AI-native R&D lineage
CTI's AI strategy started before the chatbot era: with structured health data, wearable signals, psychometrics, machine learning, consent, and clinical context.
The AI-native parent company behind Regenemm Healthcare.
Founded in 2019, CTI builds clinically grounded AI systems for healthcare. From early work in stress-performance monitoring, body movement analysis, biosensors, sleep, and circadian health, CTI has evolved into the parent company behind Regenemm Healthcare: a hub-and-spoke clinical AI ecosystem with a secure, consent-aware, audit-grade control plane.
Creative Thinking Institute is the AI-native parent company behind Regenemm Healthcare. CTI began with the problem of human performance under stress, then expanded into physiology, sleep, circadian rhythm, wearable biosensors, soft sensing, rehabilitation movement analysis, and medical IoT data streams.
The GPT era accelerated the mission. CTI did not pivot from nothing into AI; it extended a pre-existing machine-learning, biosensor, and clinical-data thesis into AI-native healthcare infrastructure.
CTI is the origin, governance, research, and credibility layer. Regenemm Healthcare is the platform. Shared transparency is the product.
CTI's AI strategy started before the chatbot era: with structured health data, wearable signals, psychometrics, machine learning, consent, and clinical context.
The Regenemm Hub governs identity, consent, audit evidence, exports, persistence, cross-spoke routing, entitlements, telemetry, and compliance evidence.
AI lifecycle controls, impact assessments, system cards, data lineage, release gates, monitoring evidence, and executive risk ownership are being built into the operating model.
Regenemm has evolved into a hub-and-spoke architecture where domain-rich clinical workflows connect to a governed platform backbone.
Regenemm Healthcare is being built with compliance and governance embedded into its operating model. CTI works with Vanta to support its formal accreditation and assurance pathway across ISO 27001, ISO 42001, HIPAA, GDPR, and SOC 2 readiness.
The operating principle is simple: no evidence means not done. Healthcare AI must be secure, auditable, explainable, and accountable from the beginning, not retrofitted after product-market fit.
That means executive oversight, AI impact assessments, lifecycle gates, system cards, data lineage, release approvals, monitoring records, incident evidence, and Vanta-linked risk ownership.
Regenemm combines clinical AI assistants, structured documentation, patient-facing summaries, consent-aware workflows, interoperability, auditability, and compliance-led deployment.
AI is not a feature bolted onto the product. It is part of the clinical workflow architecture, data model, governance layer and operating system of the platform.
Regenemm Voice helps transform clinical conversations into structured documentation and patient-facing summaries designed to support clinician review, patient understanding, handover quality, and continuity of care.
Current thinking on AI in healthcare, clinical workflow, governance, and patient communication.
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