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The Electrome vision

See biology differently.
Build medicine accordingly.

Electrome is building an AI-native bioelectric medicine company around a simple conviction: the electrical behavior of biology is measurable, computable, and worth translating with care.

See the methodRead the science
Bioelectric signalingCells coordinating through voltage signals
Proposed MATRIX System

Scan → Diagnose → Compute → Treat → Measure → Adapt → Treat again

A future, mat-based hardware research concept for a measured, repeating loop. MATRIX System is at concept-and-design stage: it is not FDA-cleared, not a diagnostic, not an approved therapy, and not available for clinical or consumer use. Diagnose is a future research goal, not an existing diagnostic capability.

  • Commercial todayFDA-cleared PSWT devices for labeled pain uses
  • Operating internallyLaboratory research software and workflows, not patient care
  • Research directionProposed concept, not built, cleared, or available
Proposed MATRIX System concept: a person on a layered mat with an embedded PEMF coil and sensors, inside a seven stage loopProposed research schematic, not a device. A person lies on a dashed, exploded drawing of a proposed mat with three layers: a surface, a sensor layer, and an embedded pulsed electromagnetic field coil. Placement, counts and field arcs are illustrative. Seven numbered stages, Scan, Diagnose, Compute, Treat, Measure, Adapt and Treat again, sit on a loop around the mat. Arrowheads show clockwise direction, and a highlighted return arrow shows measured response informing the next scan. Every stage is a long-term research concept.Response → next scanSurfaceSensorsPEMF coilPROPOSED RESEARCH SCHEMATIC · PLACEMENT ILLUSTRATIVE
  • Surface · Proposed comfort surface the person lies on
  • Sensors · Proposed sensor layer, placement illustrative
  • PEMF coil · Proposed embedded coil, placement illustrative
Research directionProposed MAT layers and the sense–compute–respond loop they are designed to explore.
01 · Scan

Proposed whole-body sensing would capture a repeatable bioelectric and physiological baseline.

7 proposed stages. Each requires a human decision, validation, and an appropriate regulatory pathway before any future use.

MATRIX Discovery · AI-native R&D software

The model proposes.
Scientists decide.

MATRIX Discovery is Electrome's operating, internal R&D software pipeline, not the future MATRIX System hardware. Data informs models; models rank candidate waveforms and suggest hypotheses; controlled experiments test them; scientific review determines what moves forward.

Specialized AI tools support evidence discovery, a signal, tissue, indication, and evidence knowledge graph, hypothesis review, and mathematical and statistical modeling. Simulation and digital-twin work remain research directions. Every material advancement passes a human scientific release gate; the software does not diagnose, monitor, or treat a person.

MATRIX Discovery research loop, schematicFour illustrated phases left to right: evidence documents, a computational model graph, a controlled laboratory sample over a coil, and a measurement trace. A scientist review checkpoint sits between each phase, and an arrow returns reviewed results to evidence and modeling. Schematic only; laboratory research, not patient care.Reviewed results, including negative ones, return to the question and the modelsEvidenceSteps 01-03ComputationSteps 04-05Controlled labSteps 06-07MeasurementStep 08Scientist reviewScientist reviewScientist review
  1. 1Evidence · source-grounded literature review (Steps 01-03)
  2. 2Computation · hypotheses and mathematical models (Steps 04-05)
  3. 3Controlled lab · protocol and wet-lab signal delivery (Steps 06-07)
  4. 4Measurement · instrument observations, statistics, replication (Step 08)
  5. Scientist review sits between every phase; reviewed results return to the question and the models.
Phase 1 · Question and evidence
AI-native, scientist-directed
  1. 01Define the research question

    Scientists set a bounded biological question, success criteria, and interpretation limits.

    Operating internally
  2. 02Discover the literature

    Specialized research agents search and organize public scientific evidence for review.

    Operating internally
  3. 03Extract and rank evidence

    Evidence is grounded to sources, compared for quality, and ranked without replacing scientific judgment.

    Operating internally
Human review: Scientists review grounded evidence before hypotheses
Phase 2 · Hypotheses and models
AI-native, scientist-directed
  1. 04Generate and challenge hypotheses

    Agents work adaptively in parallel and sequence to propose, compare, and challenge candidate explanations.

