Bitrise is a CI/CD platform built for mobile development, helping teams speed up builds, automate testing, and deliver high-quality apps faster. It supports native languages like Swift, Objective-C, Java, and Kotlin, as well as cross-platform frameworks including React Native, Flutter, Xamarin, Cordova, and Ionic. Setup takes minutes, with customizable workflows that adapt to any project. Bitrise integrates with GitHub, GitLab, and other industry-standard tools, while its cloud infrastructure removes the need for manual processes or maintenance overhead. Pipelines provide flexible structure for CI/CD, running tasks in parallel or sequentially to optimize efficiency. With access to the latest machines, up-to-date Xcode versions, and expert customer support, Bitrise offers a complete solution for mobile teams of any size.
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Sendbird is the omnichannel AI agent platform enterprises choose to elevate customer experience, by initiating autonomous support & sales conversations, keeping humans in the loop for complex inquiries, and re-engaging customers with proactive business messages.
Combining omnichannel AI and a battle-tested, award-winning communication APIs, Sendbird enables businesses to build AI agents and meaningful customer connections at scale.
Sendbird’s AI-powered customer service platform helps businesses deliver scalable, omnichannel support through intelligent AI agents. These agents work seamlessly across channels like mobile apps, web, SMS, and social media, providing instant and proactive assistance to customers 24/7. With the ability to integrate into existing customer support tools, the platform enhances resolution rates, reduces response times, and improves customer experience by offering a unified view of all interactions.
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FindFace
NtechLab platform processes video and recognizes human faces, bodies and actions, as well as cars and plate numbers. AI-powered technology enables record breaking accuracy and high speed of recognition. The multi-object and analytical capabilities of FindFace Multi unlock new scenarios for responding challenges of public sector and business. FindFace Multi quickly and accurately recognizes faces, human bodies, cars, and license plate numbers in a live video stream or in a video archive. Searching for faces, bodies, and vehicles in a database or in an archive is available both by a photo sample and by specific features, for example, by age, clothes color, or vehicle model. NtechLab developers are constantly improving recognition algorithms, increasing their performance and accuracy. With FindFace Multi it takes less than a second to detect a face in a video stream, recognize it, and search for a match in a database with billions of images.
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