// customers · 4,200+ teams

How teams ship LLM features on Your Business.

Real workloads, real numbers, real engineers willing to put their names on it. Below: deep case studies and pull-quotes from teams running production agents on Your Business today.

CURSORlinearReplicateNOTION AIVercelSourcegraphGranolaHex
// case studies

Six teams, six workloads

Each one is a real customer with a real LLM workload. Numbers are from their production traffic, audited by us, signed off by them.

linear
// Project mgmt SaaS

Cut p95 latency on AI triage by 41% in three releases.

Linear's AI triage assigns issues to the right project and adds the right labels on creation. After installing Your Business, the team identified one underperforming retrieval span as the cause of 60% of the p95 — and fixed it in the next release.

−41%P95 latency
4.2Mspans / month
11dinstall to insight
Read the Linear study →
NOTION AI
// Productivity

Caught a brand-voice regression before it hit 100% of users.

A new prompt version was rolled out as a 5% canary. Within 90 minutes, a brand-voice eval slice dropped below threshold. Notion AI's team got an alert in Slack, rolled back the canary, and avoided shipping the regression to the rest of their users.

5%canary blast radius
90minregression to rollback
0customer reports
Read the Notion AI study →
Replicate
// AI infra

Attributed 96% of LLM spend to a feature, customer, and model.

Replicate's internal AI features were sharing infrastructure with their customer-facing inference API. After tagging every span with feature, customer_id, and model, the team broke the bill down at the slice level and re-allocated cost back to the right product line.

96%spend attributable
$140kquarterly reallocation
3features rebudgeted
Read the Replicate study →
Sourcegraph
// Developer tools

Replayed an outage in 30 seconds, fixed it in two hours.

A code-search feature regressed after a model upgrade. The on-call engineer pulled the worst trace, replayed it locally, stepped through the failing tool call, and shipped a fix to the prompt registry — all before the next release window.

30sto local repro
2hincident MTTR
1prompt rev
Read the Sourcegraph study →
Granola
// AI notes

Built 4,800 evals in CI from production traces.

Granola's team curated a dataset directly from production traces — every meeting transcript that produced a complaint went in. They now run 4,800 evals per release in CI, and the dataset grows by ~200 traces a week without anyone having to label by hand.

4,800evals / release
200/wkauto-curated
0manual labels
Read the Granola study →
Vercel
// Cloud platform

Migrated AI SDK telemetry to Your Business in one afternoon.

The Vercel AI team replaced their previous tracing stack with Your Business in a single PR. Auto-instrumentation for the AI SDK meant existing app code didn't change. Two weeks later, evals were running on every production response.

1 PRto migrate
2 wkto evals on prod
0app code changes
Read the Vercel study →

What our customers actually said

The replay feature alone is worth the price. We used to spend two engineers a day chasing flaky tool-call bugs. Now I drop a breakpoint in a sandbox replay and it's done in twenty minutes.
Priya SundaramStaff Engineer · Cursor
Your Business was the first observability tool I've installed where the dashboard told me a real bug in the first hour. Most of them take a week to be useful. This took ninety minutes.
Marc AchterbergEng Lead · Linear
Per-span pricing is the right model. We added the whole company — 60 engineers — to the dashboard on day one and it didn't change our bill. Try doing that with a per-seat APM.
Yuki TanakaPlatform Eng · Notion AI
The dataset feature changed how we test. We used to write evals by hand. Now we curate them from real production traces — and we have ten times more eval coverage than we did six months ago.
Aisha RahmanML Eng · Granola
Three lines of SDK and we got latency, cost, and eval scores in one place. We removed two other tools the same week and the dashboards are still better than they were.
Devon WalshFounding Engineer · Hex
Your Business is the only LLM-obs tool that actually thinks like an observability tool. We pipe everything to Datadog, and it just works — no parallel dashboards, no extra context-switching.
Jared LinSRE Lead · Replicate

Ship like the teams above. Free up to 50k spans.

Drop in three lines of SDK and you'll see your first trace in the dashboard in under a minute. No credit card. No mandatory call.

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