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The algorithm layer for wearable health

Rhythmic AI for Engineering and Health. Clinical-grade biosignal processing, delivered as a simple API. Every wearable device needs algorithms. We provide them.

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16+
Algorithm Modules
>95%
AFib Sensitivity
4
Signal Modalities
<200ms
Response Time
The Problem

The bottleneck in the $350B digital health industry isn't hardware. It's algorithm validation.

Hardware is solved
PPG sensors cost <$1. Chips are commodity. Form factors are everywhere.
Talent shortage
<5,000 biosignal+AI PhDs globally. Companies wait 12-18 months to hire one.
Reinventing the wheel
Each wearable company spends $1M+ building the same algorithms from scratch.
And most still fail
Withings AFib: 58% sensitivity. Devices ship with algorithms that endanger users.
Our Difference

Every wearable device captures signals from the human body. Very few can understand them. We built the algorithms that turn raw data into clinical truth — so you can focus on building the product your users need.

How It Works

One API call.
Clinical-grade results.

Integrate in minutes. Send raw sensor data from any device. Receive structured health insights with confidence scores. Cloud API for development. Edge SDK for on-device.

  1. 01Sign up and receive your API key
  2. 02Send raw biosignal data to the relevant endpoint
  3. 03Receive structured JSON with metrics, confidence, and clinical flags
  4. 04Display results in your app, device, or clinical system
  5. 05Scale from prototype to millions of devices
detect_afib.py
import raeh

client = raeh.Client("rk_live_...")

result = client.ppg.detect_afib(
signal=raw_ppg,
sample_rate=128,
duration=30
)

# Response in ~200ms
# {
#   "afib_detected": true,
#   "confidence": 0.97,
#   "heart_rate": 112,
#   "signal_quality": 0.94
# }
Capabilities

Built for every stage of health intelligence.

Multi-Modal Processing
PPG, ECG, EEG, and IMU — processed through a single unified platform. No other provider covers all four modalities.
Cloud API
RESTful endpoints for real-time streaming and batch processing. Integrate in minutes. Scale to millions of requests.
Edge SDK
Same algorithms compiled for ARM Cortex-M, ESP32, nRF52, and RISC-V. On-device processing for privacy and latency.
Device Agnostic
Works with any sensor from any manufacturer. No hardware lock-in. Your device, our intelligence.
Validated Science
Every algorithm benchmarked against PhysioNet, MIMIC-III, IEEE SPC, and CapnoBase. Reproducible. Transparent.
Regulatory Ready
Validation methodology designed to support FDA 510(k) and CE Mark submissions for your device.
Algorithm Portfolio

16 modules. One platform.

Each module is a separate API endpoint. Subscribe to what you need. Validated on recognised clinical datasets.

/v1/ppg/afib
AFib Detection
>95% sensitivity. PPG & ECG. Real-time or batch.
/v1/ppg/heart-rate
Heart Rate
Motion-robust. Low MAE during activity.
/v1/ppg/cadence-lock
Cadence Lock Mitigation
Spectral separation preventing HR-step locking.
/v1/ppg/sqi
Signal Quality Index
20–30% more usable data from every session.
/v1/ppg/respiratory-rate
Respiratory Rate
PPG modulation + IMU fusion.
/v1/ppg/spo2
SpO2 & Perfusion
Motion-compensated dual-wavelength.
/v1/ecg/morphology
ECG Morphology
QRS, ST, T-wave. 12-lead reconstruction.
/v1/ecg/hrv
HRV & Autonomic
Full suite. Time, frequency, nonlinear. Stress scoring.
/v1/ppg/vascular-age
Vascular Age
Arterial stiffness from single-site PPG.
/v1/ppg/blood-pressure
Blood Pressure
Cuffless trending via PTT.
/v1/eeg/process
EEG Processing
Artifact removal. Spectral decomposition.
/v1/eeg/sleep
Sleep Staging
Multi-modal fusion. Full hypnogram output.
/v1/imu/activity
Activity & Gait
Steps, fall detection, fall risk scoring.
/v1/ppg/menstrual-cycle
Menstrual Cycle
Cardiovascular biomarkers. No temp sensor.
/v1/ppg/beats
Beat Detection
Precise timestamps. Per-beat confidence.
/v1/fusion/health-score
Fusion Engine
Unified health score from all modalities.
Market Opportunity

A $15 billion addressable market
with zero dominant API player.

$135B+
Wearable health market by 2028
500M+
Devices shipped annually
3,000+
Companies needing algorithm APIs
$175B+
Connected health market by 2030
TAM: $15B
Algorithm/intelligence layer across all wearables
SAM: $5B
Companies that would pay for third-party APIs
SOM: $500M
Achievable share within 3 years via API + Edge SDK
Pricing

Scale with confidence.

From first prototype to global deployment. Predictable pricing. No algorithm team required.

Starter
$2,000
per month
  • 100K API calls
  • Any 3 modules
  • Email support
  • Sandbox environment
Get Started
Recommended
Growth
$10,000
per month
  • 1M API calls
  • All 16 modules
  • Priority + Slack
  • Analytics dashboard
Get Started
Enterprise
$250–500K
per year
  • Unlimited calls
  • All modules + Edge SDK
  • Dedicated engineer
  • Custom SLAs
Contact Sales
Strategic
$1M+
per year
  • Everything above
  • White-label options
  • Co-development
  • Early module access
Let's Talk

Edge SDK: $2–$5/consumer device · $5–$15/medical device · $15–$50/clinical system

Why RAEH

The category doesn't exist.
We're building it.

Existing providers sell hardware, single algorithms, or enterprise-only solutions. Nobody provides the full algorithm intelligence layer as a self-serve API.

ValencellPhilipsFibriCheckSensor BioRAEH
What they areSensor + algorithm bundleEnterprise PPG processingSingle algorithm (AFib only)Raw data capture platformFull algorithm API platform
Self-serve API
Multi-modalPPG onlyPPG onlyCamera PPGPPG + raw export✓ All four
Algorithm modulesPartial1410 (data only)16+
Cloud + EdgeCloud only
Device agnosticOwn sensorPartialSmartphone onlyOwn device only✓ Any device
Startup pricing✓ From $2K/mo
Core valueHardware salesHospital contractsRegulatory certData collectionAlgorithm intelligence layer
Growth

Built for platform scale.

Revenue compounds across API subscriptions, per-device royalties, and data licensing.

YEAR 1
$1–3M ARR
Valuation: $20–40M
Platform live. 50–100 subscribers. First Edge SDK deployments. Seed funding closed.
YEAR 2
$5–15M ARR
Valuation: $100–250M
200–500 subscribers. Enterprise deals. Edge SDK on 1–5M devices. Series A.
YEAR 3
$20–50M ARR
Valuation: $300–750M
FDA/CE certifications. 5–20M devices. Data licensing. Series B.
YEAR 4–5
$100–200M+
Valuation: $1–3B+
Default algorithm layer for wearable chips. 20–50M+ devices. IPO-ready.
Get Started

Build on truth.
Ship with confidence.

Whether you're building a smartwatch, a clinical monitor, or the next generation of health platforms — RAEH provides the algorithm foundation you can trust.

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