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Biomedical Signals & Time-Series Intelligence
Turning complex physiological signals into reliable, actionable intelligence.
We build intelligent systems that process, interpret, and learn from physiological and wearable data — from ECG and PPG to multimodal sensor streams.From Physiological Signals to Intelligence
Physiological data is complex, noisy, and highly individual. We build signal-processing and machine-learning systems that transform raw measurements into reliable physiological insights.
Signal Intelligence
Processing the signal
- Signal preprocessing
- Noise & artifact handling
- Signal quality assessment
- Feature extraction
- Time-series analysis
AI & Analytics
Understanding the signal
- Detection & classification
- Anomaly detection
- Physiological estimation
- Pattern recognition
- Multimodal signal fusion
Real-World Applications
Making the intelligence useful
- Health monitoring
- Wearable intelligence
- Cardiac analytics
- Activity & physiological analytics
- Decision-support systems
Have complex physiological data that needs to become actionable?
Let’s build the intelligence around it.
Our Projects
Applied intelligence built around real-world physiological data.
Petal
Continuous Physiological & Wearable Intelligence
Intelligent analysis of physiological and wearable sensor data for continuous monitoring and personalized insights.
Wearables
Physiological Signals
Time-Series
Acorai
Cardiovascular Signal Intelligence
A physiological signal intelligence system focused on extracting meaningful cardiovascular information from complex biosignals.
ECG
Cardiac Signals
Time-Series
Other works
AI Cardiac Signal & Time-Series Intelligence
An AI-driven signal intelligence pipeline for processing, stabilizing, and interpreting multimodal cardiac signals.
ECG
PPG
PCG
Technologies We Work With




WFDB





Frequently Asked Questions
We work with ECG, PPG, PCG, SCG and IMU/accelerometer data, along with other physiological time-series from clinical devices, wearables and research recordings.
Yes. Real-world data is where most of the work happens. We design preprocessing, artifact handling and signal-quality assessment so that downstream analysis relies on usable signal.
Yes. We build multimodal pipelines that align and fuse signals such as ECG with PPG, PCG, SCG or motion data, so each modality contributes where it is most informative.
Yes. We develop both and evaluate them together, because a model’s behaviour depends on how the signal is prepared before it reaches the model.
Yes. We can start from your existing recordings, annotations, code or prototype, review what already works, and build forward from there rather than starting over.
Let's Get to Know Your Goals and Build a Scaling Strategy Together!
Have an image, dataset, or medical imaging challenge you want to solve?
Let’s turn it into intelligence.