
Gaffa is an API for web scraping and browser automation that gives developers control over real, full browsers with a single request, no headless-browser setup, proxy management, or infrastructure scaling required. Pages render with full JavaScript support by default, matching exactly what a real user would see.
The platform covers the full range of automation needs: scraping, AI-powered data extraction into structured JSON using custom schemas, full-page screenshots, PDF export, infinite-scroll scraping, automated form filling, and converting webpages into clean Markdown for AI and LLM workflows. Reliability is built in through a rotating residential proxy network and automatic CAPTCHA and anti-bot handling, so requests succeed even against protected sites.
Pricing follows a transparent, credit-based model tied to browser execution time and bandwidth, making costs predictable as usage scales. Gaffa is aimed at AI engineers, data-driven teams, and developers who need dependable, large-scale web data without the overhead of running their own scraping infrastructure.
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Virtuoso QA is an enterprise agentic test automation platform establishing the standard of proof for software releases. As AI accelerates development, testing must keep pace without compromising confidence. Virtuoso QA delivers this through a governed testing loop for any browser-based application: AI proposes tests, a deterministic engine executes them, a person approves what matters, and every test run leaves evidence. At its core is Touchstone, the agentic layer where specialised agents handle the operational work of testing. The Analyst converts documentation into source-cited test requirements and identifies coverage gaps, the Architect designs the test journeys that validate each requirement, and Autopilot builds those journeys with human approval at key stages. Agents learn your application through the Knowledge Base and follow your team’s testing standards through Agent Directives. As applications change, test fixes are proposed as reviewable diffs, so no test updates without human oversight.
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SimpleStow GC
SimpleStow GC is an advanced software application designed for Windows™, dedicated to optimizing graphical stowage planning for various types of cargo, including general cargo, break bulk, and project shipments. The "GC" in its name signifies General Cargo, emphasizing the software's primary focus. This program is recognized for its compactness and user-friendly interface, all while maintaining a rich array of features that support effective stowage planning, reporting, documentation, and electronic data interchange. As a comprehensive integrated system, SimpleStow GC includes not only the cargo planning module but also an array of supportive functionalities to enhance user experience. Utilizing state-of-the-art technology, it effectively displays stowage plans and cargo data visually on screens as well as in printed formats. Additionally, SimpleStow GC enables users to carefully devise plans for each voyage and simultaneously alerts them to possible stowage conflicts that may occur both at the current port and along the entire shipping route. By providing a holistic view of all logistical components, the software significantly boosts efficiency and mitigates the likelihood of stowage-related problems during transit, ultimately streamlining the overall shipping process. This makes it an invaluable tool for logistics professionals seeking to manage complex shipments with ease.
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OPTIFLEET
The procedure entails the automated creation of port rotations, the establishment of liner services, and the assignment of appropriately sized vessels to improve service efficiency. Furthermore, it encompasses the meticulous selection of cargo at ports to guarantee the highest contribution to profitability, optimizing how vessels are utilized, and developing effective schedules for those vessels. The main aim of the Optimizer is to maximize the profitability of voyages, which is accomplished by selecting the right port pair, type of equipment, and weight from a predefined list of port pairs. By sticking to the established constraints for TEUs and weight limits, the Optimizer ensures that it meets customer contract obligations. It strategically emphasizes the use of vessel capacity in TEUs over weight, addressing imbalances in the distribution of empty containers by moving them from locations with excess to those experiencing shortages, all while reducing repositioning expenses. Additionally, the system seeks not only to improve profitability but also to enhance overall operational efficiency throughout the shipping process, thereby contributing to a more streamlined logistics operation. Through these efforts, it ultimately aims to create a more sustainable and effective shipping network.
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