Startup
Up to 15 engineersAI code review for smaller teams.
$750/ month
Includes
- Self-healing code review
- 300 reviews / month ($1 per review after)
Pricing
Plans are based on team size and monthly review volume.
AI code review for smaller teams.
$750/ month
Includes
More review capacity as the team grows.
$2,500/ month
Includes
For larger teams and advanced requirements.
Custompricing
Includes
Choose where to start
Each product tackles a different part of quality, cost, and delivery. Start with the workflow you need now, establish a baseline, and expand from there.
01routeNew
Route eligible coding-agent requests by quality and cost, keeping stronger models available for harder work instead of paying frontier-model prices on every turn.
Connects to
02review
Catch production-impacting issues with repository-wide context and prioritized first-pass review, then measure whether the feedback is actually addressed.
Connects to
03measure
See where coding-agent spend goes, how workflows behave, and what that activity produces across projects, repositories, and outcome categories.
Connects to
04ask
Ask engineering questions across connected code, pull requests, incidents, delivery, and agent activity, then continue into permitted actions where supported.
Connects to
Not sure which product to start with? If more than one looks relevant, we can help you pick the smallest useful starting point for your team.
Talk to salesCustomer outcomes
45+ hours
saved every month
Engineering review time returned to the team.
99%
review success
Reviews completed in ~4 minutes on average.
37 rules
learned from past fixes
Docket's own engineering lessons carried into future reviews.
Also in production
Comparing against something else
Before you buy
Everything below is available for review before a contract, and confirmed in the order form.
COMPLIANCE
Request the current report, scope, and bridge letter.
ACCESS
Review roles, repository access, and connected destinations.
DEPLOYMENT
Review architecture, storage, and deployment commitments for your setup.
confirm the data boundary before rollout
ANALYTICS
Signals are diagnostic, not a score for individuals.
If yours isn’t here, ask a founder. We read everything.
Commercial terms can vary by plan, billed seats, usage, product access, and deployment. The values in your current workspace and signed order form are the source of truth.
Yes. Start with one measurable workflow, a small set of repositories or users, and a baseline you can compare against. Expand after you verify the result and operational fit.
Depending on your workspace, Billing can include subscription state, billed seats, LLM usage and overage, invoices, and Model Router credits or balance where routing is enabled.
No. Product access and rollout can vary by plan, connectors, deployment, role, repository, and rollout state. Start with the workflow you need now.
Agent Insights is included in Enterprise. It is not included in Startup or Scale.
Choose the problem with the clearest baseline: review quality, AI spend, delivery friction, or recurring production risk. A good pilot should give you something concrete to compare before and after.
Yes. Review the product's visible controls, then request the current security and contractual documents for deployment boundaries, retention, model-provider terms, compliance scope, and other commitments.
Agent Insights is designed for workflow and cost diagnosis, not standalone employee scoring. Its metrics should be interpreted with repository, task, coverage, and team context, not used alone as individual performance measures.
We will review the workflow you are trying to improve, the systems it depends on, any security or deployment requirements, and the smallest pilot that can give your team a useful answer.
Pick one measurable workflow, run a small pilot, and compare against your own baseline.