Better structured ECG data, without building the pipeline
Built for researchers and development partners who already work with ECG data - screening candidates, validating a biomarker, studying a drug’s cardiac effects, or building a research data set - and would rather have better structured data than build their own signal-processing pipeline.
Drug discovery, safety,
and cardiac response
Three places where per-beat ECG structure changes what a research team can do with recordings they already collect.
Screen candidates with cardiac-safety data you don’t have to build yourself.
Structured, per-beat ECG output - resolved intervals, rhythm classification, signal quality - gives early-stage discovery teams a cardiac-safety signal to screen candidates against.
Per-beat structure for dose-escalation and cardiac-safety research. RR, PR, QT, and QRS-duration intervals, plus rhythm classification, structured per beat across a study population - so your own review process has more to work with at every dose level.
MaxYield’s per-beat output gives affinity and cardiac-response researchers a consistent, structured input for studying how a compound affects the heart across subjects and time points.
Each one starts from ECG recordings a team is already collecting, and ends with more structure per recording than a peak-triggered pipeline returns.
Trials, biomarkers, and device research
Three more places the same per-beat output applies - all non-diagnostic, all research use.
Reprocessing already-collected ECG recordings with per-beat structure can surface signal a peak-triggered pipeline missed the first time - before a later-stage trial failure, not after it.
Talk to our team →Per-beat interval, rhythm, and signal-quality output gives biomarker research and qualification programs a consistent, structured data layer to build from, without claiming MaxYield itself is a qualified biomarker.
Talk to our team →For device makers still in development, MaxYield-ECG is available for research-use evaluation as an embedded analysis layer - a way to assess technical fit ahead of the regulatory pathway.
Talk to our team →Structured ECG analysis for veterinary and pre-clinical research.
The same per-beat analysis applies to veterinary and equine research, and to pre-clinical, animal-model drug studies - entirely outside human regulatory scope.
Resolved boundaries, intervals, rhythm classification and per-beat signal quality behave the same way on animal recordings as on human ones.
Built for academic and institutional research.
Built for R01 and flexible-grant researchers, university and hospital research programs - including a collaboration and co-authorship model for teams that want to publish.