    Operating internally
  2. 05Model candidate signals

    Mathematical and statistical models help scientists explore candidate signal-response relationships.

    Operating internally
Human review: Scientists select candidates before any protocol
Phase 3 · Controlled laboratory work
Researcher-run
  1. 06Design a controlled protocol

    Scientists translate selected candidates into reproducible laboratory protocols and review gates.

    Operating internally
  2. 07Run hardware-controlled experiments

    Defined signals are delivered in controlled wet-lab studies; instruments record experimental observations.

    Operating internally
  3. 08Validate and replicate

    Researchers apply statistical checks, replication, negative controls, and human interpretation.

    Operating internally
Human review: Scientists approve protocols and interpret every experiment
Human scientific release gate
After review
  1. 09Publish and document

    Results that clear scientific review can advance to peer review, publication, and regulatory documentation.

    Operating internally
  2. 10Expand the learning loop

    The roadmap links validated evidence back into improved models and future programmable delivery research.

    In development

Work that does not clear review stops or returns to an earlier phase. Nothing here reaches a patient.

Learning loop: reviewed results, including negative ones, return to step 01 to sharpen the next research question and to step 05 to refine candidate models. Each return passes human review again.
First official pathway · Company programme milestone
  1. 01
    AI-native evidence analysis and hypotheses

    Specialized AI tools supported literature review and hypothesis work.

  2. 02
    Modeling and candidate ranking

    Models helped rank a candidate for scientists to consider.

  3. 03
    Human scientific review

    Scientists decided what advanced to the laboratory.

  4. 04
    Controlled laboratory research

    In-vitro experiments with replication, run by researchers.

  5. 05
    Peer-reviewed publication

    Frontiers in Medicine, August 2026.

Current stagePreclinical · In vitro · Research onlyNo clinical or human studies are shown here.

Lyme research is the first official pathway Electrome reports as having progressed through MATRIX Discovery to peer review. This is a company programme milestone, not independent validation that AI tools caused the result. A platform-selected candidate produced a measurable, replicated in-vitro result on the first day of experiments; peer-reviewed publication followed approximately six months after the initial laboratory work.

This preclinical in-vitro result does not establish a Lyme disease treatment, cure, clinical efficacy, or use in people. No Electrome product is cleared or marketed for Lyme disease or any infectious condition.

Arresting spirochetes: nonthermal extremely low-frequency electromagnetic field exposure suppresses Borrelia burgdorferi motility in vitro
A measured horizon

Ambitious about the future. Precise about the present.

The foundation is real. The pipeline is deliberate. We label the distance between what exists today and what we are working toward.

Available today

FDA-cleared PSWT devices and a commercial foundation in pain and recovery. Separately, the Discovery R&D workflow is operating internally as laboratory research software, not an external offering.

In development

MATRIX Discovery, the operating human-led R&D software pipeline, continues to expand its evidence, modeling, controlled-experiment, and validation workflows.

Long-term

The mat-based MATRIX System and its proposed closed loop, subject to validation, human authorization, and an appropriate regulatory pathway.

Frontiers in Medicine · August 11, 2026

A measurable result, responsibly described.

A platform-selected candidate produced a measurable, replicated in-vitro result on the first day of experiments; peer-reviewed publication followed approximately six months after the initial laboratory work.

This preclinical in-vitro result does not establish a Lyme disease treatment, cure, clinical efficacy, or use in people. No Electrome product is cleared or marketed for Lyme disease or any infectious condition.

Read the research record Open publisher record
A separate AI-native layer

MATRIX Discovery is not GrowthOS.

MATRIX Discovery is the human-led R&D software pipeline described above. GrowthOS is Electrome's internal, human-governed commercialization and operating infrastructure. It helps teams coordinate work; it is not a patient-care or scientific decision-making system.

Human-led research, built for a wider scientific community.

Researchers, partners, and curious visitors can follow the work from commercial foundation to discovery pipeline.

Explore the platform Infection & immunology
Science·Publication