Company

What changes after the migration.

Three teams, three very different workloads, one pattern: the integration stopped being a project and became a configuration file.

Talk to usEnterprise
  • Millionsof requests served daily
  • 99.99%uptime
  • 9regions
  • 200+models available

“We moved four services onto the unified API in a week. The routing config replaced about 2,000 lines of provider-specific glue, and our p95 dropped along the way. The part I did not expect was the accounting — we can finally answer what a feature costs.”

Placeholder NameHead of Engineering, A Series B fintech
68%lower inference spend
2.4xfaster p95
4services migrated
  • Replaced three provider SDKs with one client
  • Routes background reconciliation to open-weight models, interactive paths to frontier
  • Per-customer cost attribution feeds their own margin reporting

“Latency is the product for us. Routing on measured time-to-first-token rather than on a guess about which model is fastest today took a full second off the median. The traces told us where the rest of the time was going, and it was our own tool calls.”

Placeholder NameCTO, A developer tools company
1.1soff median latency
99.99%availability
0provider outages felt
  • Latency-optimised routing with a quality floor
  • Shadow traffic used to qualify every model upgrade before rollout
  • OpenTelemetry export into an existing observability stack

“We ran a model migration with shadow traffic for two weeks and cut over with no incident. Previously that would have been a quarter of work and a lot of nerves. Data residency was the thing that got us through procurement.”

Placeholder NameStaff Engineer, A healthcare platform
2 weeksshadow before cutover
0incidents at cutover
EUdata residency
  • Zero-retention mode with EU-pinned inference and storage
  • Deterministic replay used to validate the new route against historical requests
  • SSO and audit logs mapped onto existing compliance processes

Customer names, quotes, and figures are illustrative placeholders. Replace with your own case studies before publishing.

Common patterns

What teams do in the first month.

Consolidate first, route second

Almost everyone moves to the unified API before turning on routing. One integration is worth having even if every request still goes to the same model.

Instrument before optimising

Traces usually reveal that the expensive part is a tool call or an oversized system prompt, not the model. Prefix caching often lands before routing does.

Qualify with shadow traffic

Nobody switches models on a vendor benchmark. Teams mirror live traffic, diff the outputs against their own evaluation set, then promote.

Where it fits

Workloads that benefit most.

WorkloadTypical objectiveWhat routing buys
Support triage and classificationCostSmall models handle the bulk; frontier models see only the hard tail.
Document extractionCost, then qualitySchema-constrained output makes a cheap model safe to use.
Interactive assistantsSpeedRouting on measured time-to-first-token, with failover that users never see.
Agentic workflowsQualityTool-capable models only, with a fallback chain so a long run does not die at step nine.
Batch reasoningCostLatency ceilings relaxed, so the cheapest qualifying model wins every time.
Embeddings at scaleCostOne endpoint across embedding providers, with usage attributed per index.

Tell us what you are building.

We will be honest about whether routing helps your workload or not.

Talk to us Read the docs