GEN-1 platform · Investigational · Supervised clinical environments

MetaBrain Builds the Closed-Loop Metabolic Control Layer.

MetaboCore™ connects metabolic sensing, ECG/HRV autonomic safety gating, deterministic state classification, and bounded dual-channel micro-delivery under clinician-defined limits.

  • Investigational Platform
  • Supervised Clinical Use
  • Predefined Nutrition-Grade Channels
  • Safety-First Control
Platform Overview

The Loop Is the Product.

MetaBrain is not a dashboard, pump, patch, or algorithm alone. The product is the supervised closed loop connecting sensing, inference, bounded actuation, and independent safety.

MetaBrain BioSystems is building a closed-loop metabolic control layer: a supervised system that reads metabolic and autonomic signals, infers bounded state descriptors, actuates predefined nutrition-grade channels, and stops automatically when safety limits are approached.

01 / Read

MetaboPatch™ + MetaboBelt™

Continuous metabolic and autonomic signal acquisition, including interstitial biomarkers, ECG/HRV-derived autonomic proxies, motion context, and signal-quality scoring.

02 / Infer

MetaboCore™

Sensor fusion and deterministic state classification convert multi-source inputs into non-diagnostic control descriptors, confidence scores, and safety-relevant state transitions.

03 / Act

MetaboPump™

Bounded dual-channel micro-delivery executes predefined nutrition-grade channel states within clinician-defined and hardware-enforced limits.

04 / Stop

Independent Safety Kernel

Pump-local safety, autonomic gating, metabolic constraints, stale-data handling, and STOP / HOLD / CONTINUE logic remain dominant over any control objective.

ReadSense
InferClassify
ActBounded delivery
StopSafety dominant

The loop closes only when signal integrity, physiologic envelope, clinician-defined limits, and pump-local safety are all satisfied.

The Product

One controlled system, designed for the clinic and beyond.

MetaboPatch™ sensing, the MetaboCore™ controller, and MetaboPump™ bounded delivery — packaged and presented as a disciplined medical-device system.

Images are concept renderings of an investigational device under development.

The System

One System. Four Layers. One Controlled Loop.

MetaBrain is a closed-loop metabolic control system. It senses metabolic and autonomic signals, classifies the current control state, checks safety permission, and selects a predefined delivery state through MetaboPump™.

Layer 01

Sensing Layer

MetaboPatch™ and the MetaboBelt™ ECG/HRV layer capture metabolic and autonomic signals.

Layer 02

Classification Layer

MetaboCore™ converts signals into non-diagnostic control states.

Layer 03

Safety Layer

Autonomic, metabolic, signal-quality, and pump-local constraints determine whether action is allowed.

Layer 04

Delivery Layer

MetaboPump™ executes Channel A, Channel B, A+B, or No Delivery within fixed limits.

The controlled loop

01Signals
02Classification
03Safety Gate
04Channel Selection
05Pump Execution
RecordSession Record
Sensing Layer

MetaboPatch™: Real-Time Metabolic Sensing for the Control Loop.

MetaboPatch™ is the sensing node of the MetaBrain system. It captures metabolic, redox, oxygenation, contact, motion, and temperature signals that allow MetaboCore™ to understand whether the signal environment is stable, energy-deficient, stressed, recovering, or ambiguous.

MetaboPatch wearable sensing device worn on the upper arm
MetaboPatch — wearable sensing layer · concept render

Metabolic Inputs

Continuous metabolic substrate and energy-state signals.

Optical & Oxygenation Context

Optical metabolic and tissue-oxygenation context.

Signal Integrity

Contact, temperature, and motion-gating signals.

Clean Handoff

Filtered, confidence-scored signal frames to MetaboCore™.

Sensing scope. MetaboPatch™ combines multiple metabolic, redox, oxygenation, temperature, contact, and motion signals into a single confidence-scored sensing layer. Specific sensor configurations, signal-processing methods, and the mapping of signals to control behavior are proprietary and are not described in public materials.
Public-safe note. MetaboPatch™ does not diagnose. It provides signal inputs for supervised state classification.
Autonomic Safety Layer

MetaboBelt™: The ECG/HRV Guardrail.

MetaboBelt™ is the autonomic sensing node of the MetaBrain system. Worn at the chest, it captures ECG and HRV-derived signals that give MetaboCore™ autonomic context — helping it distinguish metabolic stress, autonomic stress, motion artifact, or low-confidence data, and preventing stress misclassification.

