Priced for How You Actually Use AI
AI Factory usage is structured as a combination of base platform fees, usage-based charges, and implementation services — reflecting the different phases of AI development, from early model exploration through production deployment at scale.
Commercial Structure
Three Components, One Flexible Model
Most AI Factory customers engage across all three components over time. Early-stage customers may start with implementation services and base access; production deployments add usage-based charges as inference volume grows. The structure is designed to match your actual consumption — not to lock you into a fixed tier before you know what you need.
Base Platform Fees
Access to the AI Factory infrastructure — model training environment, the training pair builder, validation tooling, and deployment pipeline. Base fees cover the platform access required to build and manage AI models, independent of how much inference you run.
- AI Factory environment access
- Training pair builder and data tooling
- Model validation and review workflows
- Deployment pipeline to production
Usage-Based Charges
Inference charges scale with how much you actually run your deployed models. Usage is metered at the inference level — so organizations running AI at high volume pay proportionally, and early-stage customers aren't penalized for low initial usage.
- Per-inference metering on deployed models
- Scales with production volume
- No minimum inference commitment
- Usage reporting and cost visibility
Implementation Services
For organizations that want hands-on support building their first models, designing training datasets, or integrating AI Factory outputs into custom workflows. Implementation services are scoped and quoted separately from platform and usage fees.
- Training data strategy and dataset design
- Model architecture and training guidance
- Workflow integration for AI-powered tools
- Ongoing model improvement support
Who Uses AI Factory
Built for Organizations Ready to Own Their AI
Large O&P Organizations
Organizations with proprietary clinical data who want to build AI models that encode their own expertise — not rely on generic models built on someone else's data.
Manufacturers & OEMs
Device manufacturers and component suppliers who want to embed AI-powered design assistance directly into clinical workflows used by their customers.
Research & Academic Partners
Institutions conducting clinical research who need a structured environment to build, validate, and deploy AI models in real clinical workflows.
AI Factory Pricing Is Always Quoted Directly
Because AI Factory usage varies significantly by organization — in data volume, model complexity, inference load, and implementation needs — pricing is always scoped and quoted directly by our team. There is no self-serve AI Factory tier.
Talk to Our Team About AI Factory
Whether you're exploring what's possible or ready to start building, the conversation starts here.