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Organization

Evidence-Based Task Routing

01

Task Interpretation

Read every request in full-system context before deciding.

Task-Type Classification

Detect what each request actually is - SQL, summarization, code, and more.

System Context

Factor in live conditions: payload size, load, hardware headroom.

Constraints & SLAs

Honor the latency budget, quality bar, and data-residency rules per task.

Task interpretation branching into task-type classification, system context, and constraints and SLAs

02

Routing Engine

Map each task to its best-fit model against the objectives that matter to you.

Cost-Quality Tradeoff

Weigh compute cost against measured quality for every candidate model.

Multi-Objective Weighting

Balance cost, quality, latency, and energy under a policy you set.

Judge-Scored Quality

Use judge models to score outputs on your workloads, not vendor benchmarks.

Judge-scored quality feeding a routing decision weighed against cost, latency and energy

03

Continuous Improvement

Decisions sharpen as your system changes.

Drift-Aware Selection

Routing shifts as live model and workload characteristics move.

Policy Refinement

Recommendations improve as new production evidence arrives.

Zero-Latency Execution

Routing runs as local policy, outside the request path - no proxy, no hop.

Drift-aware selection feeding policy refinement and zero-latency execution in a loop

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