v0.0.1 • In Peer Review

Enterprise Licensing

Beyond Open Source

The LocalM AiD Framework is available under dual licensing:

| **MPL 2.0 + Attribution** | **Enterprise License** | | ------------------------------------ | ---------------------------- | | Free and open source | Commercial license | | Commercial use allowed | Commercial use allowed | | Attribution required | No attribution required | | Modifications to MPL files disclosed | Keep all derivatives private | | Community support | Expert support | | Self-service | Training & coaching |

View MPL 2.0 + Attribution requirements →


Enterprise License Benefits

Keep Derivatives Private

Adopt and derive work without disclosing or open-sourcing your enterprise customizations.

No Attribution Required

Deploy without public attribution requirements—use the framework privately and internally.

Expert Support

Priority technical support and implementation guidance from framework authors.

Training (On Demand)

Workshops and training sessions tailored to your teams and adoption journey.

AI Coaching

Personalized guidance on AI governance implementation and best practices.

Custom Policies

Tailored governance policies and principles specific to your organization.


When to Choose Enterprise

Scenario MPL 2.0 + Attribution Enterprise
Internal use with attribution
Open-source projects
Private derivative works
Remove attribution requirements
Expert support & guidance
Custom framework modifications
Training and workshops
AI coaching and consulting

Contact Us

Ready for Enterprise?

Contact us to discuss your requirements and explore enterprise options.

Contact Enterprise Sales

Or email enterprise@localm.ai


Open Source Commitment

We remain committed to the open-source community. Enterprise licensing is an additional option for organizations with specific requirements—not a replacement for open source.

The MPL 2.0 + Attribution license ensures:

  • ✅ Framework remains freely available
  • ✅ Contributions benefit everyone
  • ✅ Transparency in AI development practices
  • ✅ Community-driven improvements