Comparison
Aient vs Sentry Seer
Seer autofixes inside Sentry's ecosystem as a per-active-contributor add-on on top of a paid Sentry plan. Aient is a standalone, OpenTelemetry-native AI SRE that closes the loop to a reviewed, production-verified PR — on a flat $99 base plus usage, with no lock-in.
How Aient and Sentry Seer differ
| Axis | Aient | Sentry Seer |
|---|---|---|
| Pricing model | Flat $99/mo base + usage for the AI work. One predictable bill; set a budget and Aient stays within it. | An add-on: $40 per active contributor / month, charged on top of a paid Sentry plan (Team $26 or Business $80). |
| OpenTelemetry-native / lock-in | OTel-native, one-click instrumentation (server + browser). CNCF-standard data, no proprietary lock-in. | Built into Sentry's error-monitoring platform — you adopt Sentry's SDKs and ecosystem to use it. |
| Closed-loop, production-verified PR | Detect → triage with source-code context → open a reviewed GitHub PR → after you merge, verify in production that the problem is resolved, and reopen it if it regresses. | Autofixes issues within Sentry's ecosystem; the loop centers on Sentry's issue stream. |
| Telemetry billing | We don't sell on data volume — telemetry is an at-cost, retention-bounded input, never a headline meter. | Sentry's base plans are metered on error events, on top of which Seer's per-contributor add-on sits. |
| Transparency / self-serve | Public pricing, self-serve sign-up, live spend tracking against a budget ceiling you set. | Public, self-serve pricing — billed per active contributor on top of the Sentry subscription. |
| Free tier | No free tier — a card-gated warm-up trial instead. | Sentry has a free $0 tier, but Seer itself is a paid add-on. |
Why teams choose Aient
Standalone, not bolted onto one platform
Aient reads standard OpenTelemetry data from your own stack. You don't have to standardize on a single vendor's SDKs and ecosystem to get autonomous remediation.
Priced by the work, not per contributor
A flat $99/mo base plus usage for the AI work — instead of a per-active-contributor add-on stacked on top of a paid base plan. Set a budget and Aient stays within it.
The loop ends in production
Aient opens a reviewed GitHub PR and, after you merge, verifies in production that the error actually stopped — reopening the problem if it regresses.
See also: Aient vs Resolve.ai
Put an AI SRE on call
Connect your OpenTelemetry data and GitHub, and let Aient close the loop on your production bugs — all the way to a reviewed, production-verified fix.