Runway
Running client projects across a board, a timer and a spreadsheet meant hours went unlogged and project health was only visible to whoever kept the sheet.
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Work
Cases grouped by Yvios team and by how strong the evidence is — not by technology slogan.
Team
Evidence
9 cases
Assess4Me
Hiring teams needed structured, comparable candidate evaluation beyond interviews alone.
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CRIPI
A European research network needed one place to share knowledge across countries.
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The booking house demo on the Systems page models the same logic — availability checks, holds and operator trace. We do not publish a client interface screenshot.
No interface screenshot on file
Interactive reservation system for a hospitality operator
Reservations kept arriving by email and phone. Staff copied them into spreadsheets, checked availability by hand, and callers did not always get a clear answer.
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Written case notes. No field photograph of a client clinic is in the record; stock VR imagery is not used as proof.
No interface screenshot on file
AR/VR studies for care environments
Clinical teams wanted spatial visualisation and hands-free guidance without disrupting the room they already work in.
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Written POC notes. No client-site photograph is in the record; generic drone stock is not used as proof.
No interface screenshot on file
Industrial site drone monitoring POC
Operators needed better awareness of large or hard-to-access industrial sites.
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Method and coverage notes in the case record. No product interface photograph.
No interface screenshot on file
Test amplifier for smart contracts
Smart-contract teams needed broader coverage without writing every case by hand.
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Written study notes. No operational deployment photograph is in the record.
No interface screenshot on file
Agent-based robotics study
How should multiple agents decide and move when the environment keeps changing?
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Project notes only. The generic analytics tablet photo on file is not used as proof.
No interface screenshot on file
Store recommendation comparison dashboard
A store could not tell which recommendation option earned more from the data they already had.
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