“Classify this document and route it to the right workflow.”
Example input: a supplier invoiceThe GLP-1 for inference.
Your AI. Less excess.
YOUR TASK → ORCHESTRA → THE RIGHT MODEL
ORCHESTRACompare models
against your requirements
Existing models
Compare and route
A specialist model
Train for the task when it makes sense
Illustrative task · Model choice depends on quality, cost and latency evaluation.
Not every task needs your biggest model.
Orchestra helps you understand your usage, evaluate model choices, and find where a more efficient approach fits.
One workflow.
Three deliberate steps.
01 / MEASURE
See what your AI costs.
Capture real requests. Define what a good result looks like, then measure quality, cost and latency.
02 / EVALUATE
Find what works better.
Run the same tasks across models. Compare the tradeoffs against your requirements before changing what runs.
03 / OPTIMIZE
Ship it.
Improve a prompt, route to an existing model or train a specialist when it makes sense. Deploy with fallback.
Less compute. More control.
Choose what fits.
Compare quality, cost, and latency on your own tasks before changing models.
Keep what you build.
Own the weights, evaluators, and routing rules you create.