Industry
Endee for Healthcare
From medical imaging to drug discovery, all on privacy-preserving vector infrastructure that meets GDPR requirements without sacrificing performance.
Capabilities
AI for healthcare, privacy by design
Medical Image Similarity Search
Find radiologically similar cases from historical scans. Endee indexes medical image embeddings and retrieves visually analogous cases in milliseconds, supporting diagnosis by precedent and radiologist second opinions.
Drug Discovery
Encode molecular structures as vectors and search for compounds with similar pharmacological profiles. Accelerate lead identification by finding analogues in libraries of billions of molecules.
Clinical Trial Matching
Match patients to eligible clinical trials by encoding inclusion/exclusion criteria and patient profiles as vectors. Semantic matching surfaces relevant trials that keyword-based systems miss.
Patient Record Search
Semantic search across structured and unstructured EHR data. Physicians surface relevant case histories, treatment notes, and lab results with natural language, not ICD code lookups.
Queryable Encryption
Search on encrypted patient vectors without decryption. Patient data never appears in plaintext on the server. Zero-knowledge architecture built for the strictest GDPR requirements.
Privacy & Compliance
ISO 27001, SOC 2 Type II, and GDPR compliant. On-premises and air-gapped deployment for hospitals and research institutions that cannot use public cloud for sensitive patient data. No telemetry, no cloud dependency once installed.
Frequently Asked Questions
Common questions about AI in healthcare with privacy-first vector search.