External ECG/HRV chest belt and wearable worn in a clinical setting
MetaboBelt™ — autonomic sensing in a supervised clinical setting · concept render

Signal Quality

ECG SQI determines whether autonomic data can be trusted.

HRV Context

HR and RR-derived metrics provide stress and recovery context.

Motion Awareness

Motion flags reduce false interpretation during activity.

Safety Permission

Autonomic stress can force HOLD or prevent escalation.

InputRole
HRPhysiologic trend
RR intervalsHRV computation
SQISignal quality
RMSSD / HRVVagal / autonomic context
Autonomic stress indicatorSympathetic stress context
Motion stateArtifact context
Required clarification.
This layer is not presented as direct vagus nerve measurement. It provides autonomic proxies used for safety gating.
Classification & Control Layer

MetaboCore™: The Fusion and Control Layer.

MetaboCore™ is the logic layer that brings the system together. It aligns sensor signals, computes state descriptors, applies safety logic, and selects one of four delivery states.

MetaboCore controller displaying metabolic trend data
MetaboCore — controller and monitoring · concept render

What MetaboCore™ does

  • Aggregates metabolic and autonomic inputs
  • Checks signal quality and system confidence
  • Classifies non-diagnostic control states
  • Operates within clinician-defined limits and fixed safety rules
  • Blocks action when safety is not satisfied
  • Selects Channel A, Channel B, A+B, or No Delivery
  • Records session activity for review

What MetaboCore™ does not do

  • It does not diagnose disease
  • It does not act outside clinician-defined parameters
  • It does not create substances dynamically
  • Its independent safety logic is fixed and cannot change during use
  • It does not operate without clinician-defined parameters
  • It does not replace clinical judgment

State descriptors

Proprietary control-state descriptors. MetaboCore™ computes a set of non-diagnostic state descriptors that summarize fed and energy state, signal conflict, data confidence, and safety risk. The descriptor definitions, weightings, and decision thresholds are proprietary and are not disclosed in public materials.
Bounded Delivery Layer

MetaboPump™: Bounded Dual-Channel Execution.

MetaboPump™ is the execution layer. It delivers two predefined nutrition-grade channels through a deterministic, safety-bounded dual-channel micro-delivery platform.

MetaboPump controller with a dual-channel administration set
MetaboPump — bounded dual-channel delivery · concept render

Two Independent Channels

Channel A and Channel B remain separate and controllable.

Bounded Delivery

Delivery is constrained by predefined limits.

Pump-Local Safety

Air-in-line, occlusion, comms loss, power fault, and hard STOP are handled locally.

Clinician Workflow

Touchscreen supports workflow only; safety functions are independent.

Four predefined delivery states

Channel A active

Only Channel A is active.

Channel B active

Only Channel B is active.

Channel A + B active

Both predefined channels are active.

No Delivery

Delivery is off / not authorized.

Public-safe statement. MetaboPump™ does not invent delivery logic. It executes bounded commands and can stop independently when safety requires.
Closed-Loop Boundary

Bounded by design. Defined by the clinician.

The system operates inside a fixed, clinician-defined envelope. It is not an autonomous therapy.

  • The system does not dynamically create or formulate substances.
  • The system does not autonomously choose therapy.
  • The system selects among predefined delivery states within fixed limits.
  • The clinician assigns channels, thresholds, and protocol limits.
Research Direction

Investigational Metabolic Signal Conflict.

A controllability concept under supervised clinical development.

MetaBrain is investigating whether supervised, bounded metabolic signal conflict can be induced, measured, maintained, and safely stopped. The platform uses predefined nutrition-grade channel states to create measurable tension between energy-availability and energy-stress signals, while independent safety layers remain dominant.

Signal A

Energy-Availability Signal

A predefined channel state intended to represent a controlled nutrition-grade energy-availability input under clinician-defined protocol limits.

Signal B

Energy-Stress Signal

A predefined channel state intended to represent a controlled nutrition-grade low-energy or stress-context input under strict safety and exposure caps.

Envelope

Bounded Conflict Window

MetaboCore™ evaluates whether signal patterns remain inside a controlled, reversible, and safety-bounded operating envelope. Degraded confidence, autonomic stress, or safety proximity forces HOLD or STOP.

Investigational concept. This is presented as a controllability and evidence-generation framework. No clinical performance, disease-treatment, tumor-response, or regulatory clearance claim is implied.
Safety

Safety Dominates Control.

