manageable and dependable commands (such as searching, processing checkouts, or responding to on-screen queries) while allowing for the addition of comprehensive instructions when needed. Furthermore, it offers support for API interactions and enables direct manipulation of browsers via Playwright, significantly improving overall reliability. Developers have the flexibility to incorporate Python scripts, allowing for the inclusion of tests, breakpoints, assertions, or even thread pools to optimize the handling of web page loading times. This capability ensures that developers can create more efficient and responsive web applications tailored to user needs.

Magma is an advanced AI model designed to seamlessly integrate digital and physical environments, offering both vision-language understanding and the ability to perform actions in both realms. By pretraining on large, diverse datasets, Magma enhances its capacity to handle a wide variety of tasks that require spatial intelligence and verbal understanding. Unlike previous Vision-Language-Action (VLA) models that are limited to specific tasks, Magma is capable of generalizing across new environments, making it an ideal solution for creating AI assistants that can interact with both software interfaces and physical objects. It outperforms specialized models in UI navigation and robotic manipulation tasks, providing a more adaptable and capable AI agent.

CrewAI stands out as a premier multi-agent platform designed to assist businesses in optimizing workflows across a variety of sectors by constructing and implementing automated processes with any Large Language Model (LLM) and cloud services. It boasts an extensive array of tools, including a framework and an intuitive UI Studio, which expedite the creation of multi-agent automations, appealing to both coding experts and those who prefer no-code approaches. The platform provides versatile deployment alternatives, enabling users to confidently transition their developed 'crews'—composed of AI agents—into production environments, equipped with advanced tools tailored for various deployment scenarios and automatically generated user interfaces. Furthermore, CrewAI features comprehensive monitoring functionalities that allow users to assess the performance and progress of their AI agents across both straightforward and intricate tasks. On top of that, it includes testing and training resources aimed at continuously improving the effectiveness and quality of the results generated by these AI agents. Ultimately, CrewAI empowers organizations to harness the full potential of automation in their operations.

GAIFE is an innovative AI platform designed to transform business operations through intelligent workflow automation and content generation. Users can describe their process in plain language and watch GAIFE create detailed workflow blueprints featuring tasks like ticket intake, human review, and customer notification. Specialized AI agents handle content creation, app integrations, human approvals, and conditional logic for complex automations. The platform integrates with major social and enterprise platforms, enabling seamless multichannel automation. GAIFE’s content generation capabilities produce engaging blogs, presentations, and data-driven reports tailored to brand voice and audience. Its 24/7 partner support features real-time ticketing, smart escalation, and minimizes response times, enhancing partner satisfaction. Developers benefit from Studio and API tools to customize agents and workflows extensively. GAIFE offers a 15-day free trial with no credit card required, making it easy to experience its full capabilities.

ServiceNow's AI Agents are self-sufficient systems integrated into the Now Platform, aimed at executing repetitive tasks that were once managed by human workers. These agents engage with their surroundings to gather information, make informed decisions, and carry out tasks, leading to improved efficiency over time. By utilizing specialized large language models along with a powerful reasoning engine, they gain a comprehensive understanding of various business contexts, which fosters ongoing enhancements in performance. Functioning natively across diverse workflows and data platforms, AI Agents promote complete automation, thereby increasing team productivity by coordinating workflows, integrations, and actions within the organization. Companies have the option to implement pre-existing AI agents or create personalized ones to meet their unique requirements, all while operating smoothly on the Now Platform. This seamless integration not only streamlines processes but also enables employees to devote their attention to more strategic initiatives by relieving them of mundane tasks, ultimately driving innovation and growth within the organization. As a result, the implementation of AI Agents represents a significant step towards transforming workplace efficiency.

Kaily is an innovative platform that utilizes AI technology to empower organizations to create and launch no-code, omnichannel conversational agents that surpass traditional chatbots by not only providing answers but also executing tasks independently, such as managing customer support, engaging prospective clients, facilitating sales, resolving problems, scheduling appointments, and streamlining workflows. This platform ensures round-the-clock conversational interactions across various channels, including web widgets, WhatsApp, email, mobile applications, Slack, voice calls, and public web pages, while also allowing integration with real-time business data sources to ensure that agents offer precise and contextually relevant responses and actions. Additionally, Kaily features an agent builder that allows for the customization of AI agents to reflect your brand's voice and emulate the behavior of your top-performing employees. With data connectors, agents can access live databases or CRM systems for the most current information and actions, and no-code AI workflows enable the trigger of tangible outcomes, such as updates to CRM systems or the creation of support tickets, based on conversational inputs, enhancing overall operational efficiency. This comprehensive approach not only improves customer interaction but also streamlines business processes, making Kaily an invaluable tool for modern enterprises.

HCL OneTest offers software testing tools to support a DevOps strategy: API testing, functional and UI testing, performance testing, and service virtualization. It allows you to automate and run tests faster and more often to find errors sooner, which is when they are cheaper to fix. HCL also offers a bundled offering that can be used under a new consumption model. This will change the way you use and deploy DevOps Software. This new offering simplifies your planning for the adoption and growth critical DevOps products.

