Cofounder/CEO
Biodock
Biodock provides a cloud-based AI platform that enables scientists to train and deploy deep learning models for the analysis of biological images, automating up to 95% of the labeling process. This technology accelerates image analysis by running jobs in parallel on large clusters, achieving up to 3000x faster processing and delivering quantitative metrics for experimental comparisons.
- Artificial Intelligence
- Data & Analytics
- Biotechnology
- Software Only
Updated 16 days ago
Funding
Raised to date
$2.1MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Analyzing biological images is a time-consuming process, often requiring manual labeling and expert knowledge. Existing methods can be slow and lack the scalability needed for large datasets and high-throughput experiments.
Solution
Biodock offers a cloud-based AI platform that accelerates scientific discovery by automating the analysis of biological images. The platform enables scientists to train and deploy deep learning models without code, significantly reducing the time and effort required for image analysis. Biodock's AI-assisted labeling allows users to create models rapidly, while its distributed platform processes images in parallel on large clusters, achieving substantial acceleration. The platform delivers quantitative metrics and facilitates experimental comparisons through customizable plots and an interactive object viewer.
Target Audience
Biodock is designed for researchers and scientists in biology, drug discovery, and related fields who need to analyze large volumes of biological images quickly and accurately.
Features
- AI-assisted labeling with interactive tools for rapid model creation and iterative improvement
- Automated labeling using pre-trained models to automate up to 95% of the labeling process
- Distributed computing platform for parallel image processing, achieving up to 3000x acceleration
- Customizable metrics for area, intensity, colocalization, and other quantitative analyses
- Built-in comparison of experimental groups with custom plots and object-level metrics
- Interactive object viewer and editor for visualizing detected objects with overlays
- Integration with cloud storage providers like AWS S3, Google Drive, Dropbox, Box, and OneDrive
- Secure, enterprise-grade security with SOC2 Type II certification and encryption