Deel

AI has read the whole internet. But it’s never run payroll or a business. We’re changing that. Today, we’re launching Emet, our AI lab for model evaluation and training, and Pangaea, our first family of models for global work. On real payroll tasks, the best AI model fully solves only 49%. On global work questions, like notice periods or who can legally start a job, it gets 75% of the facts right. Close enough to look right. Wrong enough to break a paycheck or a contract. At Emet, in-country experts define what getting it right looks like. We turn that into EmBench, our public benchmarks, and into training data. Every model is scored against them, ours included. We’re starting with payroll and global work, with payment reconciliation and sales next. Pangaea is the first proof. Built on open-weight models and trained with Emet, it gets close to top-model accuracy, up to 3x faster, at a fraction of the cost. Deel and the payroll teams that joined us bring decades of experience running payroll, HR, and compliance, now serving 40,000+ companies in 150+ countries. Knowledge the internet doesn’t have. Emet puts it to work for every AI model, not just ours.

Vendor data. Tax details. Invoice fields. GL coding. Let Akai check them before Finance does.

Hiring creates more than hires. Contracts, benefits, immigration, onboarding, changes, offboarding. Akai handles the workflows.

GL data. Expenses. POs. Four levels of grouping. Akai turns it into a review-ready report.

Show Akai how you build the report once. It pulls, groups, checks and prepares it for review.

Stop pulling data from three systems just to build one report. Let Akai run the workflow.