Make the invisible
observable.
Time-aligned acoustic recordings, movement and skin-temperature trends. Check the quality before interpreting the signal.
Meet the signals ↗A clearer picture of your gut’s daily patterns.
We’re building AGNI, a gut-health wearable with a companion app, to explore signals alongside meals and everyday context. Working engineering prototype. Clinical usefulness still to be tested.
Play the concept demo ↓Play the story. Jump to a moment.
See why the context belongs beside the signal.

What you ate, when you ate, and how you felt. The first note in a richer record.
No gut score. No food verdict. Just the idea of a better record.
Try the signal + context demo ↗Open a step to explore what we’re building.
Acoustics, motion and skin temperature. First, establish whether the recording is reliable.
A signal alone isn’t the story. Meals and self-reported experiences give it context.
Compare your days—not your body to a universal score. Any useful interpretation still needs validation.
Explore the illustrative demo ↗Three supporting signals. One richer record.
Select a layer to explore.
Abdominal acoustic activity is a signal to investigate—not a digestion score. Reliable capture comes first.
Memory is a terrible lab notebook. A meal, a restless night, a busy afternoon: the context matters. We’re exploring how to keep it beside the signal.
A working prototype is a beginning. Here’s what we can build on—and what we still have to earn.
Time-aligned acoustic recordings, movement and skin-temperature trends. Check the quality before interpreting the signal.
Meet the signals ↗Explore meal-linked acoustic changes and symptom diaries. Optional cycle and sleep logs add context, not automatic predictions.
Follow the evidence ↗No diagnosis, microbiome readout, fertility prediction or sleep staging. More sound does not automatically mean better digestion.
Ask the hard questions ↗A 2026 SonicGuard preprint explores expert-labelled acoustic event detection. It guides a question—not a performance claim for ANTRAM.
Read the preprint ↗A wearable worn on the abdomen.
A record that keeps everyday life attached.
Every useful output still has to be validated.
Investigating whether abdominal sound activity can be captured reliably through daily life.
Signal quality: under validationMovement context helps us study noise and changes in posture.
Surface temperature is a supporting signal. It does not measure core temperature.
Meals, symptoms, stress and sleep. A few notes help make a record worth revisiting.
A repeated association doesn’t establish a cause. Severe, sudden or worsening symptoms need medical care.
Fair questions ↗Scrub a day. Add your context.
Hear a little of what we’re exploring.
These afternoon clusters were deliberately repeated in the demo. In real data, a resemblance would be a question to investigate.
No microphone. No recordings. Everything in this demo stays in your browser.
Three afternoons that look alike can be a question worth writing down. A pattern isn’t a cause or a diagnosis. This example was generated to demonstrate the idea; it says nothing about your health.
Short check-ins.
No signup. Answers stay in your browser.
Independent research informs our questions.
It doesn’t validate AGNI.
We cite the source and its limits.
Listen to two source-labelled research recordings. Compare them with illustrative interference and explore what a working prototype still needs to prove.
Open the sound explorer ↗External recordings, credited to Zahra Mansour (2025), CC BY 4.0. Not ANTRAM sensor results.
Characterise signal capture and the effects of coupling.
Separate acoustic candidates from movement and external noise.
Study wearability and signal quality under an approved protocol.
Test predefined questions against suitable reference measurements.
This is a validation roadmap, not a list of completed clinical studies. No regulatory classification is claimed.
No. AGNI cannot diagnose a condition or identify a trigger food. Its proposed outputs require validation. A repeated association cannot establish cause.
We have a working hardware prototype and are incubated at SRM BioNEST. We are investigating signal quality and feasibility. The day demo is entirely synthetic. Field Notes separately presents credited external research recordings, not ANTRAM measurements.
Abdominal acoustic activity, movement and skin temperature. The usefulness of these signals together is a research question. Skin temperature is not core body temperature, and low motion alone cannot establish sleep.
Yes. They provide prompts to reflect on your own context. Your answers stay in your browser. They do not diagnose symptoms or substitute for medical care.
No. The Listening Room generates its sound in your browser. It has no microphone access and uploads no audio or stickers.
AGNI is in development. The lab notes list is for product updates, not clinical study enrolment. Any future research recruitment will follow the applicable approvals and consent process.
What worked. What didn’t. What we’re trying next.
Occasional, honest updates from the build.
Keep meals, timing and your own observations together. No wearable or signup needed.
Download diary + prep sheet ↓A few prompts to help you explain what has been happening and what you want help with.
Read the appointment guide ↗A working engineering prototype. Next: reliable capture, repeatability and a test of whether the extra signal is useful.
Read the development update ↗We’re looking for practitioners who support adults with recurring digestive discomfort. Our first ask is a short conversation about gaps in the record between appointments.
This is an exploratory partnership enquiry. It is not study recruitment or an offer of a validated clinical tool.