Before HR can predict who will leave, it has to agree on who works there. One Model built its business on that awkward little problem - and is now taking it into the age of enterprise AI.
The Finnish engineering intelligence company follows the queues, handoffs, and habits that slow software teams down. Now it is asking whether AI makes the whole operation faster - or merely produces more work for the queue.
She began with Visual Basic, built software for molecular spectra, and joined Jellyfish when the whole company could fit around one lunch table. Now Jasmine Oliveira asks a harder engineering question: how do you measure work without shrinking people to numbers?
Jellyfish is a Boston-based Engineering Management Platform that turns the signals from engineering tools - Git, Jira, CI/CD, and now AI coding assistants - into business-readable insight. It helps engineering leaders see where their teams spend time, tie that work to company strategy, automate R&D cost capitalization, and measure the real ROI of tools like GitHub Copilot. Founded by veterans of Endeca, Jellyfish has raised roughly $117M and serves hundreds of enterprises including Mastercard, Priceline, and PagerDuty.