Focoos AI’s Anyma-powered models are optimized for real-time performance, enabling ultra-fast inference even in resource-constrained environments. This allows for rapid decision-making in time-critical applications, helping businesses boost operational efficiency and stay competitive in high-speed industries.

Focoos provides a range of high-performance models, including object detection, semantic segmentation, and instance segmentation. You can use them out of the box, fine-tune them on your own data, or integrate your custom models using the Focoos Library. The model catalog includes both standard models and Pro models, which are proprietary, highly optimized, and available with the Premium Plan.

Both Standard and Pro models are built using Focoos’ proprietary Anyma technology, ensuring high efficiency and fast deployment. Standard models are open-source, pre-trained, and ready to use or fine-tune on your own data. Pro models, available with the Premium Plan, are further optimized for specific hardware and low-power environments. They offer faster inference, lower memory usage, and are ideal for real-time, embedded, and edge applications.

Focoos AI’s computer vision models, both standard and Pro, are optimized for efficiency, requiring minimal computational resources. This reduces energy consumption, extends hardware lifespan, and minimizes environmental impact. By helping businesses do more with less, Focoos contributes to lower carbon footprints and supports long-term sustainability goals.

Absolutely. Focoos AI is built to run efficiently across a wide range of hardware, from high-performance servers to edge and embedded devices, without requiring costly upgrades. Our models are optimized for low-power, resource-constrained environments, delivering real-time performance even on limited hardware. This allows businesses to meet demanding requirements with affordable infrastructure, supporting both short-term deployment and long-term cost-effective planning.

Yes. All Focoos models are ready to use out of the box. You can upload an image or video and run inference directly from the platform or through the Focoos Library, no training required. If needed, you can fine-tune the models on your own data using the built-in training tools.

Yes. The Focoos Library is built for flexibility and modularity. You can define your own training pipeline and easily integrate custom components such as losses, metrics, or model architectures. This allows you to experiment freely.

The Focoos Library connects your local environment with the Focoos platform. It lets you manage Focoos models, run inference remotely, collaborate with your team, and monitor performance, all directly from your code. It connects to your platform workspace by default, syncing training runs and model artifacts with the platform. You can enable real-time experiment tracking by setting sync_to_hub=True during training, allowing you to monitor progress and access results directly from the web interface—even when working locally. For full details, check the documentation.

Yes, the Focoos Library is open-source and free. You can use it to train and test models locally, integrate it into your workflows, and sync with the Focoos platform. While advanced platform features and access to Pro Models require a Premium Plan, the core library is fully accessible to everyone.

You can contribute by sharing your custom models, writing tutorials, reporting bugs, or suggesting improvements. If you’re working with the Focoos Library, you’re welcome to open issues or submit pull requests on GitHub. We also encourage sharing use cases and feedback. Your input helps us improve the ecosystem for everyone.

Yes. Focoos AI integrates seamlessly with your existing tools and infrastructure. It supports common data formats and works smoothly with platforms like Roboflow and Dataset Ninja. You can deploy models to public clouds, on-prem systems, or embedded devices, without changing your tech stack or disrupting your workflow. It’s built to fit in, not take over.

You can fine-tune any of our pre-trained vision models, such as object detection, semantic and instance segmentation, on your own datasets. Support for tasks like pose estimation, key-point and multi-modal models is on the way, expanding what you can build and deploy with Focoos.

No coding is needed for all the platform workflows like dataset management, training, evaluation, and deployment, all available through an intuitive web interface. But if you prefer working in code, our open-source library gives you full control, letting you script, customize, and integrate every step into your own pipelines. Everything stays fully synchronized with the platform, enabling a seamless handoff between code and UI.

Your datasets and models are stored in private, encrypted environments with strict role-based access control. All cloud operations run on AWS infrastructure located in Frankfurt, ensuring compliance with European data protection standards. If you require full data isolation, you can also run training and inference locally using the Focoos Library, so your data never has to leave your infrastructure.

You can deploy to the Focoos Cloud with a single click. GPU resources are allocated automatically, endpoints are generated, and versioning is managed for you. For edge or on-premise deployments, you can export an optimized model package (e.g., ONNX), ready to integrate into your environment with no additional setup.

Focoos AI runs on reliable AWS cloud infrastructure with built-in redundancy, load balancing, and automatic recovery to handle potential failures. In the event of an outage, systems are designed to recover quickly, minimizing disruption to your training or inference workflows. Our support team is also available to ensure continuity and help you get back on track without delay.

We’d love to hear from you. If you have suggestions, encounter an issue, or want to share your experience, click the “Send a Feedback” button at the top right of the platform. Your input helps us improve and shape the future of Focoos AI.

Yes. Focoos offers a Free Plan with a fixed quota of inference calls, GPU hours, storage, and model slots—ideal for testing and small-scale projects. For teams or production use, the Premium Plan unlocks access to optimized Pro models, expanded resources, and dedicated support. You can contact us to customize a plan that fits your needs.

The Free Plan includes 1,000 cloud inferences, 10 GPU training hours, 1 concurrent training job, 5 GB of storage, and up to 20 models per user. It’s perfect for testing the platform, with no feature restrictions and usage limits that reset monthly.

Click your profile photo in the bottom-left corner and select “Account” to view your current quota: inferences, GPU hours, storage, and model count. Quotas are updated in real time. If you reach a limit, feel free to contact us to upgrade to the Premium Plan or request additional resources.