ORM-2.2
An AI model provider operating it internally, under ORM 2.2
Trains, fine-tunes, or serves machine learning models commercially. Running the Work inside your organisation at operating scope. This resolves to the Canopy tier.
Tier
Owed
0.5% of revenue attributable to products or services that depend on the Work, capped at $250,000 per year, plus a quarterly Canopy Report.
Sections in play
1.8, 1.9, 3.1, 5.1, 5.2
Who and what
The situation being resolved.
Actor
An AI model provider
Trains, fine-tunes, or serves machine learning models commercially.
over 2M USD
Situation
Operating it internally
Running the Work inside your organisation at operating scope.
Rulings
3 questions resolved against the text.
Which tier applies?
Canopy. Trains, fine-tunes, or serves machine learning models commercially. Section 5.2 reporting applies; the Section 5.1 royalty attaches when the Licensee makes Production Use and only to attributable revenue.
Sections 1.8, 3.1, 5.1
Is anything owed?
0.5% of revenue attributable to products or services that depend on the Work, capped at $250,000 per year, plus a quarterly Canopy Report.
Sections 5.1, 5.2
Does this count as Production Use?
Yes. Running the Work inside your organisation at operating scope. Section 1.9 covers internal operation at operating scope and systems made available externally to customers or the public. Development, testing, evaluation, research, and personal non-revenue use remain outside it.
Sections 1.9
Cautions
What this situation gets wrong most often.
Section 8.3 forbids imposing a user ceiling, a regional exclusion, or an output-training restriction downstream where this licence imposes none. That prohibition is the point of the instrument.
Same actor
Other situations for this party.
Non-normative. Where this and the licence text disagree, the licence text applies.