Epigos AI

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.

Epigos AI is image & design software teams evaluate for image & design. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API
One of 386 tools in Image & Design
Added 2 months ago
Data reviewed Aug 27, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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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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Key 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

Free Tier Available

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

Streamlines the end-to-end computer vision workflow from annotation to deployment.
Reduces annotation effort through auto-labeling and managed labeling services.
Speeds model development using hosted GPUs and a model library to save time and costs.
Enables flexible deployment across cloud, web, and edge devices.
Provides SDKs and APIs for programmatic access and integration.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Sign up for free on the Epigos AI website.
  2. 2 Sign in and create or upload datasets using the dataset management tools.
  3. 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

Available: Yes
Documentation:

Documentation page linked from site (see 'Documentation' in footer)

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