TEMP LPBF MENU (For Testing Only)
You’ve seen the light, and now you can control it. Get started for free.
Everything you need as a LPBF user. Supports, nesting, slicing, and full control over your toolpath. Single & multi-optic machine support.
For when you’re in production or need something custom. All the features of LPBF Pro, plus scriptable lights out automation.
Recommended For
Coming Soon for Non LPBF Users.
Users of Aconity, EOS, Renishaw, SLM and Xact Metal Machines.
Users interested in lights out production.
Site Licenses.
Additive CAM
Go beyond build prep - work with massive files and thousands of parts with scalable Nvidia GPU-based performance*. Build recipes to included features with UI recording. Learn More
*Requires Nvidia GPU card
Coming Soon for Non LPBF Users.
TBA
Are your end users developing a production line around your hardware?
Contact Dyndrite to customize a plan to fit your machine or production needs.
Materials & Process Development
Better machine utilization, more materials, better parts. Sophisticated scanpath control based on 3D geometry feature analysis
Learn More
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Process Qualification & Calibration
Reduce setup and verification time by automating: build layout, parameter assignment, labeling, logging process.
Learn More
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Production & Automation
Develop and deploy repeatable, traceable, and automated GUI or headless build preparation workflows. Learn More
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Advanced Build Recipe Usage for Production Automation
EULA Limits
TBA
Commercial Limit for Automation
No Limits
Terms
TBA
Yearly Subscription
Introductory pricing and Volume Pricing Available
Bespoke
Support
TBA
Email, Slack, Phone (On Call, Site / Optional)
Advanced Build Recipes
Lighthouse Priority
Build Recipe Development
Example:
HP Z Book (laptop)
Intel(R) Core(TM) i7, 2.60GHz
16.0 GB Ram
NVIDIA Quadro RTX 3000 graphics card
Example:
Dell Precision 5820 Tower (Desktop)
3.5 GHz Xeon with 24 cores
256 Gb RAM
16-24 Gb VRAM, e.g. NVIDIA
A4000/A5000
512+ GB NVME SSD
Example:
Contact Dyndrite
Additional Requirements
You have a Windows 10 computer with an Nvidia GPU that supports CUDA level 5.0 or higher (Basically any GeForce or Quadro card made in 2015 or newer).
You have installed the latest Nvidia Drivers for that computer. (https://www.nvidia.com/Download/index.aspx?lang=en-us)
You have installed Python 3.8 on your computer. (https://www.python.org/downloads/release/python-386/)
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