Why we built Finderk
Finderk is a job simulation. People step into a lifelike workday with AI teammates and do the real work. Companies use it to hire and train. People use it to practice for the role they want.
The problem
Hiring and training are broken in the same way. Hiring mostly tests how well someone talks about work, and résumés and interviews are weak signals. Training mostly happens away from the job, as slides and quizzes people forget in a week. Both miss the one thing that really shows skill: watching someone actually do the work.
The best way to know if someone can do a job is a work sample: having them do a realistic slice of the real job. The catch is that real work samples have always been expensive to build and hard to run fairly at scale. So almost no one uses them.
What we built
Finderk makes that easy. A person steps into a lifelike company with the real tools of the job: chat, a task board, docs, email, and code. AI teammates play coworkers and customers who message them, push back, and react in real time. When the session ends, Finderk scores it and gives back a simple replay showing exactly what happened.
Two things make it different. You build a simulation just by describing it. And the same simulation works for both jobs: training teams use it to teach people on real work, and hiring teams use it to screen candidates.
Who it's for
- Hiring teams who want to watch candidates do the job, not just talk about it.
- Training teams who want practice that sticks because it's real work, not slideware.
- Individuals who want to practice for the role they want and walk away with a score they can share.
The team
Finderk is built by its two co-founders, Eje David and Adoyi Daniel.
Questions, pilots, or partnerships? Talk to us.
See it for yourself
Explore the live demo, or request access for your team.