Before founding Hasty in 2019, we worked with many manufacturing companies on a range of vision AI applications. Our CTO came up with the idea of using AI to train AI while we were facing the challenges of applying ML in the real world. We have been in your position, and we catered to the most discerning customers: German manufacturers.

Shein's AI engine can quickly pick up a change in demand or interest in some new trend, and its supply chain can react in real-time, giving consumers more value and the brand much cheaper operating costs. China is building on what many are already calling the most advanced digital infrastructure, thanks to mega-platforms like WeChat that combine a multitude of single applications under one roof. If there is one certainty today, it is that the digital sphere will become more critical in our lives, with shares of e-commerce increasing disproportionally and AI becoming an even greater enabler and differentiator. We are living through times of massive disruption, with technology becoming a major force behind it. The last two years marked a significant step-change in artificial intelligence, and for the first time, China is leading global AI research both the quality and quantity of research.

The bid management process is time-consuming, intense, and tedious. With that said, it is also imperative to the longevity of your business and key part of every successful B2B organization. Bid management teams can manage this process, but we know it is not always easy, and solutions exist to automate the most labor-intensive parts of the journey. AI-driven information insight provides the intelligence businesses need to assist their bid management teams and win more contracts for their company. A buyer lists a request, companies get notified, bid teams plan and prepare, bid writers compose and submit tender responses, the buyer evaluates the answers, and finally, the buyer awards the tender.

Amazing things happen when we come together! While people enjoy moments and events together, the memories are scattered; digitally captured and stored in separate smartphones. If creating video was already painful enough for people who have no video editing training, creating video in collaboration is worse. Today, there is no way to create crowdsourced video projects in just a single application that is easy to use or does not require special training. Mobs eases your pain by helping you organize your friends and their content in chat groups and then removes the editing process.

Microservices (μServices) are a fascinating evolution of the Distributed Object Computing (DOC) paradigm. Initial design of DOC attempted to solve the problem of simplifying developing complex distributed applications by applying object-oriented design principles to disparate components operating across networked infrastructure. In this model, DOC "hid" the complexity of making this work from the developer regardless of the deployment architecture through the use of complex frameworks, such as Common Object Request Broker Architecture (CORBA) and Distributed Component Object Model (DCOM). Eventually, these approaches waned in popularity as the distribution frameworks were clumsy and the separation of responsibilities between developer and operations did not meet with the promised goals. That is, developers still needed to understand too much about how the entire application behaved in a distributed mode to troubleshoot application problems and the implementation was too developer-centric to allow operations to be able to fulfill this role.