Does Tessary use my data to train AI models?

No. Tessary runs no training or fine-tuning pipeline on customer data: your traces get read to evaluate your agent, never to train a model, yours or anyone else’s.

Data also doesn’t cross between organizations by default. Tessary runs single-tenant, so your traces, findings, and cases stay inside your own account with no pooling across customers. The one exception is opt-in: an org can choose to contribute aggregate statistics, never raw trace content, toward a shared baseline. Nothing crosses without that explicit choice, what crosses is a number rather than a trace, and it is not a training input even then.

keep reading

More on this.

Is Tessary a trace explorer?Not primarily. Tessary stores every trace as evidence, but the viewer is built for confirming a case a classifier already flagged, not open-ended browsing.answer →What does a production span carry that a dataset row cannot?Fields like session.id, deployment.environment.name, and the tool call that actually ran, context that only exists because a real request happened.answer →What is a trace?A trace is Tessary's stored record of one agent turn: one request a user waited on, and the spans that ran to produce its answer.answer →Everything on tessary tracesThe definition, and every question answered under tessary traces.concept →

Two ways to run Tessary.

Tessary is an open-source agent reliability platform. Cloud and self-hosted run the same workflow on the OpenTelemetry traces your agent already emits.

Tessary Cloud

We host it for you. Send your first trace with nothing to deploy and no model key.

what's includedper organization
traces
10,000 per calendar month
stored trace data
1 GB
retention
30 days
model credit
$10, one-time, for triage and root-cause analysis
credit card
not required
start for free

Self-hosted Tessary

Run the open-source code on your own infrastructure with one command. Add your own model key for triage and root-cause analysis.

Self-host Tessary for me by following https://github.com/tessaryai/tessary/blob/main/setup.md

docker compose -f oci://docker.io/tessaryai/tessary:compose up -d -y