Move traffic from frontier to local models — only once you've earned the trust.

Lakuna maps your real workloads against local model candidates, proves quality with deterministic checks and A/B testing, and progressively migrates qualified traffic away from expensive frontier calls.

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40%cost reduction
68%latency reduction
<2%qualified request failures
Process

How Lakuna works

01

Start on frontier

All traffic begins on the frontier model. Nothing moves until it's proven safe to move.

02

Map real workloads

Actual requests get clustered into work-types, not synthetic benchmarks.

03

Qualify local candidates

Deterministic verification plus selective A/B testing scores each model against each cluster.

04

Migrate qualified traffic

Only clusters that clear the quality bar move to local models — progressively, and measured the whole way.

Rationale

Why this, why now

Routing research shows complementary models beat any single strongest model. Lakuna packages the measurement-and-transition system that serious teams currently stitch together by hand.

Trust before traffic

No traffic moves to a local model until the matrix says it's earned it.

Cheap to maintain

Only affected cells get invalidated when a model, prompt, or runtime changes.

A learning loop

The matrix shows exactly where local models fall short — pointing straight at what to train next.

Early access

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This is a placeholder — no backend wired up yet.