Prove what happened inside your XR app. Capture scenes, sessions, objects, goals, feedback, and performance data to replay, validate, and improve the experience.
Capture reliable XR evidence sooner, without risking app performance. Use pre-built SDKs for Unity, Unreal, AndroidXR, visionOS, WebXR, and more. Docs, guides, samples, and friendly support make setup fast and reliable.
Validate behaviour and design decisions against the environment users actually experienced. Capture geometry, textures, lighting, and layout as a detailed 3D scene. Give replays and session reviews the spatial context needed for confident decisions.
Know what happened and which moments need review. Capture how users move, explore, interact, and spend time 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 XR objects are noticed and used as intended. Track how users touch, grab, move, and look at objects during sessions. Store object shape, position, texture, and appearance to visualize engagement clearly in 3D.
See where XR tasks succeed, stall, or drop off. 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. Monitor app performance across sessions — framerate, CPU / GPU load, memory, battery drain, and more.
“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 real user behaviour, app activity, and device inputs in full 3D.
Understand how users move, look, and respond through XR hardware. Cognitive3D captures headset, input, gaze, device, and sensor data so teams can review behaviour with reliable device context.
Start measuring XR with the 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.
Validate how users physically act and respond in XR. Capture hand tracking and controller inputs to preserve how users act, move, and respond in real time. Connect each action to session events, task progress, replay, and testing.
Validate XR sessions from the user’s actual point of view. Record headset position, rotation, and movement throughout the experience. Support accurate 3D replay and spatial review based on where users were and what they could see.
Validate whether users focus where expected in XR. Capture exact eye movement and fixation using supported eye-tracking headsets. Use visual attention data to review focus and gaze beyond just head position.
Know the device conditions behind every XR session. Automatically capture headset model, OS, WiFi strength, thermal status, play space, participant ID, and more, without extra setup. Use this context during session review to explain performance differences and user behaviour.
Reveal physical responses during XR sessions. Sync supported HR, GSR, ECG/EKG, EEG, microphone, and other sensor inputs. See biometric signals aligned with in-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 capturing real user behaviour, app activity, and device inputs in full 3D.
Organize and evaluate how individual users behave, decide, and perform by accessing XR data, replaying sessions, or connecting insights to AI systems.
Learn MoreSee how XR performs at scale. Monitor trends, compare session behaviour, and prepare aggregate XR data for dashboards, reporting, and AI analysis.
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