DEPLOY AND SCALE
3D DATA PREP WORKFLOWS
FOR 3D VISUALIZATION EXPERIENCES
DEPLOY AND SCALE
READY-TO-USE 3D OPTIMIZATION SCENARIOS
“The ideal solution for IT specialists who need to ease and widespread 3D Data Prep for various audiences”

* 3D Data Prep Scenarios are provided separately on Pixyz GitLab repo.
Bespoke scenarios possible (Contact us).
SCALE YOUR 3D DATA PREP WORKFLOW WITH AWS ELASTICITY
DEPLOY SCENARIO PROCESSOR ON YOUR SECURED AWS TENANT

READY-TO-USE SCENARIO FOR AWS
Choose the 3D optimization scenario that fits your needs among our library of ready-to-use scenarios which are pre-configured to connect to your 3D files stored on AWS

FRICTIONLESS SCALABILITY
Use it from time-to-time or extensively, Scenario Processor natively takes benefit from formidable AWS resource elasticity and containerized applications orchestration

FLEXIBLE PRICING
Choose between Pay-as-you-go or yearly subscription
PRICING
Features | Dedicated Instance | Pay-as-you-go |
---|---|---|
Conversion | ✔️ | ✔️ |
Optimization | ✔️ | ✔️ |
Batch processing | ✔️ | ✔️ |
Ready-to-use scenario | ✔️ | ✔️ |
Bespoke scenario1 | ✔️ | ✔️ |
Auto-scaling | ✔️2 | ✔️ |
Price | 10,000 € /year/instance | 13 €3 /hour/instance |
2 Any additional instances running in parallel that are not covered by a yearly subscription will automatically switch to Pay-as-you-go.
3 Billed by the second, first minute indivisible.
FAQ
1. Why using Scenario Processor for AWS?
Deployment and scalability on the cloud is not that easy, with this AWS offer it is now.
No need to learn 3D Data Prep, just use our existing optimization scenarios.
2. Who is it for?
IT specialists who need to ease and widespread 3D Data Prep for various audiences.
Enterprise having low budget to start with.
3. Where are my data processed?
Scenario Processor operates your data on your AWS tenant, on your own AWS virtual machines.
4. Should I use Scenario Processor AWS or Batch?
Whereas Pixyz Batch is a 3D Data Prep workflow development environment, Scenario Processor AWS is dedicated to production use with high scalability capacity.
5. Can I have custom optimization scenarios?
Yes, please contact us.