About
Archinisis delivers professional-grade alpine skiing performance analysis by fusing data from its proprietary Naos wearable sensor (worn discreetly under a race suit) with multi-constellation GNSS positioning, video feeds, and external timing systems. The platform reconstructs 3D position, speed, and orientation at 200 Hz and translates raw sensor data into actionable ski-specific metrics: line length, speed profile, time loss per section, and turn-by-turn speed gains and losses. Key capabilities include automatic run detection with no manual marking required, section and split analysis compatible with Microgate and Lympik timing systems, and interactive video overlays that synchronize footage with sensor data in seconds. Coaches can use the side-by-side video player to compare two runs with synchronous playback aligned to skier position, and the run comparison tool highlights exactly where time is lost or gained across multiple attempts. The workflow is designed to fit seamlessly into training days: sensors stream live data to the coach's device for real-time splits and speed information between runs, enabling immediate technique adjustments on snow. After the session, detailed analysis, video review, and exportable reports are available on any web-connected device. Archinisis is purpose-built for high-performance environments — national teams, regional squads, and elite performance centers — making it a comprehensive tool for coaches and sports scientists who need objective, data-driven insights to accelerate athlete development in alpine ski racing.
Key Features
- Multi-Sensor Data Fusion: Combines inertial sensor and multi-constellation GNSS (GPS, Galileo, BeiDou, QZSS) to reconstruct 3D position, speed, and orientation at 200 Hz for precise kinematics.
- Automatic Run & Section Detection: Smart segmentation automatically identifies all runs and sections without manual marking or additional reference equipment.
- Synchronized Video Overlays: Automatically syncs video footage with sensor data — including speed changes, trajectory, and split times — in seconds, enabling interactive technique review.
- Real-Time Live Data Streaming: Streams live split times and speed profiles to the coach's device between runs, enabling immediate on-snow feedback and technique adjustments.
- Side-by-Side Run Comparisons: Compare two or more runs simultaneously with synchronous video playback and overlaid speed/trajectory data to pinpoint where time is lost or gained.
Use Cases
- A national alpine ski team uses Archinisis to analyze each athlete's speed profile and line trajectory per course section, identifying where tenths of a second are lost and adjusting technique between training runs.
- A regional ski academy coach reviews synchronized video overlays after each session to show athletes exactly how their body position affects speed loss in specific turns, accelerating feedback-driven learning.
- A sports scientist at a performance center uses run comparison tools to study how equipment changes (e.g., different ski setups) affect the center-of-mass kinematics and overall section times across multiple athletes.
- A biathlon or cross-country skiing program integrates the Naos sensor to analyze stride efficiency and speed profiles on varying terrain, exporting reports for individualized training prescriptions.
- A ski racing coach streams live split and speed data to a tablet at the finish area, enabling real-time discussions with athletes between runs during a giant slalom training block.
Pros
- Non-Intrusive Wearable Sensor: The Naos sensor is worn discreetly under the race suit, allowing athletes to train and race normally without altering their movement or equipment setup.
- Instant Actionable Feedback: Live streaming and rapid post-run analysis give coaches and athletes objective data within seconds of finishing a run, enabling same-session adjustments.
- Comprehensive Timing Integration: Native support for Microgate and Lympik timing systems allows split times to be overlaid directly onto video and sensor data for complete race analysis.
- Works Across Multiple Sports: Beyond alpine skiing, the platform supports biathlon, cross-country skiing, rowing, ski-cross, snowboard-cross, and track & field.
Cons
- Hardware Dependency: Requires purchasing or renting proprietary Naos sensor hardware, which adds upfront cost and logistical complexity compared to purely software-based solutions.
- Competition Rule Restrictions: Use during official races may be prohibited depending on competition regulations, limiting data collection to training scenarios in some contexts.
- Niche, Premium Pricing: Targeted at national teams and elite programs, the platform and hardware costs are likely prohibitive for recreational athletes or smaller clubs.
Frequently Asked Questions
What hardware is required to use Archinisis?
Archinisis requires the Naos sensor (available in Classic and Flow variants), which is worn on the upper back in a dedicated vest or discreetly under a race suit. The sensor collects inertial and GNSS data that is streamed or uploaded to the Archinisis platform.
Can Archinisis be used during official races?
Use during competition depends on the rules of the governing body for that event. Archinisis advises users to check competition regulations before using sensors in a race setting. It is fully supported for training use.
How does the video synchronization work?
The platform automatically aligns video footage with sensor data — including speed, speed loss/gain events, and trajectory — without manual syncing. Videos can be reviewed interactively alongside the connected speed loss plot.
Which timing systems are compatible with Archinisis?
Archinisis currently supports import and overlay of split times from Microgate and Lympik timing systems, which are common in professional alpine ski racing environments.
Is Archinisis suitable for youth or club-level programs?
Archinisis is primarily designed for national teams, regional squads, and performance centers. While technically usable at any level, the hardware investment and feature depth are most cost-effective for high-performance training environments.
