Sports Tech is Sever’s own direction, connecting measurement, control and coaching practice. Catalog equipment is manufactured by KiteLab; Sports Tech development is performed by Sever.
Capabilities
From sensor to coaching decision.
01IMU design
02Sensor fusion
03Inertial navigation
04Embedded electronics
05Control algorithms
06Synchronized data collection
07Athlete motion analytics
08Rugged field prototypes
Workflow
One clear loop.
1Instrument
2Collect
3Analyze
4Identify improvement
5Provide feedback
Flagship demos
Testing ideas on water, snow and ice.
Concept visualization / Концепт-визуализация
01Active prototype
Sailboat autopilot
A training and research platform for small sailing craft: IMU, GNSS and optional wind input, attitude and heading estimation, tiller actuator control, disturbance rejection and telemetry recording.
Demo: course trace, commanded versus measured heading, wind and disturbance events, and controller response.
A development and training platform. It is not competition equipment certified for ILCA/Laser or Finn events.
Concept visualization / Концепт-визуализация
02Active prototype
Wind-sport motion lab
Synchronized wearable and equipment-mounted IMU nodes for sailors, kiters and snowkiters. The system supports review of maneuver segments, body and equipment orientation, timing, stability, symmetry and repeatability.
Scenarios: sailing maneuvers, board control, transitions, jumps and landings, with coach-facing session replay.
The prototype demonstrates motion-analysis methods without claims of guaranteed accuracy or performance gains.
Concept visualization / Концепт-визуализация
03Demo concept · seeking pilot
Real-time training feedback
Edge processing compares live motion with an athlete-specific target envelope. Audio or haptic cues can support work on timing, posture, stability and maneuver consistency.
A configurable pilot for federations, teams and coaches — not a finished commercial product.
We first define the problem and test environment, then agree on sensors, feedback format and observation criteria.
Next experiments
A queue of hypotheses.
01Fleet-synchronized training analysis
02Start and maneuver timing
03Rig or control-load logging
04Board or foil attitude analysis
For federations and teams
A problem worth measuring?
Share the class, training problem and available data, and we’ll frame a pilot.