Oktopi offers a cloud‑based cognitive infrastructure that captures and continuously updates expert drug‑development knowledge in a structured knowledge graph. The platform combines this knowledge layer with AI‑assisted workflows and real‑time collaboration tools, enabling pharmaceutical, biotech, CRO, and academic teams to retrieve insights, run predictive analyses, and automate routine tasks for faster, higher‑quality decision‑making throughout the drug development lifecycle.
Funding
Funding not disclosed
Founders
Product
Problem
Teams developing new medicines often struggle with fragmented expertise, limited access to up‑to‑date scientific knowledge, and inefficient collaboration, which slows decision‑making and increases development costs.
Solution
Oktopi provides a cloud‑based cognitive infrastructure that captures and continuously updates world‑class drug development knowledge in a structured expert layer. The platform integrates this knowledge with AI‑assisted workflows, enabling users to retrieve relevant insights, run predictive analyses, and automate routine tasks. By linking individuals and organizations through a shared collaborative environment, Oktopi helps teams make faster, more informed decisions and accelerate the path from discovery to patient. The system is designed to be human‑guided, allowing experts to validate AI suggestions while benefiting from a collective intelligence network.
Target Audience
Primary users are pharmaceutical companies, biotechnology firms, contract research organizations, and academic research groups that need to streamline drug development processes and leverage collective expertise.
Features
- Continuously evolving expert knowledge graph covering pre‑clinical, clinical, regulatory, and manufacturing domains
- AI‑driven recommendation engine that suggests study designs, target selection, and risk mitigation strategies
- Integrated workflow tools for protocol drafting, data analysis, and project tracking
- Real‑time collaborative workspace with versioned documentation and discussion threads
- Capability to embed external data sources and proprietary datasets while maintaining security and compliance
- Adaptive learning loop that incorporates user feedback to refine models and knowledge updates