Capture activity across XR, digital twins, and real-world spaces. Capture scenes, sessions, objects, goals, feedback, and performance data. Replay sessions to validate task outcomes.
Capture reliable XR and robotics evidence sooner, with lightweight integration. Use pre-built SDKs for Unity, Unreal, ROS 2, AndroidXR, visionOS, WebXR, and more. Docs, guides, samples, and friendly support make setup fast and reliable.
Validate behaviour and task outcomes within each recorded environment. Preserve virtual scenes and models of real-world spaces for replay and review. Give replays and session reviews the spatial context needed for confident decisions.
Know what happened and which moments need review. Capture movement, interactions, task progress, and timing from start to finish. Use complete session data for accurate 3D playback and comparison across sessions.
Gather user feedback while the experience is fresh. Ask questions directly inside XR using multiple choice, scale, or voice responses. Use templates or custom questions to collect and review feedback instantly without writing code.
Verify whether key spatial objects are noticed and used as intended. Track how people and robots interact with objects during sessions. Store object shape, position, texture, and appearance to visualize engagement clearly in 3D.
See where XR and robotics tasks succeed, stall, or require intervention. Define goals, events, steps, and success conditions. Layer gaze, input, interaction, and timing data to evaluate task performance end to end.
Know whether app performance affected the XR experience. Capture real-time performance data and automatically tag crashes even if the app quits. Track framerate, CPU/GPU load, memory, battery drain, and more across sessions.
“If you're developing for Meta Quest and not using spatial analytics like Cognitive3D, it's borderline negligent. You're driving without instruments or mirrors. 2D analytics don't cut it.”
Start capturing activity across XR, digital twins, and real-world spaces in full 3D.
Understand movement and input across XR and physical AI. Record motion, inputs, gaze, interventions, device metadata, and supported sensor data to review behaviour in context.
Start measuring XR and robotics with supported hardware your team already uses. Support leading headsets from Meta, Pico, HTC, Samsung, Apple, Varjo, XREAL, and more. Tracking works across XR platforms without drivers or configuration.
Track how people and robots move and act in space. Capture hand tracking, controller inputs, and robot motion to record movement, actions, and timing in real time. Connect each action to session events, task progress, replay, and testing.
Review sessions from human or robot viewpoints. Capture headset viewpoints and available robot sensor views. Replay recorded viewpoints in 3D to review what was visible.
See whether users focus where the task requires. Capture eye movement and fixation using supported headsets, including during teleoperation. Use visual attention data to review focus and gaze beyond just head position.
Know the device conditions behind each recorded session. Automatically capture available device metadata: model, OS, WiFi strength, thermal status, tracked physical space, participant ID, and more. Use this context during session review to explain performance differences and behaviour.
Review physical responses during recorded sessions. Sync available HR, GSR, ECG/EKG, EEG, microphone, and robot sensor inputs with in-session events. Align recorded signals with session events.
Good insights start with good data. That’s why we built our system to capture gaze, motion, and perspective directly from the device—so teams get clean, reliable input from the start.
Start recording motion, inputs, and supported sensor data across XR and physical AI.
Organize and evaluate how individual users or robots behave and perform by accessing spatial data, replaying sessions, or connecting records to AI systems.
Learn MoreSee how performance varies at scale. Monitor trends, compare session behaviour, and prepare aggregate spatial data for dashboards, reporting, and AI analysis.
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