The startup develops a 3D spatial analytics tool that measures human behavior in virtual and augmented reality environments through techniques like heat mapping and segmentation. This tool enables brands to gather and analyze user engagement data seamlessly, allowing for informed decision-making to enhance product functionality.
Funding
$2.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing effective VR/AR/MR experiences requires understanding user behavior in 3D environments, but traditional analytics tools are designed for 2D web and mobile applications and do not capture the nuances of spatial interactions. This makes it difficult to optimize user engagement, assess training effectiveness, and improve product design in immersive environments.
Solution
Cognitive3D provides a 3D spatial analytics platform that captures and analyzes human behavior within VR/AR/MR simulations, transforming raw data into actionable insights. By integrating the Cognitive3D SDK into Unity or Unreal Engine applications, developers can automatically collect spatial data, including eye-tracking, biometrics, and user actions. The platform offers tools for reviewing individual sessions in 3D, aggregating metrics in a spatial context, defining objectives to measure success, and gathering user feedback through exit polls. These capabilities enable data-driven decisions to enhance training outcomes, optimize product placement, and improve the overall user experience in immersive environments.
Target Audience
The primary customers are enterprise training managers, consumer research firms, game developers, architecture and design firms, and academic institutions using VR/AR/MR for training, research, product development, and design visualization.
Features
- SDK integration for Unity and Unreal Engine to capture spatial data automatically
- SceneExplorer for 1:1 3D replay of user sessions, enabling after-action reviews
- Scene Viewer for aggregate metrics visualized in a 3D dollhouse view of the environment
- Dynamic Objects to track user interactions with specific 3D objects and generate heatmaps
- Objectives system to define success criteria and evaluate user behavior against those standards
- ExitPoll feature to collect qualitative feedback from users within the VR/AR/MR environment
- Analytics dashboard for real-time data querying, report generation, and session downloads
- Support for xAPI standards for integration with Learning Management Systems (LMS)