Stratica Biosciences provides an assay‑agnostic, cloud‑native service that transforms raw spatial transcriptomics and proteomics data into standardized, disease‑annotated cell‑type maps. The platform automates quality control, segmentation, multimodal integration, and statistical analysis at scale, delivering interactive visualizations and reproducible reports for academic, biotech, and pharma researchers.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers generating spatial multiomics datasets face fragmented analysis pipelines that are often assay‑specific, require extensive bioinformatics expertise, and lack integration of disease or tissue context, limiting the speed and biological relevance of downstream insights.
Solution
Stratica Biosciences offers an assay‑agnostic spatial multiomics service that ingests raw single‑cell spatial data from a wide range of platforms and delivers a unified, end‑to‑end analytical workflow. The platform automatically performs quality control, cell segmentation, multimodal integration, and statistical modeling at scale, handling datasets of any size without manual re‑engineering. By embedding disease annotations and tissue‑level metadata into the cell‑type characterization, Stratica generates biologically contextualized results that are ready for hypothesis testing or translational projects. All outputs are delivered through standardized reports and interactive visualizations, enabling researchers to move from raw data to actionable insight without building custom pipelines. The service is hosted on a secure cloud infrastructure, ensuring reproducibility, data privacy, and seamless collaboration across institutions.
Target Audience
The primary customers are academic research labs, biotech companies, and pharmaceutical R&D teams that generate spatial multiomics data and require turnkey, reproducible analytics with disease‑focused interpretation.
Features
- Assay‑agnostic ingestion engine supporting leading spatial transcriptomics and proteomics platforms (e.g., Visium, GeoMx, MERFISH) with automatic format conversion
- Scalable cloud‑native pipeline that parallelizes QC, normalization, and multimodal integration for datasets ranging from thousands to millions of cells
- Integrated disease and tissue ontology mapping that enriches cell‑type clusters with clinically relevant annotations
- Automated statistical modules for differential expression, spatial pattern detection, and cell‑cell interaction inference
- Interactive web‑based dashboards featuring heat‑maps, spatial plots, and drill‑down tables for rapid result exploration
- Export of results in standard formats (AnnData, CSV, JSON) and APIs for downstream analysis or EHR integration
- End‑to‑end data security with encryption at rest and in transit, compliant with HIPAA and GDPR regulations
- Version‑controlled workflow provenance to guarantee reproducibility and auditability of analytical steps