Consulting & Development

AI and algorithm development for cardiac health.

We build the algorithms behind heart-health products — wearables, ambulatory and implanted (CIED) monitors, remote platforms — and help you decide what to build. Your data, your IP.

Get in touch See what we do ↓

wearable · ambulatory · CIED · remote monitoring

Fluent across the cardiac monitoring stack.

From the device generating the signal to the clinic acting on it, we work across the connected branches of computational cardiology — and understand how data moves between them.

CIED

Cardiac implantable electronic devices

Pacemakers, ICDs, CRT, and insertable cardiac monitors — analytics on EGMs, device diagnostics, and remote transmissions, from arrhythmia adjudication to lead and battery trends.

Ambulatory

Ambulatory cardiac monitoring

Holter, patches, event recorders, and mobile cardiac telemetry — arrhythmia detection and AF-burden quantification, artifact rejection, and report automation that scales with volume.

Wearable

Consumer & wearable monitoring

Smartwatch ECG and PPG at consumer scale — AF detection, signal quality in free-living conditions, and the validation studies that turn a wellness feature into a clinical-grade claim.

RPM

Telemetry & remote monitoring

The layer that ties it together — triage of incoming transmissions, alert prioritization and false-alarm reduction, and summarization that keeps clinic workload proportional to true clinical risk.

Working near cardiac data — ECG-adjacent sensors, cardiology workflows, population screening? The same toolkit and domain judgment apply.

A decade+ in computational cardiology

Published research in Nature Medicine

FDA products taken through 510(k) clearance

AI depth ML, LLMs & statistical analysis

Hands-on development — with the strategy to aim it.

Algorithms

Algorithm & model development

Arrhythmia detection, AF burden, risk prediction, signal quality, denoising — on ECG, PPG, and EGM. Prototype to production.

Validation

Validation & study design

Endpoints, pre-specified analysis plans, performance stratified by rhythm and noise — evidence that stands up to reviewers and regulators.

Clinical LLM

LLM & clinical workflow AI

Summarization, retrieval, and clinician-facing workflows over cardiac and clinical data. We've shipped a production LLM product in this industry.

Diligence

Technical due diligence

Independent evaluation of cardiac AI claims, datasets, and validation evidence — for investors, acquirers, and the founders preparing for both.

Advisory

Strategy & technical advisory

Feasibility, build-vs-buy, roadmap, and data and validation planning — focused technical guidance to point the work in the right direction before you commit budget.

Deep in AI. Deep in cardiac.

No ramp-up

More than a decade in computational cardiology. We already know the signals, the devices, and the annotation conventions.

Published and shipped

Highly cited machine-learning research in Nature Medicine; a first-of-its-kind LLM product in the device-clinic workflow.

Through to clearance

Experience taking cardiac AI products through FDA 510(k) clearance — pre-specified metrics and documented failure modes, built to survive peer review and regulatory scrutiny.

Senior only

Every engagement is scoped and led by the founder, with hand-picked senior developers when a project needs more hands.

A short path from conversation to deliverable.

Discovery call

A free 30-minute conversation with the founder about your data, your product, and where you're stuck. You leave with a candid read on feasibility either way.

Scoped proposal

A written plan with fixed deliverables, timeline, and pricing — so you know exactly what you're buying before any work begins.

Delivery & handoff

Code, documentation, and analysis your team owns outright, with knowledge transfer so the work keeps compounding after the engagement ends.

Tell us what you're building.

Answer a few quick questions and we'll get back to you within a couple of business days. No call required.

Get in touch