Computational Infrastructure for High-Fidelity Clinical Execution
MyMonitor transforms clinical protocols, conversations, records, and images into structured, traceable workflows for research and healthcare.
From evidence to execution, with deterministic logic, human oversight, and source-linked outputs.
The Clinical Execution Fidelity Gap
Healthcare information is increasingly digital. Clinical execution remains fragmented. Clinical organizations generate enormous volumes of data, yet execution still depends heavily on repeated interpretation, manual transcription, fragmented systems, and operator-dependent workflows.
Protocol Variability
Static protocols and SOPs must repeatedly be translated into operational decisions across sites, teams, and systems.
Data Transformation Burden
Clinical information frequently moves from conversation, document, image, or record into structured systems through manual interpretation.
Measurement Variability
Subjective assessments can introduce inter-observer and intra-observer variability where standardized quantitative methods are possible.
Institutional Memory
Clinical knowledge often lives inside people, binders, and fragmented processes.
MyMonitor introduces a structured execution layer between clinical evidence and operational action.
One Clinical Information Pipeline
From multimodal information to structured, traceable clinical execution.
Multimodal Signal Acquisition
Voice · Text · Clinical Records · Imaging
MyMonitor captures clinical information across multiple input modalities and converts it into structured data suitable for downstream workflow execution.
- AI-assisted voice and conversational intake
- Natural-language clinical information extraction
- Structured patient-reported information
- Imaging and longitudinal visual data
- Remote and site-based data acquisition
The Protocol Compiler for Clinical Research
We don't build another AI assistant that answers questions about protocols. We compile protocols into deterministic, executable clinical workflows — making correct execution the path of least resistance.
Upload the protocol.
MyMonitor parses eligibility, visit schedules, and documentation requirements into reusable execution primitives.
Coordinators receive guidance at every visit.
Real-time, step-by-step guidance keeps required assessments, branching logic, and escalation rules in view during execution.
Visit data becomes structured source.
Visit data becomes structured, traceable source documentation with auditability built into the workflow.
Verification-First AI for Regulated Workflows
AI should not become the source of clinical truth. MyMonitor is designed so that probabilistic models operate inside deterministic execution controls.
Deterministic Execution
Clinical rules, workflow transitions, schemas, and escalation logic are explicitly defined rather than delegated entirely to probabilistic model behavior.
Evidence-Bounded AI
Generative models operate within constrained contexts using retrieved source evidence rather than relying solely on latent model knowledge.
Traceable Outputs
Structured outputs can retain links to supporting evidence, workflow state, and execution metadata.
Human Oversight
Consequential clinical and research decisions remain subject to qualified human review.
The evidence remains authoritative. The model assists execution.
Applied Across Clinical Research, Healthcare, and Public Health
Clinical, Operational & Technical Evidence
Pilot result. Study design and population available upon request.
Measured against the defined evaluation endpoint for the pilot workflow.
Participant operations to date.
Early Evidence. Accelerating Momentum.
Commercial Traction
- Clinical Research of Philadelphia
- PharmD Live
- Corrielus Cardiology
Strategic Partnerships
- NVIDIA — Healthcare Data/AI Infrastructure Collaboration
- Harvard Business School Foundry — Healthcare Data/AI Infrastructure Validation
- Temple University — Smart Dermatoscope Development
- WPI/Practice Point — MyMo Robot (Autonomous Skin Disease Capture & Analysis)
Competitive Recognition
- NSF I-Corps Propelus
- Nasdaq Milestone Makers
- CTIP Finalist
- MeHI Primary Care Innovation Challenge Finalist
The Team Built for This Problem
Two founders. One decade of clinical execution experience. One decade of deterministic enterprise infrastructure. Exactly the intersection this problem demands.
Charles Mbata, MBA
Founder & CEO
Healthcare entrepreneur and clinical research professional with more than a decade of experience leading Phase I–IV clinical trials across pharmaceutical sponsors, CROs, and healthcare organizations. Prior leadership exposure spans dermatology, immunology, cardiology, orthopedics, and medical devices.
Seven Ezumba
Co-Founder & CTO
Enterprise software architect and technology innovator with a background spanning distributed systems, cloud infrastructure, artificial intelligence, cybersecurity, full-stack engineering, and high-performance computing, including work as the architect of ExergyNet, MetalDrug, and TensileEra.
Build the Next Layer of Clinical Execution
Explore how MyMonitor can transform complex clinical workflows into structured, traceable execution.