BitRoc AI builds foundational infrastructure for AI-driven pathology, enabling secure, efficient, and compliant computation across hospitals, pharma, and research.
Our flagship platform, BitFlow, orchestrates the entire AI pathology lifecycle — from data preparation to federated model training and deployment — while preserving privacy and regulatory alignment.
| Module | Description |
|---|---|
| BitPath | Tools for pathology slide annotation, format conversion, WSI viewing, and AI-assisted labeling. |
| BitEdge | Edge-side compute nodes deployed within hospitals/labs. Enables federated learning without data leaving the institution. |
| BitFlow | Central orchestration for workflow scheduling, model deployment, artifact storage, and audit logging. |
- Data stays local: All computation occurs on-site via BitEdge.
- End-to-end encryption: TLS 1.3 for transmission, AES-256 for storage.
- Federated learning: Supports differential privacy and secure aggregation.
- Regulatory alignment: Compliant with HIPAA, GDPR, and international standards.
- Select dataset from partner hospitals
- Configure training task and model parameters
- Launch federated workflow via BitFlow
- Retrieve results with full traceability and audit logs
| Repo | Description |
|---|---|
annota |
High-performance React-based annotation framework for WSI and cell segmentation. |
kfbviewer |
Lightweight viewer for .kfb pathology slides using OpenSeadragon. |
More coming soon…
We welcome contributions in:
- Annotation UX and tooling
- Federated learning infrastructure
- Privacy-preserving AI workflows
- Robotics and simulation integration
Open issues, submit PRs, or reach out via Discussions.
For partnerships or collaboration:
- GitHub Discussions
- Email: hi@bitroc.ai