Drones · XR · robotics · hardware-connected proofs
Make the hard idea testable.
Pick the assumption that would hurt most if it were wrong. We build the smallest prototype that tests it, in weeks, and hand back the rig, the measurements and one straight recommendation: stop, refine or scale.
Live model / 2-link planar armNot a looping animation: the controller solves inverse kinematics for each waypoint, then forward kinematics to check where the tool actually landed. Every number on the right is computed from the pose you are looking at.
Controller readout
- Shoulder θ₁
- 14.4°
- Elbow θ₂
- 60.0°
- Tool X
- 380 mm
- Tool Y
- 330 mm
- Reach used
- 87%
- Phase
- Approach
- Payload
- Empty
Angles and coordinates are computed in the browser each frame, not recorded. Geometry is illustrative; a real cell adds joint limits, payload dynamics and safety zones.
The experiment layer
A safe place for risky ideas to become testable reality.
Yvios Labs works before the roadmap is obvious. We build the smallest convincing experiment across software, hardware and emerging interfaces—enough to expose the hard part, learn from real behaviour and make the next investment defensible.
Frame the unknown
We turn a broad ambition into one sharp uncertainty that an experiment can actually resolve.
Build the proof
We create a focused prototype with just enough fidelity to test the technical risk and the human response together.
Make the decision
We leave behind evidence, constraints and a practical recommendation: scale it, reshape it or stop before it becomes expensive.
Actual explorations from the current Yvios project
Three frontiers. Every claim carries its real status.
PROTOTYPE/POC
Industrial site drone monitoring POC
- Challenge
- Operators needed better awareness of large or hard-to-access industrial sites.
- Built
- A prototype that combined drone telemetry with an operator view for live video and alerts.
- Status
- Prototype/POC. Not a multi-site production deployment.
- Outcome
- Feasibility of combining flight telemetry with an operator interface was shown. Scaling and hardening were not done.
- Evidence
- Written POC notes. No client-site photograph is in the record; generic drone stock is not used as proof.
PROTOTYPE/POC
AR/VR studies for care environments
- Challenge
- Clinical teams wanted spatial visualisation and hands-free guidance without disrupting the room they already work in.
- Built
- AR/VR prototypes with spatial mapping and training scenarios, including dental-care explorations.
- Status
- Prototype/POC. Not deployed as a live clinical product.
- Outcome
- Validated that overlays can be designed around lighting, hygiene and existing tools. That is learning, not a production rollout.
- Evidence
- Written case notes. No field photograph of a client clinic is in the record; stock VR imagery is not used as proof.
RESEARCH
Agent-based robotics study
- Challenge
- How should multiple agents decide and move when the environment keeps changing?
- Built
- A research platform with cameras, sensors and collaborating agents for navigation trials.
- Status
- Research prototype. Not sold or operated as a client fleet.
- Outcome
- The build showed that multi-agent decisions can be tried on hardware. It does not prove a warehouse or site rollout.
- Evidence
- Written study notes. No operational deployment photograph is in the record.
After the test
Experiment. Validate. Operationalise.
- 01 / Experiment
Test the assumption that carries the risk
We bound one hypothesis, build the smallest rig that can break it, and record what actually happened — including the runs that failed. You get the prototype, the raw measurements and the write-up.
- 02 / Validate
Turn measurements into a defensible case
Intelligence takes what the prototype measured and builds the numbers you can put in front of a board, a regulator or an investor — with the method shown, not just the conclusion.
Yvios Intelligence → - 03 / Operationalise
Run it every day
Systems ships the proven idea into software a team relies on — workflows, roles, integrations — and hands over the source code with it.
Yvios Systems →