Brazilian startup RadarFit makes use of AI to incentivize wholesome habits

Adriemilly Rigo wasn’t feeling nicely. “To inform you the reality, I used to be very sedentary, I didn’t follow sports activities a lot, and I didn’t handle myself very nicely,” she says. 

She had gained weight, felt fatigued and developed persistent migraines. Then her physician advised her she had fatty liver illness, a critical metabolic situation that if left untreated can result in liver failure. 

Rigo was scared. So, when her supervisor requested her if she wished to check out a brand new well being and wellness app provided by their firm, she signed up. After following the wholesome meal recommendation and beginning an train program, her signs are underneath management, and he or she is feeling higher than she has in ages. “It’s been fantastic for me,” says Rigo. “Now I problem myself increasingly on daily basis.” 

Rigo is prioritizing her well being with assist from a generative AI-powered app referred to as RadarFit. Launched in 2020 by a trio of feminine entrepreneurs, the Brazilian tech startup has already amassed multiple million customers with a novel gamification technique designed to incentivize wholesome habits.   

Whereas it serves people, too, RadarFit’s focus is offering a complete well being and wellness program to company prospects. “For firms, we clear up the issue of excessive prices from worker well being issues and having to speculate lots in well being advantages,” says Chief Govt Officer Jade Utsch Filizzola.

Like many international locations experiencing fast urbanization, Brazil is grappling with excessive charges of coronary heart illness and metabolic situations, reminiscent of diabetes and non-alcoholic fatty liver illness, often known as steatohepatitis. The prevalence of non-alcoholic fatty liver illness (NAFLD) in Brazil is estimated to be round 35.3 p.c, the very best in Latin America, in comparison with 25 p.c worldwide, in accordance with the World Burden of Illness database. Whereas expensive to deal with and doubtlessly lethal, many persistent situations, together with NAFLD, might be prevented – and even reversed – with correct food regimen and train, in accordance with the Journal of Hepatology. That’s one cause why extra firms like Rigo’s have signed up for RadarFit. In a couple of brief years RadarFit has enrolled over 60 company prospects – and is on monitor to have 80 business shoppers by the tip of this 12 months.

Powered by the Microsoft Cloud, RadarFit runs on Microsoft’s Azure OpenAI Service and makes use of Microsoft Copilot Studio to automate advertising and marketing, and analyze information and consumer suggestions.

The affect of RadarFit on the well being of workers has “been a giant shock to us,” says Samuel Lopes Fontes, who oversees finance and HR at Cooabriel, Rigo’s employer. Below persistent however pleasant prompting from the RadarFit app, says Lopes Fontes, “individuals who claimed they didn’t have time to go to the fitness center began exercising and waking up earlier to allow them to handle themselves.” In one other turnaround, colleagues are asking the corporate to inventory extra recent fruit and greens within the worker kitchen.  

Two years in the past, 27 of Cooabriel’s 470 workers signed up for RadarFit. Now as phrase has unfold, 59 are participating, and within the first six months of this 12 months, well being complaints have fallen by half, says Lopes Fontes.

Prompted by RadarFit’s AI-generated app, Lopes Fontes, who, like Rigo, additionally developed fatty liver illness (though his was caught a lot earlier) improved his food regimen, began operating extra and says his physician has since declared his illness in remission.

After all, there are literally thousands of apps and web sites doling out well being and wellness recommendation, and lots of extra tens of millions of people that aspire to dwell more healthy life however fail to comply with via.

That’s the place gamification comes into play. “The foundation explanation for the problem of attaining a wholesome life is the dearth of rapid outcomes,” says Filizzola. Even when an individual places in 60 minutes of train or eats a wholesome meal, “they don’t immediately get the well being and physique they need,” she says. “This lack of rapid reward is what triggers the dearth of motivation.”

A woman leans against a rail with plants in the background
“For firms, we clear up the issue of excessive prices from worker well being issues and having to speculate lots in well being advantages,” says Jade Utsch Filizzola, Chief Govt Officer of Brazil’s RadarFit. Picture by Avener Prado.

So RadarFit makes use of generative AI, mixed with a factors system, to incentivize more healthy decisions. Anonymized consumer information captured from the uploaded photos of meals and different actions is used to generate “tags” – or labels – that generate customized suggestions based mostly on every wholesome behavior registered by customers. An avatar that “learns” from consumer enter recommends meals and bodily exercise tailor-made to particular person well being targets. Factors awarded for wholesome decisions might be exchanged for donations to social or environmental causes or redeemed for merchandise like home equipment and electronics.

Totally different level classes acknowledge that some duties are tougher than others. For instance, a 15-minute exercise earns 3 factors, whereas a 60-minute or longer exercise might be price 9 factors. A wholesome meal can earn 31 factors, highlighting the significance of wholesome consuming, whereas duties like consuming a glass of water, an essential however simpler process, earns 5 factors.

The RadarFit app additionally permits customers to trace their progress in comparison with colleagues, the form of pleasant competitors that analysis has proven can act as an additional spur to motion (and is acquainted to anybody who has practiced extra after evaluating their scores to different learners on common language apps). Customers may choose out of firm competitions.

RadarFit Chief Expertise Officer Tatiany Duarte, who designed her first online game at age 15, says combining generative AI with gamification turns what could possibly be a dreaded process into one thing enjoyable and interesting. It “makes it rather more playful,” she says.