AI-assisted research

Discovery R&D,built AI-native.

Electrome connects scientific evidence, AI-assisted research, signal modeling, protocol design, controlled experiments, statistical validation, and documentation in one human-led learning loop.

Research workflow
01EvidenceGround the question
02ComputeRank and model
03ExperimentTest in the lab
04ValidateReplicate and review
05DocumentPublish or stop

Conceptual research workflow. AI supports the work; scientists own the decisions.

One platform, two realities

A commercial foundation. A research engine.

Pain is Electrome's first commercial focus. FDA-cleared devices establish a real operating foundation while Discovery R&D investigates what bioelectric medicine could become.

Available today

FDA-cleared PSWT devices

ActiPatch® and RecoveryRx® are commercial devices for their labeled pain uses. This is the current product foundation.

Current products
Research platform

MATRIX Discovery

Operating internal AI-native R&D software for evidence, candidate ranking, modeling, controlled laboratory experiments, replication, publication, and documentation, all under a human scientific release gate.

Explore the science
Discovery R&D pipeline

From a research question to evidence that can stand up to review.

  1. 01Available today

    Define the research question

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

  2. 02Available today

    Discover the literature

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

  3. 03Available today

    Extract and rank evidence

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

  4. 04Available today

    Generate and challenge hypotheses

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

  5. 05Available today

    Model and simulate signals

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

  6. 06Available today

    Design a controlled protocol

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

  7. 07Available today

    Run hardware-controlled experiments

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

  8. 08Available today

    Validate and replicate

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

  9. 09Available today

    Publish and document

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

  10. 10In development

    Expand the learning loop

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

Specialized AI tools support the research workflow.

MATRIX Discovery supports research under human scientific oversight and is not an autonomous scientist. It does not diagnose, monitor, or treat a person.

Evidence grounding

AI-assisted tools help search, extract, compare, and rank scientific evidence while preserving links to source material.

Research workflow support

Specialized AI tools can support parallel and sequential research tasks as scientists direct the workflow.

Modeling and simulation

Mathematical and statistical models help scientists compare candidate signal-response relationships before experiments.

Human scientific review

Scientists define the question, inspect assumptions, operate experiments, interpret findings, and decide what advances.

Maturity map

Clear about what exists and what does not yet.

Available today

Commercial and research foundation

  • FDA-cleared PSWT devices for labeled pain uses
  • MATRIX Discovery internal R&D software
  • AI-assisted evidence, candidate ranking, and protocol work
  • Controlled wet-lab experimentation and statistical review
In development

A deeper learning loop

  • Expanded research programs
  • Stronger model-to-experiment feedback
  • Additional validation and documentation workflows
  • MATRIX System mat research and bench prototyping
Long-term vision

Programmable therapeutic delivery

  • Proposed Scan → Diagnose → Compute loop
  • Human-authorized Treat → Measure → Adapt
  • Treat again only after review
  • Validation and an appropriate regulatory pathway before use
First end-to-end proof point

A pipeline-selected candidate reached peer review.

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.

Frontiers in Medicine · August 11, 2026Preclinical · In vitro · Research only

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

Erik A. Nilsen, Heather Adkison, John R. Martinez, Nevena Zubcevik, and Monica E. Embers

Division of Immunology at the Tulane National Biomedical Research Center, Tulane University

MATRIX Discovery and GrowthOS serve different purposes.

MATRIX Discovery is internal R&D software supporting therapeutic research. GrowthOS is Electrome's separate internal, human-governed commercialization and operating infrastructure. It coordinates company work; it is not a patient-care or scientific decision-making system.

Follow the vision from foundation to validation.