Aient vs Resolve.ai
Resolve.ai is sold through enterprise sales with no public pricing. Aient is transparent and self-serve — a flat $99 entry plus usage, OpenTelemetry-native, that closes the loop to a reviewed, production-verified fix PR.
Side by side
How Aient and Resolve.ai differ
| Axis | Aient | Resolve.ai |
|---|---|---|
| Pricing model | AientFlat $99/mo base + usage for the AI work, published openly. Set a budget; Aient stays within it. | Resolve.aiNo public pricing — Resolve.ai is sold through enterprise sales (contact sales). |
| OpenTelemetry-native / lock-in | AientOTel-native, one-click instrumentation (server + browser). CNCF-standard data, no proprietary lock-in. | Resolve.aiAn AI SRE in the same category; integration and data model are arranged through their sales process. |
| Closed-loop, production-verified PR | AientDetect → 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. | Resolve.aiPositioned as an AI SRE for investigation and remediation; scope is defined in the enterprise engagement. |
| Telemetry billing | AientWe don't sell on data volume — telemetry is an at-cost, retention-bounded input, never a headline meter. | Resolve.aiNot publicly disclosed. |
| Transparency / self-serve | AientPublic pricing, self-serve sign-up, live spend tracking against a budget ceiling you set. | Resolve.aiSales-led: a demo and an enterprise contract, rather than self-serve sign-up. |
| Free tier | AientNo free tier — a card-gated warm-up trial you can start yourself. | Resolve.aiNo public free tier or self-serve trial. |
The difference that matters
Why teams choose Aient
Transparent and self-serve
You can read our pricing and start yourself — a flat $99 entry plus usage for the AI work — without booking a demo or negotiating an enterprise contract first.
OpenTelemetry-native, no lock-in
Aient reads standard OpenTelemetry data with one-click instrumentation. Your telemetry stays CNCF-standard and portable — there's no proprietary format to commit to.
The loop ends in a verified PR
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 Sentry Seer
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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.