Next-gen people analytics
A team of data wranglers, techies, HRs, and storytellers here to support you in building a successful organization.
We’re on a mission to truly democratize HR analytics and break down the barriers that stand in the way of widespread adoption.
The three people analytics mass-adoption hurdles we are solving:
Make HR data engineering hassle-free
Navigating complex HR data systems, normalizing data, and analyzing a mix of quantitative and qualitative data is a huge undertaking. Data engineering resources are scarce and usually not available for people teams. We take most of this work off your hands through technology that connects, structures and surfaces insights from all of your HR systems and employee listening data.
Reduce the cost of people analytics
HR analytics infrastructure is still an expensive privilege available to a limited number of organizations due to expensive data engineering and manual labor required. By investing in data engineering automation, we help you drastically reduce the cost of setup and infrastructure through our tools that integrate your data, surface insights, and give you access to analytics-ready data.
Give HRs the knowhow to get from data to insights
Achieving mastery in turning HR data into insights takes a lot of time and effort, but we’re here to help. We do this through our platform which gives you easily understandable insights, a community where you can get support from people analytics peers, and certification programs where you can learn from experts from leading companies.
Used by data-driven HR and People Analytics teams At:
From ex-CHROs, through ex-Facebook and Toyota People Analytics experts, scientific advisors such as Dr. Ruth Wageman and Dr. Daniel Denison, external brain trust of top global people analytics practitioners, to angels such as Rony Kahan and Eric Ries, our team is beyond well equipped to help HR and leadership team make the right decisions based on data.
You want to go deep in our people analytics philosophy?
Take a look at our Tractatus → Warning: content for people data nerds.