Keito automatically captures work context from git activity, terminal and AI coding sessions, and project signals — turning the work your team does into billing records without manual timer starts and stops.
Billing review
Auto-captured this week
148h
Auto-detected
142h
Manual added
6h
Billable
91%
Git activity captured
Commits and PR reviews
Time entries reviewed
Developer billing approved
Client invoices ready
Billable work summarised
Manual time tracking fails developers. Automatic capture means nothing is missed before billing.
Record billable time by client, project, task, and person so the billing source of truth is created during delivery, not reconstructed at month end.
Approve entries, expenses, and budget movement in one place so managers can catch missing context before finance creates the invoice.
Use the same tracked data for invoices, client summaries, margin reviews, and internal capacity conversations.
Automatic billing capture
Developer teams consistently under-bill because manual time tracking requires a habit that conflicts with how technical work is done. A developer starts a coding session, gets deep into the problem, forgets to start the timer, and at the end of the day estimates hours from memory. Those estimates are conservative, miss context, and are never reviewed before they become invoice numbers. Keito's automatic time tracking captures work context from git commits, pull requests, IDE activity, and project signals as the work happens — so the billing record reflects actual time spent, not what a developer can reconstruct at 5pm.
Automatically capture time from git commits, PR reviews, and AI coding sessions without manual timer starts
Review auto-captured entries for accuracy and add missing context before billing review
Invoice clients from a billing record built from actual work activity, not end-of-day estimates
Workflow fit
Keito keeps automatic time tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Automatically capture time from git commits, PR reviews, and AI coding sessions without manual timer starts
Review auto-captured entries for accuracy and add missing context before billing review
Invoice clients from a billing record built from actual work activity, not end-of-day estimates
Keito keeps time, expenses, approvals, and client context together so the invoice is backed by the same record your team used to deliver the work.
Invite the people who capture, review, and explain client work without turning each new contractor or reviewer into another per-seat charge.
Spot budget drift, missed entries, and low-margin work before the month closes and the client conversation becomes harder.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
Time capture method
Captures work context from git activity via the GitHub Action and from terminal and AI coding sessions via the CLI and Agent Skill — no timer start required.
Manual time trackers require deliberate timer starts that developers consistently forget, leading to conservative estimates at billing time.
Billing accuracy
Auto-captured entries tied to real work artifacts (commits, PRs, issues) give billing managers concrete evidence to review rather than estimated totals.
Manual entries without work context are hard to review for accuracy, leaving billing managers with no way to catch under-billing or over-billing.
Developer experience
Keito captures time in the background so developers stay focused on delivery — the billing record builds itself from actual work output.
Timer-based tools require developers to context-switch from delivery to time management, and the tracking habit degrades under deadline pressure.
Automatic time tracking captures work time from signals your team already generates — git commits, pull requests, terminal sessions, code reviews — without requiring manual timer starts. The result is a billing record built from actual work activity that can be reviewed for accuracy before invoices are prepared.
Automatic time tracking is typically more accurate than manual entry for technical teams because it captures work as it happens rather than from memory at the end of the day. Keito captures time from git, CLI, and AI coding-session signals and allows developers to review and annotate auto-captured entries — combining automation accuracy with developer context.
Keito automatic capture is optimised for developers and technical teams — it works from git activity, code commits, and coding sessions logged through the CLI. For non-technical team members (project managers, account managers, strategists), manual time logging with strong workflow cues is typically the right approach. Many teams use both: automatic capture for developers, manual logging for the rest of the team.
Keito captures work signals at the project and repository level — commit activity, PR reviews, issue links — rather than keystrokes, screenshots, or activity monitoring. Developers can see everything captured in their timeline, edit entries for accuracy, and add context before the billing manager reviews.
Solo is built for one human owner and unlimited AI agents. Pro adds human teammates. Business adds integrations, exports, and online invoice payments.
One human owner
For independent consultants, freelancers, and small studios running work with AI agents.
Team collaboration
For teams that need shared workspaces, approvals, and team-level project visibility.
Advanced operations
For organizations that need integrations, exports, online payments, and stronger controls.
AI agents do not count as human seats on any plan.
Solo, Pro, and Business can use API keys for agent workflows.
Stripe payments, exports, Xero, and QuickBooks are on Business.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.