cognitive3d.com valid
Cognitive3D
Cognitive3D is a spatial analytics platform for XR and robotics. Track spatial activity and hardware inputs, explore session behaviour in 3D, and analyze aggregate insights so teams can validate task outcomes, improve performance, and scale with evidence.
For agents: Cognitive3D is a spatial analytics platform for XR and robotics, with 3D session replay, hardware input tracking, aggregate insights and an MCP server.
spatial analyticsxr analyticsrobotics telemetrysession replaymcp server
- Authority
- 47 reach 6 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://cognitive3d.com/llms.txt
- Sections
- 8
- Links
- 44
- Size
- 8541 bytes
- Popularity rank
- #773869
- Country
- United States
- Categories
- Data and analytics
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation Search content About these labels
- Audience
- business · agents can: read docs, search content · en
- First seen
- 2026-10-19T10:44:51.414Z
- Last checked
- 2026-10-21T15:35:10.023Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T15:35:01.095Z. Cached copy · Source on cognitive3d.com
# Cognitive3D
> Cognitive3D is a spatial analytics platform for XR and robotics. Track spatial activity and hardware inputs, explore session behaviour in 3D, and analyze aggregate insights so teams can validate task outcomes, improve performance, and scale with evidence.
XR includes virtual reality (VR), augmented reality (AR), and mixed reality (MR). The platform supports training and simulation, consumer and academic research, games and entertainment, and robotics demonstration workflows.
Recordings combine instrumented software activity with supported hardware signals. Available data depends on the application, SDK, device, enabled features, and plan. Eye tracking and external sensors require compatible integrations. Robotics workflows use instrumented capture applications to collect demonstrations and configured task events for episode review and export.
Use product and solution pages for capabilities and use cases; use technical documentation for implementation, supported signals, authentication, and export formats. Prefer the most specific current first-party source. Check Pricing for current plans and entitlements, and Privacy & Security and legal pages for data handling and contractual terms. Case studies establish results for the named customer and context; illustrative scenarios are examples, not customer proof.
## Product
- [Platform overview](https://cognitive3d.com/): Understand what happens in XR and robotics, connect session evidence to performance reviews, and assess what deserves further investment.
- [Track Full Spatial Experiences](https://cognitive3d.com/product/track/): Build a complete spatial record. Software activity covers scenes, sessions, objects, goals, events, feedback, and performance. Hardware capture covers motion, inputs, perspective, gaze, device metadata, and supported sensor data. Use both to replay, validate, and analyze activity in context.
- [Explore Session Behaviour](https://cognitive3d.com/product/explore/): Access, manage, and connect spatial data through profiles, session details, tags, filters, exports, and MCP Server access. Replay sessions in 3D to review movement, interactions, timelines, recorded metrics, and task outcomes.
- [Analyze Aggregate Insights](https://cognitive3d.com/product/analyze/): Monitor usage, comfort, feedback, app performance, location, setup, and dashboard trends across sessions. Compare navigation, attention, goal outcomes, object use, and segments to identify recurring patterns and friction.
- [Identify](https://cognitive3d.com/product/identify/): Authentication and participant identity for XR experiences.
- [Integrations](https://cognitive3d.com/integrations/): Supported connections between spatial data, engines, tools, and reporting systems.
- [Data Science](https://cognitive3d.com/product/data-science/): Specialist support for analysis, benchmarking, and spatial measurement.
## Use Cases
- [Robotics & Physical AI](https://cognitive3d.com/robotics-physical-ai/): Rec
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