Overview

Rize is an automatic time tracker for macOS and Windows. It runs in the background, records which apps and websites you use, and uses AI to categorise and tag that time to clients and projects. It is aimed at individuals as well as agencies, accounting firms, law firms and other professional services teams, and it works without timers or timesheets.

The problem it addresses

Rize argues that manual timesheets are often late, copied or reconstructed from memory, that timers depend on people remembering to start them, and that screenshot-based tools damage trust. As a result, retainers and fixed fees can be used up without anyone noticing. Its answer is fully automatic tracking that the company describes as private rather than surveillance.

Features for teams

For agencies, Rize shows monthly burn by client and project, alerts on over-servicing before a retainer is used up, compares hours with retainer and fixed-fee budgets, and offers department reports and ClickUp client import. Accounting firms can compare actual hours with budget per engagement and see client margins. The company cites 350,000 professionals, a 4.7 out of 5 rating on G2 and setup in under five minutes.

Personal features

Individual plans include automatic app and website tracking, AI categorisation, an AI chat, productivity and focus insights, focus music and smart break reminders, and personal reports and exports.

Pricing

Individual plans, billed annually, are Basic at $9.99 a month with 500 AI credits, Pro at $23.99 with 1,000 credits plus client reports, an AI efficiency dashboard, automations, MCP server access, API, webhooks and Zapier, and Max at $39.99 with 3,000 credits. Team plans start at $29.99 per seat. A free trial needs no credit card.

Who it suits

It suits freelancers who bill by the hour and firms that sell retainers or fixed fees and want accurate data on where hours go.

Things to consider

Automatic tracking of staff activity raises privacy and employment-law questions in many countries, so be transparent with your team about what is recorded and who can see it. AI tagging will not be perfect at first; review categorisations during the trial. Check the data retention and security details before rolling it out across a firm.