GutScope uses CNN AI classification to turn bowel sounds into actionable clinical intelligence. Five biomarkers from a single 3-minute recording. Non-invasive. Objective. Continuous.
Giving gastroenterologists the first objective measure of gut motility between appointments.
Three-minute recording, five biomarkers, on-device CNN classification. Characterise, never diagnose.
Invasive. $2,000+. Hospital-only. A single snapshot that misses what happens at home, after meals, during stress.
Subjective. Unreliable. Recall bias. No trend data. Gastroenterologists make treatment decisions with no objective data between visits.
Gastroenterologists have listened to bowels since the stethoscope. But it's subjective, inconsistent, and impossible to quantify or trend.
The diagnostic information is in the sound. What's been missing is AI that can hear what the human ear can't — classify, quantify, and trend it automatically.
A dedicated piezo acoustic sensor with embedded CNN AI that classifies bowel sounds into clinically meaningful categories.
~5cm • BLE 5.0 • USB-C • Piezo acoustic sensor
Piezo sensor captures bowel sounds through tissue contact at 44.1kHz. Proprietary bandpass filtering (20-2000Hz) isolates gut motility signals from noise.
An on-device CNN classifies gut sounds into clinically meaningful categories in real time, with confidence scoring on every result.
Designed to characterise gut-motility patterns non-invasively — patterns that today are typically only visible through invasive clinical procedures.
Gut motility + heart rate (BCG) + breathing rate + vagal tone + stress coherence. All from a single 3-minute recording. Clinical-grade report generated automatically.
Every component engineered for clinical-grade acoustic capture, continuous biomarker sensing, and medical-grade durability.
Dual-core 240MHz, BLE 5.0, WiFi, TFLite capable. Runs CNN on-device.
DFR0052 + 35mm bare discs. Tissue-coupled acoustic capture, 20-2000Hz bandwidth.
Auto gain control, low noise, optimised for gut sound frequencies.
9-DOF IMU for BCG heart rate detection and breathing analysis via accelerometer.
BOM: ~$76 AUD (prototype) → ~$28 AUD at volume • Device price: $299-$499 AUD
Hard metrics on held-out data, not marketing claims. Values current as of 24 April 2026.
CNN gut motility accuracy
3-class classification on held-out test set. EfficientNet-B0 backbone, ~5M parameters, TFLite deployable.
Heart rate accuracy (BCG)
Measured across 20 testers, 1,000+ sessions. Ballistocardiography via accelerometer, no optical sensor required.
Annotated acoustic samples
Two consented, de-identified public academic datasets: Kaggle (1,606) + Figshare (2,908).
On-device inference latency
Measured on mid-range Android (app tier). Sub-200ms target envelope on ESP32-S3; on-silicon validation Q3 2026.
We validate the signal processing pipeline with real users before building hardware. De-risk first, then scale.
Shipping on Google Play (iOS in App Review). Real users generate real data. Validates all 5 biomarkers from phone-on-abdomen recordings. Builds CNN training dataset from every session. Generates revenue ($9.99/month) while hardware develops.
Integrating a clinical-grade digital stethoscope partner via BLE for a wider-bandwidth audio source. Validates the unified pipeline architecture before GutScope hardware is ready. Internal testing with practitioners.
First working GutScope prototype built at Griffith University fabrication lab. CNN classifier v1 trained on Kaggle dataset + app recordings. On-device inference via TFLite on ESP32-S3. University partnership formalised.
Simultaneous manometry + GutScope acoustic recording. 30-50 participants. Quantifies CNN classification accuracy against the gold standard. Ethics approval through university research partner. Published results.
TGA Class IIa Software as a Medical Device (SaMD) application. Published validation study as evidence base. Medicare reimbursement pathway for gastroenterology consultations using GutScope. Hospitals buy devices, not subscriptions.
People with IBS globally
14.1% prevalence (Rome IV)
Gut-brain disorder market
Growing to $52.6B by 2030
IBS DTx market by 2033
17.2% CAGR from $420M
Nerva valuation
IBS hypnotherapy — no measurement
Competitive Landscape
Every competitor either treats the brain (Nerva, Zemedy — hypnotherapy, CBT) or stimulates the vagus nerve (Pulsetto, Sensate — VNS devices). None measure the gut's response.
GutScope is the only device that measures what the gut is actually doing — and proves whether interventions work with objective before/after data. Bayer acquired Cara Care (gut diary, no measurement) in Dec 2024, validating the market.
Revenue from day one. Clinical hardware is the long-term play.
$9.99/month
Smartphone gut-brain biofeedback for IBS self-management. Validates biomarkers, builds dataset, generates revenue. App Store + Google Play.
Wellness biofeedback • No TGA required
$79/month
Practitioner dashboard with client management, session sharing, branded PDF reports. Naturopaths, integrative GPs, dietitians.
B2B SaaS • Wellness biofeedback • No TGA required
$299-499 device
Dedicated hardware + $299/month clinical software licence. Hospital procurement. Medicare reimbursement pathway. Something gastroenterologists can prescribe.
TGA Class IIa SaMD • Medicare target
Year 1
$180K
Consumer app + early practitioners
Year 2
$720K
Practitioner scale + pilot GutScope
Year 3
$2.4M
Clinical GutScope + global expansion
Fund the validation study and bring GutScope to market.
Ethics approval, simultaneous manometry + GutScope study (30-50 participants), clinical partner, published results.
Prototype to clinical-grade units. PCB design, injection mold tooling, firmware development, 50-unit pilot run.
ML engineer (Suresh), compute infrastructure, dataset labelling, model validation, TFLite optimisation for ESP32-S3.
TGA SaMD preparation, IP protection (provisional patent), regulatory consulting, 12-month runway extension.
CEO & Founder
29 years health industry. Personal gut surgery recovery drove the mission. Signal processing pipeline architect.
CTO
Hardware + software integration. Stethoscope SDK, GutScope prototype, BLE streaming architecture.
Legal & Regulatory
Corporate lawyer. TGA Class IIa SaMD application lead. IP protection and governance.
AI/ML Lead
AI/ML Masters (QUT). CNN bowel sound classifier. Transfer learning, TFLite deployment, model validation.
Client Services
Practitioner support and account management. Owns the post-signup relationship that turns trial users into long-term paying practitioners.
AiSteth (India)
Hardware R&D collaborator. BLE acoustic stethoscope; units in integration testing.
AI Highway Research (India)
AI R&D collaborator. Scope spans ML research, engineering capacity, training dataset contribution, and validation support.
Griffith University (Queensland)
Fabrication lab access for GutScope prototype build. SME Boost Voucher pathway.
QUT
ARC Linkage co-application. CNN classification workstream. ML research partnership.
Data boundary
Collaboration operates on de-identified public academic training data, shared engineering artefacts, and hardware reference units only. No patient data crosses any border; all patient-signal storage remains on AWS infrastructure in the ap-southeast-2 (Sydney) region.
In discussion with Australia's leading motility centres and universities on a clinical validation study. Protocol development underway for the 2026 roadmap.
We're raising a pre-seed round to fund the GutScope validation study and TGA pathway.
We're seeking a university partner for an ARC Linkage co-application and validation study.
We're looking for gastroenterologists interested in a manometry + GutScope validation study.
CEO & Founder, Bishopp Lab Pty Ltd
Gold Coast, Australia
0401 687 714