Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
EnSuite-Lite offers viewers for a wide array of popular CAD formats, ensuring that users can access these files without the need for any CAD software or licenses. The software currently supports various viewers, including those for CATIA V4, V5, V6 (3dxml), SolidWorks, Solid Edge, Inventor, Rhino, JT, Parasolid, ACIS, IGES, STEP, VDA, CGR, DWF, SketchUp, and STL. Additionally, EnSuite-Lite features intuitive tools that allow users to extract precise information from major CAD systems, offering functions such as measuring, bounding box analysis, footprint assessment, model comparison, and many more. Beyond just viewing and productivity tools, EnSuite-Lite also enables data export to IGES, STEP, and 3D PDF formats. The software includes capabilities for measuring various geometric entities within CAD models, providing tools to assess distance and angle, length and radius, area and perimeter, volume and weight, and fillet and chamfer, among others. Furthermore, these robust features make EnSuite-Lite an essential tool for professionals who require accurate and efficient CAD data management.
Description
LiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications.
API Access
Has API
No
API Access
Has API
Yes
Integrations
C++
No
Google AI Edge Gallery
No
JAX
No
Java
No
Kotlin
No
Objective-C
No
PyTorch
No
Python
No
Swift
No
TensorFlow
No
Integrations
C++
Yes
Google AI Edge Gallery
Yes
JAX
Yes
Java
Yes
Kotlin
Yes
Objective-C
Yes
PyTorch
Yes
Python
Yes
Swift
Yes
TensorFlow
Yes
Pricing Details
$1,045 per year
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
CADCAM-E.COM
Founded
1989
Country
United States
Website
www.cadcam-e.com/3DCADVIEWER-TRANSLATOR.aspx
Vendor Details
Company Name
Founded
1998
Country
United States
Website
ai.google.dev/edge/litert
Product Features
CAD Viewers
Annotate
No
Batch Conversion
No
Collaboration Tools
No
Editing
No
Track Changes
No
View .DWF Files
No
View .DWG Files
No
View .IGES Files
No
View .STEP Files
No
View .STL Files
No
View 2D Files
No
View 3D Files
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No