Dannce provides an AI-powered digital phenotyping platform utilizing advanced motion analysis for neurological assessment. This technology offers objective behavioral quantification to characterize treatment response in neurological conditions. The platform supports clinicians in decision-making and accelerates neurological drug development for pharma and biotech partners.
Funding
$2.6M 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
Current methods for assessing neurological conditions often rely on subjective observations and manual measurements, lacking the sensitivity to detect subtle changes in patient movement and behavior. Traditional clinical trials may miss early indicators of drug efficacy, leading to inefficient development processes and delayed access to effective treatments.
Solution
DANNCE.ai offers an AI-powered platform that quantifies patient movement from video input to provide objective insights into neurological conditions. The platform employs proprietary 3D pose-tracking and behavioral analysis algorithms to detect subtle changes in motor function that may be missed by conventional methods. By transforming video data into quantifiable metrics, DANNCE.ai enables clinicians to improve decision-making and allows pharmaceutical companies to accelerate drug development. The technology offers a more sensitive and objective measure of neurological state, which can lead to increased probability of detecting efficacy signals and improved portfolio prioritization.
Target Audience
The primary users are clinicians seeking objective behavioral insights to improve clinical decision-making, and pharmaceutical and biotech companies aiming to enhance neurological drug development.
Features
- AI-driven motion analysis for objective measurement of neurological conditions
- Proprietary 3D pose-tracking algorithms to quantify patient movement from video
- Behavioral analysis algorithms to detect subtle changes in motor function
- Automated, AI-powered tools to scale patient assessments
- Digital phenotyping platform to characterize treatment response