MetaBrain is designed so that safety permission comes before delivery. If signal confidence is low, autonomic stress is high, metabolic risk is present, or pump-local safety detects a fault, the system holds or stops rather than escalating.

Continue

Within bounds

Signals are valid, physiology is within the permitted envelope, and delivery may continue within bounds.

Hold / Derate

Uncertainty

The system detects uncertainty, degraded data, stress ambiguity, or moderate risk. Delivery is paused, reduced, or not escalated.

Hard Stop

Critical condition

A critical safety condition is detected. Delivery stops and requires recovery workflow.

Safety hierarchy — highest authority first

1

Pump-local safety

Handled independently of the touchscreen, cloud, and higher-level control logic.

2

Autonomic safety gating

Dominates metabolic control authorization.

3

Metabolic safety constraints

Constrain the allowable control envelope.

4

Control objective

Always subordinate to the safety layers above.

Important. STOP and HOLD are not failures. They are intended safety states.
Technology

Engineered for determinism and traceability.

Safety-critical control is governed by deterministic, locked logic and independent safety constraints — not by adaptive models.

Multi-modal metabolic sensing

Concurrent acquisition of metabolic, redox, oxygenation, and contact signals from a single wearable sensing layer.

Sensor fusion & confidence scoring

Time-aligned fusion produces bounded state descriptors with explicit confidence and risk scoring that feed the gating logic.

Bounded model-based control

A model-based controller selects delivery within clinician-defined and hardware-enforced limits; an independent, locked safety kernel can override it at any time.

Dual-channel bounded delivery

Two clinician-assigned nutrition-grade channels with hardware-enforced rate and ramp limits and a defined set of delivery states.

Signal integrity & artifact rejection

Motion gating, contact checks, and signal-quality thresholds reject degraded data before it can influence delivery.

Cybersecurity & telemetry integrity

Authentication, encryption, replay protection, and a tamper-evident session record are designed in line with recognized medical-device security practice.

On AI. The dosing controller is model-based and adaptive within clinician-defined bounds. An independent safety layer — fixed, locked logic on a separate module — can hold or stop delivery at any time and always overrides the controller. AI-assisted analytics support visualization and post-session review only; they have no authority over the safety layer.
Evidence Architecture

Built on design discipline, not unsupported claims.

MetaBrain is building the MetaboCore™ system around design evidence, verification evidence, validation planning, and future clinical evidence. The evidence architecture is intended to show how the system is specified, tested, and controlled before clinical claims are made.

Design Evidence Verification Evidence Validation Evidence Clinical Evidence Quality Evidence Cybersecurity Evidence

System Architecture Evidence

Defines system boundary, product layers, and closed-loop behavior.

Design EvidenceUnder development

Sensor Evidence

Supports MetaboPatch™ signal acquisition, calibration, and artifact rejection.

Verification EvidenceBench verification planned

Control Evidence

Supports state classification, safety gating, and channel-state selection.

Verification EvidenceAlgorithm verification planned

Pump Evidence

Supports bounded dual-channel delivery and pump-local safety.

Verification EvidenceSubsystem verification planned

Autonomic Evidence

Supports ECG/HRV stress discrimination and safety gating.

Verification EvidenceIntegration verification planned

Risk Evidence

Supports hazard identification and risk-control strategy.

Quality EvidenceRisk file under development

Software Evidence

Supports deterministic logic, telemetry, and safety behavior.

Design EvidenceSoftware file planned

Cybersecurity Evidence

Supports authentication, integrity, and update control.

Cybersecurity EvidenceSecurity verification planned

Usability Evidence

Supports safe setup, alerts, and clinical workflow.

Validation EvidenceHuman factors validation planned

Biocompatibility Evidence

Supports patient-contact material safety.

Quality EvidenceBiocompatibility program planned

Formulation Evidence

Supports fixed nutrition-grade channel identity and QC.

Verification EvidenceFormulation verification planned

Clinical Evidence

Future supervised feasibility evidence.

Clinical EvidenceFuture IRB-supervised work
Evidence described on this page may be completed, in progress, planned, or subject to future regulatory and clinical requirements. No clinical performance or regulatory clearance claim is implied unless explicitly stated.

Evidence Roadmap

A phased path from component verification to supervised clinical feasibility.

1Bench sensor verification
2Hardware-in-the-loop system testing
3Pump and safety verification
4Usability and workflow validation
5Preclinical correlation studies
6Future IRB-supervised clinical feasibility

Traceability chain

Every requirement is intended to trace from user need through risk control to verification and validation.

