Right now, there’s a war going on inside your company, and most of the leaders don’t even know it. It is not about budgets, staffing, or which team gets the corner office. It’s about something much more valuable that can’t be seen: the information about each member of staff. More and more, what they do with their AI tools on a Tuesday afternoon, who they work for, how much they get paid, how well they do their job, and when they leave. Both Rippling and Visier want to be the system that collects and makes sense of it all. The stakes have quietly risen to billions of dollars.
Parker Conrad, who runs Rippling, has never been afraid to go after big goals. The business began as an HR platform for things like payroll, benefits, and onboarding. It has since grown to include IT management, finance, and now something much bigger. Late in June 2026, Rippling released its Data Cloud product. It is a suite that can gather operational data from across a business, link it to worker identities, and make it possible for anyone, from a vice president to a floor manager, to ask questions that used to need a data science team.
We saw Conrad show it off from his office in San Francisco. He used dashboards to show how the number of support tickets matched up with the schedules of employees and to see which engineers were wasting AI tokens on useless tasks. Already, about 560 businesses are using it, and it brings in between $5 and $7 million a month in new sales.
Rippling’s pitch is interesting and a little scary because it says that regular business intelligence tools can’t do this well. Tools like Fivetran, Snowflake, dbt Labs, and Tableau are being put together by companies right now to move, store, clean, and show data. That’s what Conrad says: putting all of that into one system that already knows your org chart and permission structures leads to better answers. It’s a strong claim, and some analysts think the idea has more weight than some current people would like to admit.
Visier is working toward the same goal, but in a different way. Visier has spent years making people analytics a stand-alone field, while Rippling grows from payroll and HR operations. Fortune 500 HR directors know the name of this kind of company, even if it doesn’t get as much attention from the tech press. Visier has always been good at using data models that have been improved over a decade to help big companies understand workforce trends like attrition risk, pay equity, and headcount planning. Visier may have an advantage over companies with complex, global workforces because it has a lot of experience with analytics. However, Rippling’s integrated approach, in which each new module feeds into the same data graph, makes it harder for other companies to copy.
The conflict between these two approaches is like a common pattern in business software. You can either buy the best specialized tool and wire it together yourself, or you can choose a platform that does everything for you. That was a point Microsoft won many years ago with Office. A lot of sales teams won with Salesforce. No one has really won the race for people data yet.
The prize has grown a lot because of AI. A system that knows your employees’ names, salaries, performance paths, spending habits, and how the team works together over time is the basis for automating decisions that used to be made by hand or in spreadsheets. Conrad gave examples of times when Rippling caught workers spending $30,000 a year on AI assistants that didn’t seem to be giving them much help. Two years ago, there wasn’t that much visibility.
It’s still not clear if one platform will be the market leader or if the market will be split up by company size and complexity. But it’s clear which way to go. People data isn’t just an afterthought in the back office anymore. It’s becoming very important to how businesses work, so the race to own it is definitely something to keep an eye on.
