Research & evidence

Built on research.
Driven by innovation.

GutSense is based on a simple principle: when people receive clear feedback about their bowel patterns, they can become more aware of changes and their daily habits.

GutSense AI BIDET mounted on a toilet, photographed diagonally from the front with the side panel visible.

The research question

What did the researchers want to investigate?

The published study investigated usability, self-awareness, and perceived support for behaviors related to gut health in real users.

  1. 01Can direct feedback increase self-awareness?
  2. 02Are traffic light and voice feedback easy to understand?
  3. 03Can feedback influence daily behaviors such as diet and fluid intake?
  4. 04How do users perceive the product's usability?
Campaign graphic: Don't flush your health down the toilet.

The study

From idea to published study

The GutSense technology has been evaluated with real users, both for usability and for how feedback can influence self-awareness and daily behaviors.

  1. 01Phase 1

    12 weeks · 10 participants

    Five participants received AI-based traffic light and voice feedback, while five used the same hardware without feedback. Researchers monitored, among other things, stool form and frequency over time.

  2. 02Phase 2

    31 users · approximately 14 days

    The commercial version was evaluated through user testing, 25 survey questions, and the System Usability Scale (SUS), focusing on comprehensibility, usability, and perceived support for health-related behaviors.

Development work with GutSense technology in a laboratory environment.
Technical test setup during the development of GutSense AI BIDET.
System Usability Scale

91,2

System Usability Scale

Positive responses regarding early awareness of changes in bowel function

87,1 %

Positive responses regarding early awareness of changes in bowel function

Positive responses regarding support for maintaining or improving gut health

77,4 %

Positive responses regarding support for maintaining or improving gut health

Positive responses regarding constipation-related improvement

74,2 %

Positive responses regarding constipation-related improvement

The figures refer to users' responses in the study's survey and the result on the System Usability Scale, respectively. They do not constitute measures of clinical effect, sensitivity, or specificity.

Reality

Installations in Sweden

GutSense AI BIDET is developed in Sweden and is already in use in several homes and businesses.

GutSense AI BIDET installed in a Swedish home, with a focus on discreet integration into the bathroom environment.
A GutSense AI BIDET installed in a modern bathroom environment in Sweden, with a focus on user-friendliness.
Detail image of GutSense AI BIDET installed in a Swedish bathroom, showing the unit's design and placement.
The side panel of GutSense AI BIDET with buttons for the most common functions.

Easy to use

The unit is designed to be easy to use, with clear buttons for the most common functions. All data is collected automatically.

Perspective

Two perspectives – same technology

Same technology. Same evidence. Different perspectives. Choose what suits you.

Campaign graphic: Hear what your body is telling you.

For you

For the curious

For those curious about longevity, gut health, and what the body communicates over time.

Concept view showing an overview panel for healthcare professionals with the status of multiple patients.

For healthcare, research & public sector

For healthcare and care

For healthcare professionals, researchers, municipalities, and regions who want to understand the technology, research, and opportunities for pilot and follow-up.

The Principle

From feedback to insight

The idea behind the research is simple: when you receive clear feedback about your bowel patterns, it becomes easier to notice changes. Increased self-awareness can, in turn, make it easier to reflect on daily habits.

  1. 01Feedback
  2. 02Self-awareness
  3. 03Daily habits
  4. 04Change over time
App view in GutSense showing today's status with color-coded feedback.
App view in GutSense showing the trend of registered observations over time.

The AI analysis

Trained by 7000 observations

The AI model is trained on thousands of observations to provide accurate and relevant feedback.

Campaign graphic: Trained by 7000 observations.
  1. 01

    Collection

    The device collects data on stool form, color, and frequency.

  2. 02

    Analysis

    The AI model analyzes the data and identifies patterns.

  3. 03

    Feedback

    The user receives direct feedback via traffic light signals and voice.

  4. 04

    Insight

    Increased self-awareness and support for healthy habits.

Transparency

What the results mean – and do not mean

The study supports

The results support that clear feedback can be understandable and useful, and show promising signals regarding self-awareness and health-related daily behaviors.

The study does not prove

The study does not show that GutSense diagnoses disease or replaces medical judgment. Nor does it establish clinical sensitivity or specificity for, for example, cancer, diabetes, or other diseases.

Development

From development to everyday life

GutSense AI BIDET is developed in Sweden, with a focus on user-friendliness and integration into daily life.

The development team working with GutSense technology.
Technical review of the GutSense unit during development work.
Campaign graphic: Better health together.

Operations

For healthcare and elderly care

Below are possible use cases that can be explored in pilot — not established clinical results.

Senior living facilities

Explore how feedback and follow-up can be used in daily life.

Home care services

Explore how information can support continuity and awareness of changes.

Individual overview

Monitor development over time at an individual level where relevant and permitted.

Overview for the organization

Visualize compiled information at the operational level when the right conditions are met.

Concept view showing individual status overview in a care panel.
Concept view — shows how individual follow-up could be presented.
Concept view showing a more detailed analysis view in a care panel.
Concept view — showing how compiled information could be presented.

From idea to pilot

  1. 01

    Goal

    What does the operation want to investigate?

  2. 02

    Target group

    Which users and environment are covered?

  3. 03

    Pilot period

    During what time period should the technology be evaluated?

  4. 04

    Measurement points

    Which parameters and user experiences should be monitored?

  5. 05

    Follow-up

    What does the pilot show and what conclusions can be drawn?

Basis for dialogue and procurement

  • Product & function
  • Technical prerequisites
  • Pilot setup
  • Data & integrity
  • Roles & permissions
  • Follow-up
  • Implementation

Responsibility

Data, integrity and responsibility

Use in healthcare requires clear roles, appropriate access, well-considered consents, and a clear understanding of what information is being handled.

For research

  • Study design
  • Measurement points
  • Longitudinal follow-up
  • User behavior
  • Technical development

Reference

Effects of Self-Awareness of Defecation State on Intestinal Health: A Real-User-Based Comparative Experiment

JKIICE · 2026 · Vol. 30, No. 1 · pp. 103–112

Contact

Would you like to explore the possibility?

Together, we can define a delimited pilot setup and the questions that need to be answered before the next step.

Research is part of the journey.

GutSense is not about replacing healthcare. It's about making the body's everyday signals a little easier to understand.