Customers
/
Northwind Labs

Cut inference cost 62%in two weeks.

Northwind moved routing to Lattis and let the quality bar choose the model per request.

Cut inference cost 62% in two weeks without touching the product.
62%
lower inference cost
38 ms
p50 latency
0
code changes in the app
2
outages absorbed

The challenge

Northwind ran every request through one provider, at one price, with no fallback. Two outages in a quarter took their assistant offline, and the inference bill grew faster than revenue.

The change

The team pointed their client at Lattis and set a quality threshold of 0.92, measured on 1,800 real support conversations. Routing now picks the cheapest model that clears the bar, request by request.

router: model: auto quality: 0.92 fallback: [open-70b, frontier-xl] eval_suite: support-v3

We expected a migration. It was a config change.

Maya Lindqvist
,
CTO
,
Northwind Labs

The result

Costs fell 62% in the first two weeks. Median latency settled at 38 ms, and two provider outages since then were absorbed by fallback with no customer impact.

Before Lattis, and after.

Measured over 90 days
Monthly inference cost
Before
$48k
After
$18k
p50 latency
Before
61 ms
After
38 ms
Outages with customer impact
Before
2
After
0
Closing the gap

The platform underneath your AI product.

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