Genospect helps life sciences teams store, organize, compress, encrypt, and analyze genomic data while building the provenance layer needed for regulated bioinformatics and AI workflows. The current MVP supports genomic file management, experiment organization, Clustal Omega multiple sequence alignment, and cloud storage integrations.
Store, organize, compress, and encrypt genomic files in experiment-based workspaces. Genospect gives teams a structured foundation for managing raw sequencing files, lab outputs, metadata, and analysis-ready datasets without losing file context or project traceability.
Run bioinformatics tools inside a governed project environment. The MVP includes multiple sequence alignment with Clustal Omega, with variant-calling workflows, parameter tracking, and source-to-output run history expanding next.
Connect genomic workflows to external storage and compute environments while keeping data organization and governance centralized. Genospect currently supports Google Cloud and Google Drive integrations, with AWS and Azure support in development.
Building the governed workflow layer between raw biological data, reproducible bioinformatics, and AI-ready datasets.
Current MVP supports genomic file storage, experiment-based organization, compression, encryption, multiple sequence alignment, and Google Cloud / Google Drive integrations.
Expand variant-calling workflows, workflow parameter tracking, source-to-output provenance, run history, and audit-ready reporting for regulated research teams.
Prepare standardized, provenance-rich biological datasets for ML workflows, model validation, explainability, and governed BioAI deployment.
Where raw biological data becomes trusted AI-ready evidence.
Built for regulated genomic data transformation. Genospect provides the foundation for secure, auditable, and reproducible life sciences workflows — from raw biological files to trusted computational outputs.
Store and organize sequencing files, lab exports, metadata, and experiment context inside structured research workspaces.
Compress and encrypt genomic files to support more secure, storage-efficient handling of large biological datasets.
Run Clustal Omega multiple sequence alignment workflows and keep analysis outputs connected to their source files and experiment records.
Early variant-calling workflow development is underway, with future support for tracked parameters, outputs, and workflow reproducibility.
Track how files, parameters, transformations, and analysis outputs relate across the research workflow.
Connect research data workflows to Google Cloud and Google Drive, with AWS and Azure support planned as the platform expands.
Build toward audit-ready records for regulated research workflows, including file history, run metadata, access events, and transformation logs.
Prepare standardized, traceable datasets for future model development, validation, explainability, and regulated BioAI use cases.
Join life sciences teams exploring secure genomic file management, reproducible bioinformatics workflows, and AI-ready dataset preparation. Genospect is building the governed workflow layer between raw biological data, cloud infrastructure, and trusted computational evidence.