Patient-specific setup
Classification performance may depend on individual baseline data, calibration periods, or patient-specific parameters.
Discuss licensing ARRHYVA
Novel Cardiac Intelligence
From any ECG to actionable insight
Patient-independent intelligence that integrates seamlessly into your workflow.
Input pathway
Compatible signal in. Existing workflow preserved.
Designed to sit behind compatible ECG hardware so established monitor, patch, and wearable workflows can remain intact.
The commercial problem
Reduce deployment friction without replacing the partner’s hardware.
Arrhyva is positioned as a software intelligence layer. The commercial question is not whether a partner should replace its platform—it is whether a patient-independent classifier could strengthen an existing ECG workflow.
Population-derived classification
One architecture designed to classify a new patient without storing patient-specific training parameters.
Where it may fit
Four partner lanes. One protected software layer.
Each pathway begins with a different product and regulatory question. The site now surfaces that question before asking a prospect to contact Arrhyva.
01
Ambulatory ECG
Explore a classification layer for Holter and long-duration monitoring workflows.
Evaluation focusBeat-level analysis and review efficiency
Discuss this pathway 02
ECG patches
Evaluate patient-independent classification within continuous remote-monitoring pipelines.
Evaluation focusNew-patient deployment and scale
Discuss this pathway 03
Clinical platforms
Assess integration with hospital ECG systems, reporting tools, and connected monitoring environments.
Evaluation focusInteroperability and validation planning
Discuss this pathway 04
Compatible wearables
Investigate PVC and PAC classification pathways for ECG-enabled consumer hardware.
Evaluation focusSignal quality and intended-use fit
Discuss this pathway Evidence with boundaries
A promising research signal, presented for serious review.
The public site should make the result easy to understand without presenting it as a cleared clinical claim.
Open the evidence frameworkInventor-reported PVC sensitivity92.7%
MIT-BIH evaluation with patient-separated records. Independent replication and product-specific validation remain necessary.
MeasuredMethod and dataset stated
SeparatedTraining and test patients distinguished
BoundedNo FDA-clearance or clinical-use claim
Technology with a human purpose
Intelligence designed around the people delivering and receiving care.
From a patient’s first recording to clinical review and connected hospital systems, Arrhyva is designed to support the broader cardiac-care environment.
Patient + physician
Confidence begins with a clearer first signal.
Bedside care
Built to complement clinical expertise.
Connected teams
One intelligence layer across the ecosystem.
Integration architecture
Show the role of the technology—not just the algorithm.
A qualified partner should be able to see the proposed workflow in seconds.
01
ECG signal
Compatible hardware input
02
Signal isolation
Structured cardiac signal
03
Arrhyva engine
Beat classification layer
04
Partner workflow
Review, reporting, or product output
Partner pathway
A clear route from first conversation to commercial structure.
The process is deliberately NDA-first and evaluation-led.
01DISCOVER
Fit discussion
Define the product environment, intended use, and evaluation question.
02PROTECT
Confidentiality
Put an NDA in place before patent-sensitive or architectural details are shared.
03REVIEW
Evidence review
Review public research context, methodology, limitations, and validation priorities.
04EVALUATE
Partner-data evaluation
Plan an evaluation using an appropriate proprietary or representative dataset.
05INTEGRATE
Integration planning
Map software interfaces, workflow, regulatory responsibilities, and success criteria.
06STRUCTURE
Commercial structure
Discuss licensing, field restrictions, or co-development with qualified counsel.
01Fit discussion+
Define the product environment, intended use, and evaluation question.
02Confidentiality+
Put an NDA in place before patent-sensitive or architectural details are shared.
03Evidence review+
Review public research context, methodology, limitations, and validation priorities.
04Partner-data evaluation+
Plan an evaluation using an appropriate proprietary or representative dataset.
05Integration planning+
Map software interfaces, workflow, regulatory responsibilities, and success criteria.
06Commercial structure+
Discuss licensing, field restrictions, or co-development with qualified counsel.
Qualified partner discussions
Evaluate whether Arrhyva fits your ECG platform.
Begin with product fit, evidence requirements, and the intended evaluation pathway.