355
Audio & Video Production344
Automation & Workflow224
Software Development250
Marketing & Growth192
AI Infrastructure & MLOps173
Writing & Content Creation203
Data & Analytics140
Design & Creative169
Customer Support130
Photography & Imaging156
Sales & Outreach125
Voice & Speech135
Operations & Admin87
Education & Learning131
Payroll provider Remote says it passed $300M in recurring revenue and became cash-flow positive after using AI widely across the company.
In short: Payroll provider Remote says broad use of AI helped it earn 50% more revenue per employee without hiring more people.
Remote, a seven-year-old payroll company based in Amsterdam, said it recently surpassed $300 million in annual recurring revenue. Annual recurring revenue is the predictable subscription-style money a business expects to bring in each year. Remote also said it is now cash-flow positive, meaning it brings in more cash than it spends.
Remote’s CEO, Job van der Voort, told TechCrunch the company saw a 50% increase in revenue per employee after using AI tools across the business. He said this was not limited to engineers. Remote built an internal “marketplace” where staff can launch AI-powered apps to help with everyday work.
Examples mentioned include an AI helper in Slack that summarizes conversations. The company also said its engineers are using AI for writing software, and that more than 85% of its code was written by AI in the last month, according to the CEO. He said this reduced some hiring plans but did not lead to layoffs.
Remote is also pushing AI out to customers. It launched Remote MCP, which it describes as a standard way for AI agents (software that can take actions for you, like a helpful assistant) to securely interact with other tools. This could let services like BambooHR and Workday use Remote in the background for payroll and compliance data.
Many companies talk about AI saving time, but Remote is claiming a clear business result: more money per worker without adding staff. If this approach spreads, it could change how some office jobs are done, with more focus on training existing employees to use AI, instead of hiring more people.
Source: TechCrunch AI