AI for cardiac diagnostics,
built to be trusted.
We build the AI inside Holter, ECG and echocardiography software: arrhythmia and AFib detection, false-alarm reduction, Holter triage, and automated echo measurements. Validated on clinical data and engineered for IEC 62304 and SaMD.
From raw waveform to a decision
clinicians trust.
Holter & patch
ectopy detection
& view classification
for real-time use
Cardiac AI across the
diagnostic pathway.
Signal to decision, on the leads and devices you already run, integrated into your product.
Arrhythmia & AFib Detection
Beat and rhythm classification on 12-lead, single-lead, Holter and patch ECG, tuned for sensitivity where a missed event carries clinical cost.
False-Alarm Reduction
Cut the nuisance alarms that erode clinician trust and get features switched off, without missing the true events that matter.
Holter & Long-Term Monitoring
Automated triage of multi-day recordings so technicians review the small fraction that needs a human, not every hour of tape.
Echocardiography AI
Automated measurements such as ejection fraction, view classification and quality checks on DICOM echo, inside your reporting workflow.
ECG Signal Processing
Denoising, delineation and feature extraction that make downstream models robust to motion, baseline wander and real-world noise.
Edge & Device Integration
Inference on the monitor, patch or bedside device, integrated through your SDK, DICOM or HL7/FHIR so the AI ships inside the product.
Cardiac AI, validated the way regulators expect.
In cardiology a false negative can be a missed diagnosis. We build and prove models for that reality, not for a leaderboard.
Data & Claim Scoping
We define the clinical claim (for example AFib detection), the leads and devices in scope, and audit the quality and labeling of your data.
Signal Pipeline & Labeling
Denoising, beat delineation and clinician-reviewed labels, benchmarked against references such as MIT-BIH and PTB-XL.
Model & Clinical Validation
Training and evaluation with sensitivity, specificity and per-arrhythmia analysis on held-out patients, not held-out beats from the same patient.
Integrate & Monitor
Deployment to device or cloud, human-in-the-loop review, and drift monitoring, with IEC 62304 lifecycle documentation throughout.
Cardiac AI is unforgiving. We build for that.
The gap between a promising notebook and a trusted cardiac feature is validation, integration and regulatory rigor. That gap is where we work.
Sensitivity where it matters most
The cost of missing an arrhythmia is not the same as a false positive. We choose the operating point around clinical cost, not a symmetric metric.
Validated on real patients
A model that has seen a patient in training will flatter itself on that patient in testing. We design the splits to stop that.
Built to certify
The engineering should never be the reason a cardiac feature stalls in regulatory review. We remove that risk up front.
Fits your device
The AI has to live where the signal is, whether that is a Holter recorder, a patch, or a hospital monitor.
Cardiac AI, answered.
What teams building Holter, ECG and echo software ask us first.
What cardiac AI can you build?
Arrhythmia and AFib detection, ectopy and rhythm classification, false-alarm reduction, Holter triage, and echocardiography measurements such as ejection fraction, across 12-lead, single-lead, Holter and patch data.
Do you work with Holter and patch ECG, or only 12-lead?
Both. We handle 12-lead, single-lead, multi-day Holter and wearable patch recordings, including the denoising and delineation that real-world signals need.
Can you build echocardiography (echo) AI?
Yes. Automated measurements, view classification and image-quality checks on DICOM echo, integrated into your reporting workflow.
How do you validate cardiac models?
Patient-level train, validation and test splits, public benchmarks such as MIT-BIH and PTB-XL, and per-arrhythmia sensitivity and specificity with subgroup analysis, so results reflect new patients rather than memorized beats.
Will this pass regulatory review?
We build to IEC 62304 and ISO 14971 and produce the validation evidence and documentation a SaMD submission needs, so clearance is limited by your clinical study, not by the engineering.
How do we start?
Book a free feasibility assessment. We scope the clinical claim, your signals and devices, and your regulatory market, then map an honest path to a validated model.
Building Holter, ECG or echo software?
Let's build the AI inside it.
Book a free feasibility assessment. We'll review your signals, your data and your regulatory target, and map an honest path to a validated cardiac model.