Reduce inference cost.
Identify workloads that can move from expensive models to better-value alternatives. Compare the economics against your own quality requirements.
Roten for enterprise
AI infrastructure for
production workloads.
Make model choice an operating advantage. Keep the performance you need, and bring the cost of your workload into focus.
Built around your workload
A clearer path from
evaluation to production.
Access multiple model families.
Bring supported model families into one technical and commercial relationship, with a consistent API integration.
Pricing that matches your volume.
Discuss custom pricing for meaningful consumption, based on the model mix and workload you expect to run.
Local contracts and invoicing.
Talk through contracting, invoicing and commercial support requirements for your company and market.
Technical support for migration.
Work through model selection, integration changes and a measured rollout with the Roten team.
A practical migration
Keep what works.
Change what costs.
Start with your existing workload. Review model quality against real tasks, identify suitable alternatives and decide which traffic can move.
The migration is an advisory process. Model selection and rollout remain deliberate decisions, informed by your tests and application requirements.
How we compare models- 01 / Current workload
Your existing model mix
GPT · Claude · other models
- 02 / Workload review
Evaluate with Roten
Quality requirements · model fit · inference cost
- 03 / Select and test
Keep premium models
Where your tasks require them.
Move suitable traffic
Evaluate suitable value models from the curated catalog.
- 04 / Production goal
Lower blended inference cost
With the model mix your workload supports.
Start with the right context
Bring us your workload.
Current models, approximate monthly usage and the product you are building give us a useful starting point.
Enterprise access
Running meaningful AI traffic?
Talk to us about volume pricing, model selection and migration.