Optibot
Deep AI code review with engineering analytics
About Optibot
Optibot combines two things usually sold separately: AI pull request review, and analytics about how a team actually ships. Review tools tell you about a diff. Analytics tools tell you about throughput. Holding both means the review data becomes the measurement data, so questions like where changes stall or which areas of the codebase generate the most rework can be answered from the same source rather than assembled from a survey and a hunch.
The pricing reflects the same thinking. Plans are quoted per user but bounded by review volume rather than seats alone: roughly 50 deep pull request reviews per user per month at the entry tier, 100 at the next, and up to 350 higher up, at $29 and $49 per user per month billed annually. The pricing page works the arithmetic through in team terms, showing ten engineers landing around $290 a month, which is unusually direct for a category that often obscures what a team will actually pay. That structure suits teams whose review load is predictable, and it prices honestly against teams who would otherwise buy seats they do not use.
Connect your repositories and Optibot reviews pull requests as they open, described as deep reviews rather than a surface pass, with the monthly allowance counted per user. Because review volume rather than seat count is the metered resource, a team of ten with modest review traffic is not paying the same as a team of ten shipping constantly. Alongside review, engineering analytics accumulate from the same activity: pull requests shipped per engineer, where changes slow down, and which parts of the codebase generate repeated fixes. That reporting is the part that distinguishes it, since it turns the review pass into a source of measurement instead of a cost centre. Annual billing is where the quoted per-user prices apply, and the tiers step up by review allowance rather than by unlocking features.
- •Deep Pull Request Review - Positioned as thorough analysis rather than a surface pass
- •Engineering Analytics - Throughput and bottleneck reporting derived from the same review activity
- •Volume-based Tiers - 50, 100 and up to 350 deep reviews per user per month
- •Transparent Team Maths - Pricing page works through what a ten-engineer team pays
- •Per-user Annual Pricing - $29 and $49 per user per month billed annually
- •Review as Measurement - The review pass produces the data rather than requiring separate instrumentation
Engineering leads who need to argue about delivery with data rather than impressions, and who would rather not buy a separate analytics product to get it. If you have ever been asked why shipping slowed down and had only anecdotes to offer, the combination is the point. It suits teams with fairly predictable review volume, since the tiers are bounded by reviews rather than being unlimited. Teams that only want review and have no interest in measurement will find cheaper single-purpose options, and teams with very spiky review load should check the allowance carefully against a busy month rather than an average one.
Pricing
$35 - $60/mo
- Optibot$35/mo
- Optibot Pro$60/mo
- Contact SalesContact sales
From the vendor pricing page, 2026-09-22
