Build the Studio Once. Launch Many Clinical AI Agents.
MetaBrain Labs provides a patented closed-loop AI architecture and Agent Studio for creating, governing, and deploying task-specific, sensor-informed AI agents within existing clinical and research environments.
We begin with one paid, controlled pilot. MBL configures and operates the Agent Studio, agents, and orchestration while connecting to your existing environment, allowing your organization to validate the technology in a real use case without first building the capability internally.
If the pilot proves its value and you choose to scale, MBL licenses the patented architecture and provides the implementation blueprint, Agent Studio framework, training, and technology transfer needed for your team to build and operate the capability within your own environment.
Most AI development projects produce one agent for one workflow. When another task emerges, the organization often has to return to the developer and begin again.
Our model is different.
The paid pilot proves one clearly defined agent and workflow first. If the organization chooses to scale, MetaBrain Labs then licenses the architecture and transfers the implementation knowledge needed to establish a reusable internal capability for designing, configuring, governing, testing, and deploying additional clinical agents.
The first validated agent becomes the foundation. Your team can then build additional agents for new studies, populations, products, and clinical workflows without rebuilding the architecture each time.
We do not simply build agents for your organization. We prove the model first, then enable your organization to build and operate its own.
Add a Governed Agent Layer to Your Existing Clinical Platform
Your existing platform remains the foundation.
During a pilot, MBL connects its governed agent and orchestration layer to the sensors, applications, clinical systems, and data sources already operating within your environment. Your core data and infrastructure remain under your control.
Defined sensor or system events can activate a task-specific agent to engage the patient or participant, gather needed context, apply configured rules and protocols, and return structured outputs to your platform.
These outputs can include:
- Next best steps
- Escalation flags
- Structured summaries
- Updated patient or participant context
- Audit-ready interaction records
If you later license and bring the capability in-house, the same integration model can be implemented within your own technology environment.
The result is not another disconnected clinical application. It is a governed interaction layer designed to work with the systems you already have.
The Agent Studio operates as a bidirectional layer between the data already flowing through your platform and the clinical workflows that need to respond.
A Reusable Foundation for Multiple Clinical Tasks
The studio is not a fixed chatbot or a single-purpose module.
It establishes the common architecture, integrations, safety patterns, reporting, and governance controls needed to support many task-specific agents.
Once the foundation is in place, your team can configure agents for different uses while maintaining a consistent operating and oversight model.
Remote Clinical Trials
Create agents for participant check-ins, adherence support, symptom follow-up, device issues, missed tasks, protocol-defined events, and between-visit escalation.
Explore Remote Clinical Trials
Clinical Intake Agent
Create agents that guide check-in, collect symptoms and vital signs, identify missing information, validate responses, and route concerns for staff review.
Seizure Monitoring
Create agents that respond to possible EEG or biometric events, engage the patient or caregiver for context, help distinguish likely events from false positives, and return structured information for clinical review.
These are not three unrelated custom builds. They illustrate how one governed studio can support different agents, sensor inputs, protocols, populations, and clinical tasks.
A Reusable Foundation for Multiple Clinical Tasks
The Agent Studio brings the full lifecycle of clinical AI agent development into one governed framework—from selecting the task and connecting sensors, applications, and clinical data to configuring prompts, protocols, terminology, longitudinal memory, intervention rules, model and voice options, interactive controls, notifications, and structured reporting. Safety thresholds, human review, escalation pathways, audit trails, permissions, and change controls are designed into the architecture rather than added after deployment.
MetaBrain Labs works with your team through discovery, integration, configuration, testing, validation, controlled launch, staff training, and ongoing governance, beginning with one clearly defined agent and establishing the reusable foundation for those that follow. The result is not another isolated chatbot or outside vendor dependency, but a patented, bidirectional clinical interaction layer embedded within your existing platform—one your organization can operate, govern, and expand across new studies, populations, products, sensors, and clinical workflows as its needs evolve.