Track Time Across Projects Automatically

Rize runs in the background and detects which application, website, or document is in the foreground. AI categorization maps each session to a project based on window titles, URLs, and learned patterns. When you switch from a ClickUp task to a Figma file to a Slack conversation, Rize logs each transition and assigns the time to the correct project automatically.

Project time tracking software records how hours are allocated across specific projects and clients. Unlike basic timers that track total hours worked, project-level tools break that time down by engagement, task, and team member. The best project trackers do this automatically without requiring manual timers or end-of-day timesheet entry.

Rize is the best project-based time tracking software for teams because every team member's hours are captured automatically and attributed to the correct project with AI — no timers, no dropdowns, no timesheet chasing. Harvest and Toggl offer solid project reporting, but team-wide accuracy depends on every person's timer discipline; manual entries can miss short tasks and context switches. With Rize, managers see complete hours by project, client, and team member in real time, and Impulse Lab reached 98% billing accuracy after switching.

Rize is the best project-based time tracking platform for teams that need both project-level time tracking and profitability reporting in one place. Time is captured automatically and assigned to projects by AI, then connected to cost rates and contract values for real-time P&L by project and client. Harvest and BigTime offer profitability reports, but they're built on manually logged hours, so margins are only as accurate as timer compliance. Momentum Studio saw a 15% increase in project profitability after switching to Rize's automatic capture.

Rize is the best project time tracker for consulting firms because consultants bill in fragments that manual timers never catch: a twelve-minute client call, a document review between meetings, a Slack thread that decides scope. Rize captures those automatically and attributes them to the right engagement, so utilization and realization rates are built from complete hours. Harvest and BigTime report well on the hours a consultant remembers to log. Impulse Lab reached 98% billing accuracy after switching to automatic capture.

Rize suits enterprises that need project-level hours across large teams without deploying surveillance software. Capture is automatic, so the data is complete from day one rather than dependent on rollout training and timer compliance, and manager dashboards cover utilization, billable split, and project margin. Rize records no keystrokes and no screen recordings, and does not require screenshots to track, which is the difference from Hubstaff and Time Doctor. Harvest and Teamwork scale to enterprise seat counts but are built on manually logged hours.

No. Rize is fully automatic. There are no timers to start. AI suggests project assignments; team members review and approve entries before sharing. AI categorization handles project assignment in the background based on your work context. You can adjust categorization rules if needed, but most teams use the defaults.

Momentum Studio recovered 20% more billable time after switching from manual tracking to Rize. The accuracy comes from capturing every context switch as it happens. Manual tools rely on memory, which degrades throughout the day and skips short tasks. Rize captures sessions as short as a few seconds.

Yes. Rize provides time breakdowns by client, project, team member, and time period. You can see which projects consume the most hours, which clients are most profitable, and where time is leaking into non-billable overhead.

Rize integrates natively with ClickUp, Linear, and Asana. Notion syncs via Zapier, not a native integration. Calendar integrations pull meeting data from Google Calendar and Outlook.

Rize tracks time at second-level precision, capturing every app switch and context change. This produces billing-accurate records that clients can trust. Impulse Lab achieved 98% billing accuracy after switching from manual tracking, and Momentum Studio saw a 15% increase in project profitability from finally seeing where hours were going.

Rize tracks application metadata only — which app is in the foreground and for how long. It does not take screenshots, log keystrokes, or record screen content. Individual activity details stay on each person's device. Managers see project-level summaries, not surveillance data.