Karavela provides a high‑throughput 7 T MRI platform that captures whole‑brain data at sub‑second resolution and stores it in a cloud‑native repository compliant with BIDS and NIDM standards. The service offers an API and open‑source SDK for secure, de‑identified access to AI‑ready tensors, enabling pharmaceutical, biotech, and research teams to develop and validate brain biomarkers and decoding models.
Funding
Funding not disclosed
Founders
Product
Problem
Current neuroimaging research suffers from fragmented, low‑volume datasets that lack the temporal and spatial fidelity required for training robust AI models. This scarcity hampers the ability of pharmaceutical sponsors and academic labs to incorporate brain‑derived biomarkers into clinical trial pipelines or to develop reliable brain‑decoding algorithms. Consequently, translational neuroscience projects face longer timelines and higher failure risk.
Solution
Karavela deploys a next‑generation magnetic resonance imaging (MRI) platform optimized for high‑frequency, whole‑brain acquisition, enabling the systematic capture of neural dynamics at unprecedented scale. By enrolling healthy volunteers in a longitudinal study, the company aggregates a curated, multimodal dataset that includes raw k‑space data, pre‑processed time‑series, and metadata aligned to standardized ontologies. The data are ingested into a secure, cloud‑native repository where automated pipelines perform artifact correction, de‑identification, and format harmonization. Researchers can access the repository via a RESTful API that delivers AI‑ready tensors and accompanying annotations, facilitating rapid model development for clinical trial enrichment and brain‑decoding research. Karavela also provides a suite of open‑source tools for quality control, feature extraction, and model benchmarking, lowering the barrier to entry for computational neuroscience teams.
Target Audience
Primary customers are pharmaceutical and biotech firms conducting neurology or psychiatry clinical trials that require high‑resolution brain biomarkers, as well as academic and industry AI research groups developing brain‑decoding or neuroinformatics models. The platform also serves large neuroscience consortia seeking a shared, standardized repository of dynamic MRI data.
Features
- High‑throughput 7 T MRI scanner with sub‑second echo‑planar imaging sequences for fine‑grained temporal resolution
- Standardized acquisition protocol and metadata schema compliant with BIDS and Neuroimaging Data Model (NIDM) standards
- Automated cloud pipeline that performs motion correction, bias field removal, and physiological noise regression at scale
- End‑to‑end data anonymization pipeline meeting GDPR and HIPAA de‑identification requirements
- Scalable object storage with versioned datasets and granular access controls, exposed via a documented REST/GraphQL API
- Open‑source Python SDK for data retrieval, preprocessing, and integration with PyTorch/TensorFlow training workflows
- Longitudinal cohort design with repeat scans, enabling within‑subject variability analysis and biomarker validation
- Continuous monitoring dashboard for data quality metrics, acquisition uptime, and participant compliance