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Brightlobe

Brightlobe provides AI-powered, game-based tools for early detection and assessment of neurodevelopmental conditions in children. Their platform collects objective behavioral data through engaging gameplay, offering clinicians quantitative insights for earlier and more accurate diagnoses. An API also enables game studios to integrate this health assessment technology into their existing game engines.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Current methods for diagnosing developmental conditions like autism and ADHD in children can be time-consuming and may not capture the full spectrum of a child's behavior. This can lead to delayed interventions, impacting developmental trajectories and increasing long-term healthcare costs.

Solution

Brightlobe develops AI-powered, game-based tools designed for early detection and assessment of neurodevelopmental conditions. Their platform leverages engaging gameplay to collect objective behavioral data, providing clinicians with quantitative insights into a child's cognitive and motor functions. This approach aims to facilitate earlier and more accurate diagnoses, enabling timely access to support services. Additionally, Brightlobe offers an API that allows game studios to integrate their health-focused technology into existing game engines, expanding the reach of digital therapeutics.

Target Audience

Primary customers include healthcare providers specializing in pediatrics and developmental disorders, as well as game development studios seeking to incorporate health assessment capabilities into their products.

Features

  • AI-driven analytical engine for processing game-based behavioral data.
  • Proprietary game mechanics designed to elicit specific cognitive and motor responses relevant to developmental assessments.
  • API for seamless integration with Unity and Unreal Engine, with planned support for Xcode and Android Studio.
  • Clinical trial data supporting the efficacy of game-based assessments for autism and ADHD detection.
  • Machine learning models trained to identify potential biomarkers for neurodevelopmental conditions.
  • Secure data handling protocols to ensure patient privacy and compliance.
This profile is AI-generated and may contain inaccuracies.