Private Industrial Collaboration
Move from open reference intelligence to plant-specific deployment, privately, with customer-owned IP and no public disclosure. Open industry knowledge and private customer advantage are kept separate.
Technical collaboration, not a sales process
Grounded in industrial metal-transformation problems. Private fine-tuning for plant-specific deployment; open reference models for learning and benchmarking.
Metal AI Data Readiness Review
A structured review of your operational data to see what a plant-specific model could predict, before any modelling begins.
Private model fine-tuning
Fine-tune an open reference model on your data in a private deployment. The result stays private and is never benchmarked publicly.
Plant-specific model development
Develop models around your process, chemistry, and equipment behaviour, with customer-owned IP pathways.
Secure deployment
On-prem or private cloud deployment that keeps data within your environment, with per-engagement isolation.
Joint research
Collaborate on research without public disclosure, or contribute to open research where appropriate.
Industry challenge sponsorship
Sponsor an open benchmark or challenge on a problem your industry cares about.
Academic collaboration
Partner with research groups on open methods, datasets, and benchmarks for metal transformation.
Community contribution
Contribute open reference models, synthetic datasets, and research to the community layer.
Request a Technical Discussion
Tell us what you'd like to explore. We'll follow up to scope a technical conversation. No confidential detail needed to start.
Submit a Non-Confidential Data Sample
Share a non-confidential sample to explore what a model could predict. Only non-confidential material should be submitted.