MAIHEM develops AI agents designed to consistently evaluate your AI applications. Our platform allows you to fully automate the quality assurance of your AI, guaranteeing optimal performance and safety from the initial stages of development through to deployment. Say goodbye to tedious hours spent on manual testing and the uncertainty of randomly checking for vulnerabilities in your AI models. With MAIHEM, you can automate your AI quality assurance processes, ensuring a thorough analysis of thousands of edge cases. You can generate numerous realistic personas to engage with your conversational AI, allowing for a broad scope of interaction. Additionally, the platform automatically assesses entire dialogues using a customizable array of performance indicators and risk metrics. Utilize the simulation data generated to make precise enhancements to your conversational AI’s capabilities. Regardless of the type of conversational AI you are using, MAIHEM is equipped to help elevate its performance. Furthermore, our solution allows for easy integration of AI quality assurance into your development workflow with minimal coding required. The user-friendly web application provides intuitive dashboards, enabling comprehensive AI quality assurance with just a few clicks, streamlining the entire process. Ultimately, MAIHEM empowers developers to focus on innovation while maintaining the highest standards of AI quality assurance.

Quickly transition from manual testing to automation using a codeless UI testing tool specifically designed for web applications. TestCraft streamlines the processes of creating, executing, and maintaining UI tests for both web and mobile platforms. Expedite the automation of stable regression and UI tests without the need for framework configuration. With AI capabilities that automatically resolve flaky tests, you can enjoy a maintenance-free experience. Experience a fourfold increase in productivity as you continuously test at scale. Additionally, run multiple tests concurrently across different platforms and environments, enhancing your testing efficiency even further.

Introducing your comprehensive insight management solution tailored for the performance of computer vision models. It enables users to accurately identify the specific factors behind model failures, facilitating effective communication between product managers and engineers through valuable insights. With Manot, product managers gain access to an automated and ongoing feedback mechanism that enhances collaboration with engineering teams. The platform’s intuitive interface ensures that both technical and non-technical users can leverage its features effectively. Manot prioritizes the needs of product managers, delivering actionable insights through visuals that clearly illustrate the areas where model performance may decline. This way, teams can work together more efficiently to address potential issues and improve overall outcomes.

Effortlessly train intelligent AI agents using your own data, enabling them to understand and respond to users' intentions, activate internal tools, or initiate scripted conversations with forms. Streamline your processes by automating repetitive tasks through the capabilities of LLMs, such as replying to messages, completing forms, and managing data efficiently. Allow AI to handle your documents by creating and drafting new ones, extracting key information, conducting evaluations, or performing analyses, all supported by a variety of ready-to-use templates and examples. Import data through one of our 15 available integrations, process it with the most suitable models, or craft scripted dialogues to ensure you remain focused during critical moments. Develop consistent scripted conversations that maintain uniformity, while easily linking your models for a clear and intuitive visual layout. Build no-code chatbots, AI agents, workflows, or automation solutions with remarkable ease, and seamlessly incorporate GPT-4 along with numerous other powerful third-party and open-source models. This holistic approach not only enhances efficiency but also empowers you to tailor the solutions to meet your specific needs.

Lux introduces a breakthrough approach to AI by enabling models to control computers the same way humans do, interacting with interfaces visually and functionally rather than through traditional API calls. Through its three distinct modes—Tasker for procedural workflows, Actor for ultra-fast execution, and Thinker for complex problem-solving—developers can tailor how agents behave in different environments. Lux demonstrates its power through practical examples such as autonomous Amazon product scraping, automated software QA using Nuclear, and rapid financial data retrieval from Nasdaq. The platform is designed so developers can spin up real computer-use agents within minutes, supported by robust SDKs and pre-built templates. Its flexible architecture allows agents to understand ambiguous goals, strategize over long timelines, and complete multi-step tasks without manual intervention. This shift expands AI’s capabilities beyond reasoning into hands-on action, enabling automation across any digital interface. What was once a capability reserved for large tech labs is now accessible to any developer or team. Lux ultimately transforms AI from a passive assistant into an active operator capable of working directly inside software.

retest was established in 2017 with the goal of making GUI test automation simple and intelligent. As we gained momentum, investors and other interested parties began to notice. In 2018, we were serving clients, which reached approximately 83 million people. We also developed our product and grew an incredible team. We have raised EUR600K to date, are financially and operationally sound, and still adhere to our guiding principles.

All members of the team can perform robust automated testing on desktop, mobile, and web applications. This is regardless of whether they have any experience with functional test automation tools. Ranorex Studio is an all in one solution that provides codeless automation tools and a complete IDE. Ranorex Studio's industry-leading object recognition system and shareable object repository make it possible to automate GUI testing, regardless of whether you are using legacy applications or the latest mobile and web technologies. Ranorex Studio supports cross browser testing with integrated Selenium WebDriver integration. Easy data-driven testing can be done using CSV files, Excel spreadsheets, or SQL database files. Ranorex Studio supports keyword-driven testing. Our tools for collaboration enable test automation engineers to create reusable code modules, and share them with their team. Get a 30-day free trial to get started with automation testing.