Epigos AI
Epigos AI is a computer vision platform for businesses that provides dataset management, image annotation (including auto-labeling), model training with hosted GPUs, and managed model deployment across cloud and edge devices.
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Quick Overview
Best for: Image & Design
What it does
Image & Design software for decision-makers comparing workflow fit and alternatives.
Best fit
Image & Design
Pricing snapshot
Free
Next step
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Epigos AI is a computer vision platform aimed at empowering business operations by providing tools to annotate data, train models, and deploy them to production. The platform targets enterprises, startups, and AI partners seeking a managed end-to-end workflow for building and operating computer vision systems. Core capabilities include dataset management, image annotation (with auto-labeling and moderation), model training using hosted GPUs and SOTA libraries, and managed deployment to cloud and edge devices.
Epigos AI: simplifies AI computer vision model creation and deployment for businesses.
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Claim this listing for $29Key Features
Dataset management
Organize, update, and access training data with features for viewing, sorting, filtering, split size control, and version control.
Image annotation
Intuitive annotation tools including bounding box, category annotation, moderation workflow, and auto-label capabilities to speed labeling.
Model training
Hosted GPU-backed training with support for SOTA models, TensorFlow, and a model library to develop, fine-tune, and monitor model lifecycles.
Model deployment
Managed infrastructure to deploy models as hosted API endpoints and to diverse platforms including NVIDIA Jetson, iOS, OAK cameras, Raspberry Pi, web browsers, and cloud services. Exposes REST API, Web UI, and SDKs.
Data labelling service
Managed labeling offering where Epigos' professional labelers perform annotation work to deliver high-quality labeled datasets.
SDK & Code examples
Client SDK and example code (Python/Node.js) to load models and run detections programmatically.
Pricing
Sign up for free
Use Cases
Enterprise computer vision
Enterprises can build and deploy production-grade vision models for operational automation using dataset management, training, and deployment tools.
Startup product development
Startups can speed up data annotation and training with auto-labeling and hosted GPUs to iterate on models faster.
Edge deployment
Deploy trained models to edge devices such as NVIDIA Jetson, OAK cameras, Raspberry Pi, and mobile (iOS) for on-device inference.
Outsourced labeling
Teams that prefer not to self-manage annotation can hire Epigos' professional labelers to produce high-quality labeled datasets.
Integrations
TensorFlow
Support for TensorFlow models in training and model library.
Python SDK
Python client example and SDK for loading and running models programmatically.
Node.js
Node.js support indicated in SDK examples.
NVIDIA Jetson
Deployment target for edge inference.
iOS
Deployment target for mobile devices.
OAK cameras
Deployment target for camera-based edge devices.
Raspberry Pi
Deployment target for low-cost edge hardware.
Web browsers / Cloud
Support for deploying models to web browsers and preferred cloud services.
Benefits
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Sign up for free on the Epigos AI website.
- 2 Sign in and create or upload datasets using the dataset management tools.
- 3 Use the image annotation UI or hire pro labelers; train models with hosted GPUs and deploy via the provided REST API or SDK.
Support
docs
Documentation linked from the site ("Documentation" listed in footer).
api status
API Status page listed in footer for service status information.
contact
"Contact Us" listed in site navigation/footer for sales or support inquiries.
API
Documentation page linked from site (see 'Documentation' in footer)
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