User Need Design Input Requirement Risk Control Verification Test Validation Evidence DHF Record
Investor Access

Request the Confidential GEN-1 Investor Brief

Access the detailed GEN-1 investor materials, including the signal-conflict thesis, protected system architecture, proof pathway, IP pillars, execution plan, and financing roadmap.

Request Investor Brief

Investor materials are provided under confidentiality. Public website content is intentionally limited to investigational, regulatory-safe system information.

Clinical Context

Clinical Context: Supervised Metabolic Management.

MetaBrain's investigational focus is explored exclusively under future IRB-supervised clinical investigation. The platform is investigational; it is not a treatment, and no therapeutic benefit or efficacy is claimed. Safety and feasibility must be established first. Specific indications and clinical detail are reserved for confidential investor and clinical materials.

Clinician reviewing metabolic data at a workstation in a supervised clinical setting
Supervised clinical setup · concept render

Investigational focus — pursued under future supervised studies; no approved indications

Oncology (investigational) Metabolic research Metabolic disease Cardiovascular Neurology
Clinical claims will require appropriate regulatory clearance, clinical validation, indication-specific evidence, and supervised clinical protocols.
Investor Access

Request the Confidential GEN-1 Investor Brief

Access the detailed GEN-1 investor materials, including the signal-conflict thesis, protected system architecture, proof pathway, IP pillars, execution plan, and financing roadmap.

Request Investor Brief

Investor materials are provided under confidentiality. Public website content is intentionally limited to investigational, regulatory-safe system information.

Regulatory & Quality

Built Around Design Controls.

Development is organized around recognized medical-device standards and a design-history-file approach to traceability.

ISO 14971Risk managementHazard analysis and risk-control traceability across the lifecycle.
IEC 62304Software lifecyclePlanned, controlled medical-device software development and testing.
IEC 62366-1Usability engineeringHuman-factors process for safe clinical setup and operation.
IEC 81001-5-1CybersecuritySecurity activities across the software lifecycle.
ISO 10993BiocompatibilityBiological evaluation of patient-contacting materials.
ISO 13485QMS / FDA QMSR readinessQuality-management-system framework readiness.
DHF / DMR / V&V traceability. Design inputs, outputs, risk controls, and verification & validation activities are organized for end-to-end traceability. Standards references describe the intended development framework and do not imply certification unless specifically stated.
Partners

Build the Closed-Loop Metabolic Control System With Us.

MetaBrain is seeking strategic partners across clinical research, biosensing, infusion systems, medical-device engineering, software safety, regulatory strategy, quality systems, and translational metabolism.

Clinical research centersSupervised feasibility and workflow development.
Hospital innovation programsControlled clinical environment collaboration.
Biosensor partnersMetabolic and physiologic signal layer.
Infusion system partnersDual-channel micro-delivery platform.
Medical device manufacturersHardware scaling and design transfer.
Regulatory / Quality partnersQMS, risk, V&V, and submission strategy.
Strategic investorsPlatform execution and scale.
Biocompatibility / V&V labsVerification, materials, and safety evidence.
Team

A multidisciplinary medical-device team.

Roles are shown until approved bios exist.

Founder / Inventor
Architecture

System concept, closed-loop metabolic control architecture, sensing-to-delivery strategy.

Systems Engineering
Integration

Requirements, interfaces, state logic, safety architecture.

Sensor Engineering
Sensing

Electrochemical, optical, impedance, and motion systems.

Software / Embedded Systems
Deterministic Logic

Deterministic logic, telemetry, safety states, cybersecurity.

Clinical / Regulatory Advisors
Claims Discipline

Supervised clinical workflow, claims discipline, Q-Sub and IRB alignment.

Medical Device Quality
Design Controls

Design controls, risk management, V&V, supplier and manufacturing quality.

Investor Access

Request the Confidential GEN-1 Investor Brief

Access the detailed GEN-1 investor materials, including the signal-conflict thesis, protected system architecture, proof pathway, IP pillars, execution plan, and financing roadmap.

Request Investor Brief

Investor materials are provided under confidentiality. Public website content is intentionally limited to investigational, regulatory-safe system information.

Contact

Request Access to MetaBrain Materials.

Select Investor Brief for confidential GEN-1 materials, or choose another collaboration category for technical, clinical, regulatory, or partnership inquiries.

StatusInvestigational platform — under development. Not FDA-cleared or approved.

Submissions are sent securely to MetaBrain BioSystems. For confidential investor materials, select “Investor Brief”.