Epigos AI

Epigos AI | Transform Your Operations with Epigos AI's Computer Vision

Epigos AI is a computer vision platform designed to empower businesses to annotate data, train robust models, and deploy them seamlessly. It enables dataset management, image annotation, model training, deployment, and a data labeling service, all aimed at accelerating AI initiatives while optimizing costs with hosted GPUs and scalable infrastructure.

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Key Capabilities

• Dataset Management: Efficiently organize, update, and access large-scale training data with advanced filtering, sorting, and version control to ensure precision and reproducibility.
• Image Annotation: Intuitive image labeling tools to annotate datasets quickly and accurately, including auto-labeling, bounding boxes, and category annotations.
• Auto Label & Moderation: Automated labeling to boost productivity, with moderation workflows to maintain data quality.
• Model Training: Train, fine-tune, and monitor AI models using hosted GPUs; leverage SOTA models and libraries (TensorFlow, Python, Node.js) to optimize performance.
• Model Deployment: Deploy models as hosted API endpoints across diverse platforms (NVIDIA Jetson, iOS, OAK cameras, Raspberry Pi, web, cloud, and more).
• Data Labeling Service: Professional labeling by expert labelers to deliver high-quality annotations, saving time and ensuring accuracy.
• SDK & API: Access via REST API, Web UI, and SDKs to integrate seamlessly into existing pipelines.
• Edge & Cloud Compatibility: Deploy across edge devices and cloud environments for flexible, scalable AI deployments.
• Industry-Grade Security: Security standards and data protection practices for enterprise use.

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How It Works

• Import and manage your datasets with the Dataset Management tools (view, sort, filter, version control).
• Use Image Annotation tools to label data (auto-label, bounding boxes, category annotations).
• Train models with the Model Training tools, leveraging hosted GPUs for efficiency.
• Deploy models via the Model Deployment service as hosted endpoints across multiple platforms.
• If needed, utilize the Data Labeling Service to outsource high-quality annotations to expert labelers.

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Core Features

• Dataset management for large-scale training data
• Image annotation with auto-label, bounding boxes, and category annotations
• Auto labeling and moderation workflows
• End-to-end model training with hosted GPUs
• Access to SOTA models and TensorFlow libraries
• Model deployment as hosted API endpoints across edge and cloud platforms
• REST API, Web UI, and SDKs for integration
• Data labeling service with professional labelers
• Support for NVIDIA Jetson, iOS, OAK cameras, Raspberry Pi, web, and cloud deployments
• Data security and enterprise-ready standards

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Safety and Compliance

• Built for enterprise use with security standards and data protection practices; appropriate for organizations seeking reliable AI training, annotation, and deployment workflows.

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How to Get Started

1. Sign up for free to access dataset management, annotation, and training tools.
2. Ingest your data, annotate, and manage labeling workflows.
3. Train models using hosted GPUs and monitor performance.
4. Deploy as a hosted API endpoint across your chosen platforms.
5. If needed, leverage the Data Labeling Service to scale annotation quality and speed.