Ikerian offers the Discovery platform, a modular cloud‑based solution that aggregates, harmonizes, and standardizes large volumes of unstructured multimodal medical data such as imaging, omics, and electronic health records. Using AI‑driven analytics, it extracts quantitative biomarkers, predicts disease outcomes, and automates workflows to accelerate patient selection, clinical studies, and data‑driven decision making for pharma, device makers, hospitals, and research organizations.
Funding
$14.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BIPISTVTH+1Founders
Product
Problem
Healthcare organizations struggle to integrate and analyze large volumes of unstructured, multimodal medical data—such as imaging, omics, and clinical records—leading to delayed insights, inefficient workflows, and suboptimal treatment decisions.
Solution
Ikerian’s Discovery platform provides a modular, cloud‑based solution that aggregates, harmonizes, and standardizes diverse healthcare data sources at scale. Built on AI‑driven analytics, the platform extracts quantitative biomarkers, monitors disease trajectories, and predicts outcomes across therapeutic areas including ophthalmology, neurology, cardiovascular, and rare diseases. Automated workflows and a library of validated biomarkers enable faster patient selection, streamlined clinical studies, and data‑driven decision making for clinicians and researchers. The system complies with patient‑privacy regulations and integrates with existing clinical and research infrastructures, delivering real‑time insights without manual data wrangling.
Target Audience
Primary users are pharmaceutical and life‑science companies, medical device manufacturers, hospitals, clinics, and academic or contract research organizations that need scalable data analytics for drug development, clinical trials, and patient care.
Features
- Automated ingestion and harmonization of multimodal data (imaging, omics, EHR) from heterogeneous sources
- AI models that extract disease‑specific biomarkers and generate quantitative metrics
- Predictive analytics for disease progression and treatment outcome forecasting
- Configurable, modular workflow engine for patient management and clinical study automation
- Secure, compliant data handling with regulatory certifications and privacy controls
- API and integration layer for seamless connection to hospital information systems and research platforms