Industry
Healthcare technology solutions for patient care, diagnostics, and health data management
12 solutions
Deep learning models trained on medical imaging that flag findings for radiologist review — improving detection accuracy and screening throughput for radiology and pathology departments.
Risk stratification models that identify patients most likely to deteriorate, readmit, or develop complications — enabling care teams to intervene earlier and with more precision.
Telemedicine platforms with video consultation, symptom triage, e-prescription, and referral workflows — built to the clinical reliability and data security standards of synchronous care.
Computational biology and ML systems that accelerate target identification, compound screening, and trial cohort selection — reducing the time and cost of early-stage drug development.
Security engineering and compliance architecture that protects patient data under HIPAA, GDPR, and national health data regulations — with access controls, encryption, and audit trails.
LLM applications that transcribe clinical conversations, generate structured notes, draft discharge summaries, and reduce the documentation burden that consumes clinician time.
ML models applied to healthcare claims that identify billing fraud, upcoding, phantom procedures, and duplicate submissions — before reimbursement is made.
End-to-end engineering of EHR systems, patient portals, clinical decision support tools, and health data platforms — built to HL7 FHIR standards and clinical-grade reliability requirements.
Compliance management systems that track regulatory obligations, automate policy reviews, and maintain audit-ready documentation for healthcare accreditation and regulator inspections.
Conversational AI systems that answer patient queries, guide symptom triage, send medication reminders, and book appointments — deployed across hospital websites, apps, and SMS.
Analytics and scheduling systems that improve hospital resource utilisation — reducing theatre idle time, optimising bed capacity, and matching staffing to patient demand patterns.
Advisory engagements that help health systems and digital health companies build AI strategies aligned with clinical workflows, data governance, and regulatory requirements.
