TO64 provides a digital workflow platform that lets scientific teams build and run end‑to‑end research pipelines using a drag‑and‑drop builder, data connectors, and AI‑assisted analysis modules. The system automates data ingestion, preprocessing, analysis, and result sharing while offering real‑time collaboration, version control, and audit trails to improve reproducibility and speed in labs, biotech, and academic research.
Funding
Funding not disclosed
Founders
Product
Problem
Scientific organizations often rely on fragmented, manual processes for research, data analysis, and collaboration, leading to inefficiencies, errors, and delayed insights.
Solution
TO64 offers a digital workflow platform that embeds scientific expertise into automated tools, enabling end‑to‑end management of complex research projects. The platform provides a unified environment where data ingestion, preprocessing, analysis, and result sharing are orchestrated through configurable pipelines. By automating routine tasks while preserving human oversight, TO64 reduces manual effort, improves reproducibility, and accelerates the generation of actionable insights. Integrated collaboration features allow multidisciplinary teams to work together in real time, maintaining version control and auditability across the workflow.
Target Audience
Primary customers are research laboratories, pharmaceutical and biotech R&D departments, and academic institutions that need to digitize and coordinate complex scientific workflows.
Features
- Drag‑and‑drop workflow builder tailored for scientific protocols
- Built‑in data integration connectors for laboratory instruments, databases, and cloud storage
- AI‑assisted analysis modules for statistical modeling, image processing, and omics data
- Real‑time collaboration workspace with shared notebooks, commenting, and permission controls
- Comprehensive audit trail and compliance reporting for regulated environments
- Scalable cloud deployment with API access for custom tool integration