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Average Ratings 0 Ratings

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ease
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Description

Our cutting-edge geometric deep learning technology seamlessly connects tangible objects with digital programming. We are revolutionizing the landscape of engineering, industrial design, and procurement, empowering innovators and creators through the transformation of each 3D model. Leveraging unique algorithms alongside sophisticated geometric deep learning, Physna translates 3D models into comprehensive data that can be interpreted by various software applications. By allowing 3D models to be analyzed and manipulated like traditional code, Physna’s innovation effectively closes the divide between the physical realm and the software-centric digital domain. The platform evaluates CAD and other types of 3D models, producing a codified version known as the “Physna DNA” of each model. This digital representation enables Physna to highlight intricate differences and similarities across models, even those that are incomplete or formatted differently. Furthermore, it provides visibility into all components within complex assemblies, including parts nested within other parts, which enhances the understanding of intricate designs. Ultimately, this technology opens new avenues for collaboration and efficiency in various industries.

Description

SKY ENGINE AI provides a unified Synthetic Data Cloud designed to power next-generation Vision AI training with photorealistic 3D generative scenes. Its engine simulates multispectral environments—including visible light, thermal, NIR, and UWB—while producing detailed semantic masks, bounding boxes, depth maps, and metadata. The platform features domain processors, GAN-based adaptation, and domain-gap inspection tools to ensure synthetic datasets closely match real-world distributions. Data scientists work efficiently through an integrated coding environment with deep PyTorch/TensorFlow integration and seamless MLOps compatibility. For large-scale production, SKY ENGINE AI offers distributed rendering clusters, cloud instance orchestration, automated randomization, and reusable 3D scene blueprints for automotive, robotics, security, agriculture, and manufacturing. Users can run continuous data iteration cycles to cover edge cases, detect model blind spots, and refine training sets in minutes instead of months. With support for CGI standards, physics-based shaders, and multimodal sensor simulation, the platform enables highly customizable Vision AI pipelines. This end-to-end approach reduces operational costs, accelerates development, and delivers consistently high-performance models.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Physna

Founded

2015

Country

United States

Website

physna.com

Vendor Details

Company Name

SKY ENGINE AI

Founded

2018

Country

United Kingdom

Website

www.skyengine.ai

Product Features

3D Modeling

2D Drawing
Animation
Annotations
Bill of Materials
Character Modeling
Collaboration Tools
Component Library
Data Import / Export
For 3D Printing
For Architects
For Manufacturers
Reference Management
Simulation

Computer Vision

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

Product Features

Artificial Intelligence

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

Computer Vision

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

Deep Learning

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

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

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