BCT partnered with HATO Medical Technologies to redesign the platform architecture and data flow from the ground up.

The scope covered:

• Redesign of platform architecture and data pipelines
• Structuring and compliance of physiological health data
• Integration of proprietary AI models into a scalable backend
• Clinical decision support embedded in existing workflows
• Explainability and traceability across the entire data lifecycle

HATO Medical operates in an environment where accuracy is not a feature - it is survival.

The concept was to transform fragmented and noisy physiological measurements into reliable, explainable and actionable clinical insight.

The solution integrates HATO’s proprietary AI models with a robust backend architecture enabling:

• Real-time analysis of ECG and physiological signals
• Automated detection of anomalies and risk patterns
• Decision support delivered directly into clinical workflows
• Full traceability from raw signal to final recommendation

Every AI-driven output can be traced, understood and validated by clinicians.

This was not an AI experiment. It was a critical infrastructure build.

BCT did not start with prompts or models. We started with:

• Clinical reality and everyday hospital workflows
• Regulatory and compliance requirements
• The constraints of operating in medical environments

The process focused on:

• Designing a compliant and future-proof data structure
• Building scalable AI pipelines for signal analysis
• Ensuring transparency in AI decision paths so clinicians understand why a conclusion was reached
• Creating a foundation that can scale across clinics and healthcare systems

The new platform enables HATO Medical Technologies to operate with greater speed, consistency and trust.

The results include: