Orikami offers a medical AI platform that provides the regulatory‑aware infrastructure needed to turn healthcare data into clinically actionable insights. By combining data science, clinical expertise, and a secure data integration layer, the platform enables organizations developing digital biomarkers, medical software, or AI‑driven research to build, validate, and deploy algorithms at scale. Its KRANE™ platform is already used as the digital data backbone for large‑scale research programmes such as the NWO‑funded Care is Coming Home! project.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare organizations often struggle to integrate heterogeneous clinical data and develop AI algorithms that meet regulatory standards, leading to slow innovation and limited deployment of digital biomarkers and medical software in real-world settings.
Solution
Orikami provides a medical AI platform that combines data science tools, clinical expertise, and regulatory‑aware infrastructure to streamline the creation of AI‑driven health solutions. The KRANE™ digital data platform centralizes and harmonizes diverse healthcare datasets, enabling researchers and developers to build, validate, and deploy algorithms within existing clinical and MedTech workflows. Built‑in compliance features reduce the burden of regulatory documentation, while modular components support the entire lifecycle from data ingestion to model monitoring. By offering a unified environment, Orikami accelerates the translation of digital biomarkers and medical software from concept to clinical use.
Target Audience
Primary customers are healthcare providers, research institutions, and MedTech companies developing digital biomarkers, diagnostic software, or AI‑enhanced clinical decision support tools.
Features
- KRANE™ data platform for secure ingestion, normalization, and storage of multi‑source healthcare data
- Integrated development environment with pre‑configured pipelines for model training, validation, and versioning
- Regulatory‑aware modules that generate documentation and audit trails aligned with medical device standards
- API and connector library for seamless integration with electronic health records, imaging systems, and IoT medical devices
- Real‑time monitoring dashboard to track algorithm performance and data drift in production environments
- Collaboration tools that allow clinicians and data scientists to co‑design and review digital biomarkers