2 Integrations with Cognata
View a list of Cognata integrations and software that integrates with Cognata below. Compare the best Cognata integrations as well as features, ratings, user reviews, and pricing of software that integrates with Cognata. Here are the current Cognata integrations in 2026:
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Microsoft 365
Microsoft
Microsoft 365 is a cloud-based productivity platform that combines familiar tools like Word, Excel, PowerPoint, Outlook, and Teams into one integrated solution. With the addition of Microsoft 365 Copilot, AI capabilities are built directly into these applications to enhance productivity and streamline everyday tasks. Users can draft documents, analyze data, create presentations, and manage emails more efficiently with intelligent assistance. The platform allows seamless collaboration across teams by enabling real-time editing, file sharing, and communication. Microsoft 365 also includes cloud storage through OneDrive, ensuring users can access their files from anywhere. Copilot helps users generate content, summarize information, and provide insights based on their data. The system is designed to support both personal and professional workflows with flexibility across desktop, web, and mobile devices.Starting Price: $9.99/month -
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NVIDIA DRIVE
NVIDIA
Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework.
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