Frontier computer vision, on demand
Model Foundry
Your hardest camera problem. An evaluated model ready for production.
Engage Score's specialist computer vision team to build an evaluated, production-ready model for your hardest camera problem.
How the engagement works
Scope the task
Define the scene, failure cases, output schema, and production constraints.
Establish ground truth
Provide reviewed annotations, submit raw media, or have Model Foundry source and label the data.
Define the evals
Lock the eval split, metrics, target thresholds, latency, and model budget.
Select the best model
Compare candidate models on the same evals and approve the production artifact.
You control the release decision
Every candidate runs against the same eval contract. Nothing ships—and no budget is released—until you approve a model that clears the target thresholds.
Foundry work
Active model projects
Track the task specification, eval targets, candidate models, and production deliverables for each engagement.
Eval-driven development
Eval data, metrics, and target thresholds are defined before model development starts.
Engineer-reviewed evals
Compare candidate models on accuracy, class-level failures, and runtime performance.
Production handoff
Receive runnable weights or a private endpoint with the evaluation record attached.