The teams behind agents people rely on
From 4-person startups to public companies, these teams use Sightline to find failures, prove fixes and ship faster.
Ledgerly shipped an AP-automation agent to its first 200 customers with every invoice decision traceable for auditors.
Mosaic Health runs guardrails on 900k patient messages a month, with redaction verified on every trace.
Harbor AI found that 46% of its model spend came from one retry loop in a code-review agent.
Parcel uses Replay to test every prompt change against last week’s hardest delivery complaints.
Quantive’s research agent now cites a source for 99.2% of the figures it reports to analysts.
Orchard runs twelve merchandising agents from one Sightline workspace, with a CI gate on each.
In their words
What engineers, PMs and support leads say after a few months with Sightline.
Our logs told us an agent run took 40 seconds. Sightline told us 31 of those seconds were one vector search against the wrong index.
The judge calibration view is the reason our compliance team signed off. They could see exactly where the model and our reviewers disagreed.
Replay changed how we ship. No prompt change goes out without running against the last 500 escalations.
Setup took one afternoon. The first bug we found was costing us about $900 a day.
I’m a support lead, not an engineer, and I can still open a trace and understand why the bot said what it said. That was never true before.
We tried building this on top of our APM tool. After three months we had dashboards but still couldn’t answer “why did it refund that?”
