Healthcare is awash in data, yet most of it goes unused. Octillion promises to turn “dirty” and fragmented records into a secure and usable source of insights for research, hospitals, and public health. The goal is to shorten the path from data to findings and reduce costs.
Modular platform from collection to analysis
Octillion offers an enterprise, modular infrastructure that automates standardization, cleaning, storage, and encryption of data. Data is stored in a secure data space for sharing with an emphasis on regulatory compliance, while a separate “data laboratory” with tools for analytics and modeling serves analysis. An end-to-end mechanism is meant to verify the authenticity of records, and a “copilot” also assists researchers. The result is interoperability, secure exchange, higher data quality and value, lower costs, and faster development.
Market obstacles and what to do about them
The biggest problem is fragmentation and inconsistent formats. Octillion claims that through automated standardization it reduces manual workload by up to 90 %, relies on 10 global exchange standards (five for human and five for veterinary data), and offers approximately 400 connectors to various systems. In the regulatory area, some institutions do not follow FAIR principles or regulations such as GDPR and HIPAA; built-in compliance is intended to shorten approvals by up to fivefold and protect privacy across the entire data journey.
Limited access to quality data hampers results: 60 % of studies work with outdated datasets and 40 % of AI research in healthcare suffers from biases or low quality. The platform promises to improve model accuracy by 30–50 %, support real-time work, and link human and veterinary data in the spirit of One Health. The secure data space is meant to accelerate sharing across organizations and borders, reduce costs by 30 %, and, thanks to tokenization and encryption, limit security risks by 90 %. In data management, where up to 30 billion dollars a year are wasted inefficiently today, Octillion aims to cut costs by 30–50 %, scale capacity, and also speed up grant approvals thanks to “regulation‑ready” data; it offers academic, government, and research partners free access in exchange for feedback from pilots.
