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Imagimob - Edge AI

Imagimob specializes in Edge AI and tinyML, providing solutions for deploying machine learning on edge devices. Their DEEPCRAFT™ Studio accelerates AI model development, while DEEPCRAFT™ Ready Models offer pre-trained, deployable ML models for quick integration into projects.

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Imagimob is a leading provider of Edge AI and tinyML solutions, focused on enabling the deployment of machine learning models directly onto edge devices. Their offerings are designed to accelerate the development and productionization of AI applications for a variety of embedded systems.

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At the core of their platform is DEEPCRAFT™ Studio, an end-to-end solution for developing AI and Machine Learning (ML) models specifically for edge environments. This comprehensive studio covers the entire ML workflow, from collecting and annotating high-quality data to managing, analyzing, and processing it. It empowers developers, even those who are not ML experts, to build, evaluate, verify, and select the best models, and then quickly deploy them onto target hardware.

Complementing the development studio are DEEPCRAFT™ Ready Models. These are production-ready ML models that allow for immediate deployment onto devices. They eliminate the significant cost and effort associated with collecting, validating, labeling data, and subsequently training custom models. Ready Models are ideal for users seeking rapid deployment with minimal to no development overhead, leveraging ML models trained by industry leaders.

Imagimob's commitment extends to providing innovative, trustworthy, convenient, and green AI software solutions. Their DEEPCRAFT™ brand, a product of parent company Infineon, aims to continuously expand with new offerings that push the boundaries of Edge AI technology. The company actively engages with the community through newsletters, product updates, and participation in industry events, fostering collaboration and knowledge sharing in the rapidly evolving field of Edge AI.

Imagimob's solutions cater to developers, engineers, and businesses looking to integrate advanced AI capabilities into their edge devices, enhancing functionality and performance without the need for constant cloud connectivity. This focus on on-device intelligence opens up new possibilities for real-time processing, reduced latency, and improved data privacy.

  • CategoryMachine Learning Platforms
  • DeploymentEdge Devices
  • PlatformsWeb

  • End-to-end AI/ML model development platform for edge devices

  • Data collection and annotation tools

  • Data management, analysis, and processing capabilities

  • Model building tools for non-ML experts

  • Model evaluation and verification tools

  • Quick model deployment to target hardware

  • Production-ready, off-the-shelf ML models

  • Accelerated path to Edge AI application development

  • Focus on tinyML and on-device intelligence

  • Solutions for deploying machine learning on edge devices

  1. Configure: Set up your project within DEEPCRAFT™ Studio, defining data requirements.

  2. Collect & Annotate: Gather and label high-quality data for your AI model.

  3. Build & Train: Utilize DEEPCRAFT™ Studio's tools to construct and train your ML models.

  4. Evaluate & Select: Assess model performance and choose the optimal one for your needs.

  5. Deploy: Quickly deploy your trained models onto your target edge hardware.

  6. Integrate Ready Models: Select and deploy pre-trained DEEPCRAFT™ Ready Models for immediate use.

  • Edge AI Development
  • TinyML Applications
  • Automotive Safety
  • Audio Classification
  • On-Device Intelligence
  • Rapid ML Deployment

Imagimob Reviews

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