Profile-driven recommendations
Course suggestions rooted in the employee's measured cognitive strengths and tenure-relative gaps.
A token-funded course marketplace, recommendations rooted in cognitive strengths, and development that is visible alongside performance trends rather than running on its own track.
L&D rooted in self-report often becomes a popularity contest among course providers. Anchoring recommendations to a measured cognitive profile makes the path through the marketplace more defensible — and easier to evaluate after the fact, because completion ties back to the same trend signal.
Employees earn tokens through daily training sessions. Tokens redeem for courses, growth tracks, or peer help on the in-platform task marketplace. The economy is configurable per customer — L&D can cap, top up, or steer it toward specific learning tracks at any time.
We're careful about claims here. We can show course completion, time-to-completion, and where tokens are being redeemed. We do not claim that a specific course produced a specific change in performance — but we can let L&D see the two side by side, and you can draw your own conclusions over time.
Course suggestions rooted in the employee's measured cognitive strengths and tenure-relative gaps.
Daily training sessions earn tokens. Tokens fund courses and peer help — configurable per customer.
Colleagues answer one another's questions and earn tokens. Tribal knowledge becomes a learning surface.
Course completion and uptake live in the same dashboards as cognitive performance — easier to evaluate together.
L&D can build branded growth tracks that bundle courses, workshops, and peer mentoring.
Individual course uptake is private to the employee; managers see aggregates only.