The startup develops artificial intelligence-based image processing technology for behavior analysis in animal models, automating the testing process for both clinical and non-clinical applications. This platform enables researchers to efficiently observe and evaluate the stability and efficacy of experimental animals during behavioral assessments.
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.
HVFounders
Product
Problem
Behavioral analysis in animal models is a critical component of preclinical research, but traditional methods are often manual, time-consuming, and prone to subjective bias. This creates a bottleneck in drug discovery and basic research, limiting the throughput and reproducibility of experiments.
Solution
Actnova provides an AI-powered platform, Actverse, that automates the analysis of animal behavior from video recordings. The platform uses computer vision and machine learning algorithms to detect body points, track movements, and classify behaviors in real time. Researchers can upload video files, and the system automatically quantifies relevant parameters, identifies behavioral patterns, and generates dynamic visualizations. This enables scientists to efficiently analyze large datasets, discover subtle behavioral changes, and improve the accuracy and consistency of their research.
Target Audience
The primary target audience includes researchers in pharmaceutical companies, CROs, and academic institutions who conduct preclinical behavioral studies in animal models.
Features
- Automated body-point detection and tracking in video
- Real-time parameter extraction and behavioral classification
- Unsupervised clustering to identify novel behaviors
- Dynamic chart visualizations of behavioral data
- Flexible application to various behavioral apparatuses
- AI & ML analysis for discovering new behaviors
- Support for user-uploaded video files