How the neurofit of small businesses uses AI to combat chronic stress

• Neurofit has created an application that incorporates somatic exercises to help treat chronic stress.
• The company uses AI to help tasks such as coding and translation of language.
• This article is part of “how AI changes everything: small business”, a series exploring how small businesses use AI to succeed.

Whether it’s work or family pressures, an unexpected fear of health or a sudden change of life as a great decision, we all feel stress.

But there is a big difference between short -term stress and chronic stress, which accumulates over time and potentially affects physical health.

Many mindfulness applications are effective in fighting acute stress, but may not be so useful for chronic stress. Neurofit, an application of mental well-being that focuses on the movement, tries to fill this gap.

The application, developed by the team and woman team Andrew and Loren Hogue, exploits neuroscience and what they call the “physical form of the nervous system” to help users reduce stress and improve mental clarity through somatic exercises. Somatic is an area of ​​motion studies and bodywork which focuses on physical perceptions and experiences of the body, emphasizing conscious movements that increase body-spirit connection.

With only one team of three people, Neurofit relies on AI to deliver its program and hire users. The small business uses AI in three key ways: mental health coaching, coding and applications development and language translation.

Andrew Hogue, a serial entrepreneur with a software engineering training, Neurofit co-founded in 2020 at the COVVI-19 pandemic when the anxiety and depression rates have flown. Five years later, many people are still recovering from this collective trauma.

Loren Hogue, former lawyer and master somatic coach, has followed training and learned that chronic stress affects physical health as much as mental health.

Neurofit uses methods based on neuroscience and evidence to combat chronic stress and professional exhaustion, anchoring its program on somatic movements and proven mindfulness activities to reduce stress.

The Neurofit application has a daily recording function where users evaluate what they think of different parts of their lives, including career and family, and collects this data in complete safety to understand “the fingerprint of stress” of each user, said Andrew Hogue.

The application compiles biometric data, such as heart rate and recovery of the nervous system, and combines this with information on the stress profile and the physiology of each user to provide personalized advice and information. He analyzes the unique stress patterns of a user over time and exploits and coaching to the needs of the individual.

Help for the development, coding and translation of products

Neurofit also uses AI for coding. Andrew Hogue used it to develop an application specifically for Apple watches, which he had never done despite his experience as a software engineer. He said the AI ​​has reduced the learning curve, the guiding in the coding process to develop an Apple Watch application in a few days to complete the existing iOS application of Neurofit.

Neurofit also adopted AI to reach a global audience.

The company uses Chatgpt 3.0 – A generative AI tool that can create new contents from practically all source elements – to translate mental health and well -being articles into the application content library in more than 40 different languages. Technology allows Neurofit to translate content faster and more affordable than using human translators, saving the business from $ 1,500 to $ 2,000 for each language, Andrew said.

Lauren Houge said that AI also helps neurofit increase accessibility and equity.

“By lowering the cost of care, the tools led by AI are ready to serve much more diverse populations from anywhere, not just experienced or privileged groups,” she said.

But the adoption of the AI ​​was not infallible. Technology initially produced lower quality linguistic translations, but they have improved over time with better data inputs. It has experienced a similar problem with its content library, because Chatgpt 3.0 initially provided lower quality results because the team added more links, visual and graphics internal to its content pages. Andrew Hogue said these problems had been solved over time.

This is just another reminder that you cannot count solely on AI tools; A human should always be in the loop.

Hogues said it was essential for small businesses to start with small test cases, look for repetitive tasks to easily automate and use technology to increase – rather than replace – human empathy and connection.

Loren Hogue has added that ethical and confidentiality guarantees are not negotiable, especially in health care.

“Robust data protection must be integrated into each step, from the design phase, so that users do not feel safe to share biometric information,” she said.

In the end, they believe that the potential of AI has a positive effect on the mental health of people can prevail over possible risks.

“We believe that AI can transform mental health care into a more proactive, holistic, preventive and personalized field,” said Loren Hogue, “who not only supports immediate mental and emotional well-being, but also long-term physiological resilience and longevity”.