Partnership opportunities in digitizing different types of blood analysis

We're looking for strategic partners to co-develop an end-to-end platform for digitizing biological samples and applying AI to support their clinical interpretation.

The platform we envision integrates automated slide scanning hardware with a cloud-based AI engine capable of detecting, classifying, and flagging anomalies across a wide range of biological specimen types — including but not limited to peripheral blood smears, bone marrow aspirates, and histopathological samples.

Key areas of collaboration we are looking for include:

• Hardware / Imaging — Whole-slide scanner manufacturers or optical imaging specialists able to produce high-resolution digital outputs suitable for AI training and inference

• AI / Machine Learning — Computer vision and deep learning teams with experience in medical image analysis, cell classification, and anomaly detection

• Cloud & Data Infrastructure — Partners capable of building secure, scalable cloud architectures for image storage, annotation workflows, and model deployment in compliance with medical data regulations (GDPR, HIPAA, MDR)

• Clinical & Laboratory — Pathologists, hematologists, or diagnostic laboratories willing to contribute annotated datasets and validate AI model outputs in real-world clinical settings

• Regulatory & IVD Compliance — Partners with experience navigating In-Vitro Diagnostics (IVD) certification processes (EU MDR / FDA)