Our packaging and
pricing policy

Edge AI Sprint Package

The “Edge AI Sprint Package” was developed to help you build your prototype/PoC with limited risk and investment and maximum chance of success.

Content:

  • 2 Half days Education
  • Your choice:
  • 3 to 6 months license
  • 4, 8 or 16 days of Tech support
  • Q&A access to R&D
  • Right to copy unlimited number of development ML libraries on ST development board.

Edge AI Sprint Package

The “Edge AI Sprint Package” was developed to help you build your prototype/PoC with limited risk and investment and maximum chance of success.

Content:

  • 2 Half days Education
  • Your choice:
  • 3 to 6 months license
  • 4, 8 or 16 days of Tech support
  • Q&A access to R&D
  • Right to copy unlimited number of development ML libraries on ST development board.

NanoEdge AI STUDIO

You want to design ML libraries?

DESIGN Software on PC

Run NanoEdge AI Studio on your PC and generate ML libraries

Solo licence for one user

Team: site license

NanoEdge AI OBJECT

You want to deploy ML libraries ?

DEPLOY Device licences

Deploy one time license to use the ML library on each device. 

Billing by number of objects

Volume based pricing :

Thousand to millions, a few $ to a few cents.

Entry

For embedded developers who want to assess technology and rapidly build a prototype

  • Unlimited access to library selection
  • Rapid testing using an emulator
  • 2 weeks evaluation

Unlimited number of prototypes on selected partners demo boards

Pro

For entreprises who want to build a ready to run solution for production purpose

All entry capabilities plus:

  • Technical support and use case validation
  • Automatic access to all new algorithms and technical improvement
  • Flexible options for individual developers or teams

Unlimited number of prototypes on any Arm Cortex-M

Corp

For entreprises who want to deploy a family of devices

All pro capabilities plus:

  • Unlimited number of developers
  • Unlimited number of projects
  • Unlimited number of devices deployed
  • Multi year dedicated R&D support