Audience

AI developers

About SKY ENGINE

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry.

SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

SKY ENGINE AI Synthetic Data Generation makes Data Scientist life easier providing perfectly balanced datasets for any Computer Vision applications like object detection & recognition, 3D positioning, pose estimation and other sophisticated cases including analysis of multi-sensor data i.e., Radars, Lidars, Satellite, X-rays, and more.

Pricing

Pricing Details:
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Free Trial:
Free Trial available.

Integrations

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Company Information

SKY ENGINE AI
Founded: 2018
United Kingdom
www.skyengine.ai

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Product Details

Platforms Supported
SaaS
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support

SKY ENGINE Frequently Asked Questions

Q: What kinds of users and organization types does SKY ENGINE work with?
Q: What languages does SKY ENGINE support in their product?
Q: What kind of support options does SKY ENGINE offer?
Q: What type of training does SKY ENGINE provide?
Q: Does SKY ENGINE offer a free trial?

SKY ENGINE Product Features

Artificial Intelligence

For Healthcare
Image Recognition
Machine Learning
Predictive Analytics
Chatbot
For Sales
For eCommerce
Multi-Language
Natural Language Processing
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Computer Vision

Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Blob Detection & Analysis

Deep Learning

Convolutional Neural Networks
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Document Classification

Virtual Reality

Application Development
Augmented / Mixed Reality
Collaboration
Content Creation
Cross-Device Publishing
Drag & Drop
Immersive Training
Process Simulation
Product Visualization
Social Sharing
User Interaction Tracking
Virtual Meetings
Virtual Prototyping