Shorelinebio provides a cloud‑based platform that automates the ingestion, processing, and analysis of biological data from standard laboratory instruments. By applying validated bioinformatics pipelines for genomics, proteomics, and cell‑based assays, the service delivers reproducible quantitative results through an interactive dashboard and exportable reports, helping biotech, pharma, and academic labs accelerate research while ensuring compliance.
Funding
$140M 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.
Founders
Product
Problem
Researchers and clinicians need reliable, high‑throughput tools to analyze biological samples, but existing laboratory workflows are often manual, time‑consuming, and prone to variability.
Solution
Shorelinebio offers a cloud‑based platform that automates the processing and analysis of biological data. The service integrates with standard laboratory instruments to capture raw data, applies validated computational pipelines to extract quantitative results, and presents findings through an interactive dashboard. By centralizing data storage and analysis, the platform reduces manual effort, improves reproducibility, and accelerates decision‑making in research and development. Users can also export standardized reports for regulatory submissions or internal review.
Target Audience
Primary customers are biotech companies, pharmaceutical R&D teams, and academic research labs that require consistent, automated analysis of large‑scale biological datasets.
Features
- Automated data ingestion from common lab equipment via secure APIs
- Scalable cloud computing infrastructure for high‑throughput analysis
- Pre‑validated bioinformatics pipelines for genomics, proteomics, and cell‑based assays
- Interactive visualization dashboard with customizable charts and filters
- Role‑based access control and audit logging for compliance
- Export of results in industry‑standard formats (CSV, JSON, PDF)