The problem was not the manager. It was everything they were given to work with. A resume. An interview squeezed between a full shift and a staff meeting. No real way to know who someone actually was until they were already on the floor, and by then, the cost of being wrong was already running. Gut feeling was all most managers had. It was never going to be enough.

The problem was visible in the United States long before it became a European conversation. High turnover, mismatched hires, managers making consequential decisions under pressure with nothing but instinct and a resume to guide them. Not because operators did not care. They cared deeply. But because every tool available was designed for HR departments, not for the people actually doing the hiring.

The general manager covering a Saturday shift. The food and beverage director with three open roles and a full house arriving Friday. The regional HR lead trying to maintain consistent standards across twelve properties in four countries.

The same pattern repeated itself across European markets, in the fjord-side resorts of Norway, the alpine retreats of Austria and Switzerland, the design hotels of Stockholm and Berlin. Different cultures, different languages, different guest expectations. The same hiring problem, unsolved.

Hotels. Car rental companies. Tech startups. Managers at every level making consequential decisions with inadequate tools. And on the other side, candidates crafting AI-optimized resumes just to be filtered out by an AI that never once asked who they actually were. Applied months ago. Still waiting. No response. Ever.

The system was broken for everyone in it. AI had finally reached the point where something genuinely better was possible. What became clear over nearly two decades of working inside hospitality operations, recruitment, and workforce technology was not just that the problem existed. It was that the solution required something no platform had attempted: hiring intelligence built around human behavior, not just human history.

We are building what managers everywhere wished existed a decade ago. AI role simulation paired with a manager-friendly workforce intelligence platform. Managers guided through every step so they can see how a candidate actually behaves and what they value before making the call.

Candidates with a streamlined experience built around their strengths, their values, and where they want to go next. No resume games. No black hole applications. No ghosting. Ever.

Folksnest was not founded to add another ATS to a crowded market. It was founded because the market had a gap that had been visible for decades, and the technology to close it had finally arrived.

Hospitality is the world's largest employer, and where we are starting. Not because it was the easiest place to begin, but because it is the most human, the most complex, and the most underserved. Get hiring right here and the model works anywhere people are hired under pressure, in service, at scale.

Behavioral science had the answer. AI finally had the capability to deliver it at scale. And the hospitality industry, a $48B workforce segment with 73.8% annual turnover and no dominant solution, was ready for something built specifically for it.

We are building for hotels first and for the world next, and we are looking for the partners, operators, and investors who want to shape it, scale it, and own a piece of what comes next.