Most health apps count calories and steps. BhAi looks at a person's body, meals, and daily patterns and tells you why they're tired, stuck, or falling off track then coaches them through it, every day, automatically. Gyms use it to keep members longer. Employers use it to cut burnout. Insurers use it to catch risk earlier.
Straight from founder Sunny Arora: the problem hiding inside every team's health data, what BhAi actually does, and whether it's built for you.
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This is the clearest way to understand BhAi: a member takes a photo of dinner, and BhAi turns it into a real decision not a generic tip.
Member photographs dinner, right inside the app they already use daily.
Not generic nutrition, facts checked against this person's own targets and history.
A clear next action, not just information so the plan actually gets followed.
This same intelligence runs underneath onboarding, daily check-ins, and ongoing coaching see the full technical picture in the Platform section below.
The short version is above. Here's the detail for anyone evaluating the platform seriously.
New members answer everything in one continuous flow instead of six separate forms, so setup takes minutes, not sessions.
BhAi maps each person's body and history to one of several known patterns stress-driven, gut-related, hormone-related, or metabolic so the guidance fits the actual cause, not just a calorie target.
After onboarding, BhAi keeps reading meals, checking in daily, and adjusting the plan so people stay engaged instead of dropping off after week two, which is where most health apps lose people.
A prediction model trained on 9 years of real coaching data, built to catch the root cause behind someone's energy, weight, or health issue rather than just tracking symptoms.
Use the tabs below to jump straight to what matters for your role, or scroll through all three.
The problem: members lose motivation and cancel. BhAi gives them a reason to stay daily, personal coaching under your own brand, with no extra coaching staff needed.
The problem: generic wellness perks go unused. BhAi gives every employee a plan that's actually theirs, so participation and outcomes are things you can point to, not guess at.
The problem: prevention programs are passive content nobody opens. BhAi actively coaches policyholders day to day, so risk factors get caught and acted on earlier.
Generating recurring revenue with high protocol adherence.
Validating the white-label distribution path.
Approved: AWS Activate and Google for Startups.
For smart-textile biometric ingestion under patent number IN 202541131196.
Working from inside the fitness industry for nine years, we already knew exactly where members drop off. BhAi let us act on that immediately instead of guessing.
Each chart shows the share of the cohort in the Red (high-risk), Yellow (medium-risk), and Green (low-risk) bands at the start of the program versus one check-in later, as BMI and waist-to-hip ratio improve.
Starting week: Red 33% · Yellow 33% · Green 33%. Next check-in: Red 30% · Yellow 30% · Green 40% the Green (low-risk) band grows as more members move out of Red.
Starting week: Red 33% · Yellow 0% · Green 67%. Next check-in: Red 30% · Yellow 0% · Green 70% most of this cohort sits in Green already, and the Red share keeps shrinking.
Tonabolic is Body Heal's founding pilot partner: a 9-year-old fitness business co-founded by Ashrita, run from inside the exact problems BhAi solves: drop-off, adherence, and generic guidance.
That's a structural advantage, not just a testimonial. Most partners spend the first few months of a pilot discovering their own retention gaps. An anchor partner who already knows those gaps going in means faster protocol tuning, faster feedback loops, and a shorter path from pilot to proof for every partner category that follows.
Your gym can position itself as a more complete health partner by extending from training into AI-guided lifestyle and metabolic intelligence.
Employers can present a more thoughtful employee health program with stronger personalization, better relevance, and more measurable engagement.
Insurers can move from generic wellness communication toward a more intelligent prevention narrative with better long-term value perception.
A closer look at the meal-analysis example from earlier for anyone evaluating the AI itself.
A general model can usually recognize that this is a healthy-looking salad and offer broad nutrition advice, but the output often stays at the level of description and generic recommendations.
BhAi turns the same meal into a decision layer by checking protocol fit, calorie band alignment, likely trigger ingredients, and the next action inside the user's active coaching flow.
Positions gyms and fitness centers as a white-label profit-share channel that can extend retention and member value without staff-heavy coaching overhead.
Corporate wellness is framed as a per-member-per-year model supporting burnout reduction, stress tolerance, and stronger employee health engagement.
Insurance is described as a future risk-mitigation and preventive care layer for high-risk policyholder journeys.
Commercial structure follows deployment type. Here's what determines scope for each partner:
Every engagement starts with a conversation about how BhAi fits your rollout not a price card.
Pricing depends on deployment model, member count, and level of customization.
Schedule a callOften positioned as lightweight trackers or habit tools, with manual search, static surveys, and generic guidance instead of true biological context.
Framed as a single-window lifestyle and metabolic intelligence engine with a stronger SaaS identity across gyms, corporates, and insurers.
Health data demands a higher bar. BhAi's infrastructure is designed around zero-trust principles, least-privilege access, and encrypted communication end to end. Not bolted on after the fact.
Hosted across AWS and Google Cloud: AWS provides the compute layer while Google Gemini powers the AI reasoning layer, giving BhAi enterprise-grade infrastructure from both providers.
Cross-cloud communication between AWS and Google Cloud runs on Workload Identity Federation (WIF), so services authenticate without long-lived shared credentials.
API Gateway, Lambda, GuardDuty, and Cognito form the core of our AWS security posture, covering access control, threat detection, and identity management.
All service-to-service and client communication is secured using hashed tokens, so requests can be authenticated and verified without exposing raw credentials.
BhAi's architecture is designed to align with SOC 2 trust principles, HIPAA Security & Privacy Rule concepts, and India's DPDP Act, with an eye toward regional frameworks such as UAE ADGM and GCC health-data governance as we expand. Formal third-party certification is in progress, not yet complete, we're happy to walk insurer and enterprise partners through our current posture and roadmap on a call.
BhAi is an AI-powered health and lifestyle intelligence platform that helps gyms, corporates, and insurers turn member health data into actionable insights, personalized guidance, and measurable preventive-care programs.
BhAi is built for partner organizations that want to improve member engagement and health outcomes, including gyms and studios, corporate wellness teams, and insurers running preventive-care or risk-reduction programs.
Typical pilot onboarding can take a few weeks depending on the deployment model, data scope, and integration depth. A full pilot usually runs for 3 to 6 months so we can validate engagement, adoption, and measurable outcome trends.
BhAi collects only the data needed to power personalized health insights, coaching, and cohort analytics, such as profile details, wellness inputs, risk signals, and program engagement. The data is used to generate recommendations, monitor progress, and help partners track program performance.
BhAi runs on a zero-trust architecture across AWS and Google Cloud, using Workload Identity Federation for cross-cloud service communication, hashed tokens for all requests, and AWS API Gateway, Lambda, GuardDuty, and Cognito for access control and threat detection. See the Security section above for the full picture.
BhAi's architecture is designed to align with SOC 2 trust principles, HIPAA Security & Privacy Rule concepts, and India's DPDP Act, with regional frameworks like UAE ADGM and GCC health-data governance in view as we expand. Formal third-party certification is in progress rather than complete today, if you need a partner-specific compliance review, we can share our current posture and roadmap during diligence.
BhAi is priced based on deployment type and scope. Gyms and studios are typically white-label or co-branded based on member volume and support needs, corporates are usually structured as PMPY or annual wellness programs based on employee count and engagement depth, and insurers use a custom preventive-care partnership model based on pilot design and integration scope.
Yes. BhAi can be deployed as a white-label or co-branded experience so your members see your brand while you retain the underlying intelligence, workflows, and reporting layer.
Members use BhAi for personalized health guidance, progress tracking, and ongoing check-ins based on their goals and risk profile. The experience is designed to feel simple and supportive while giving the partner a clearer view of engagement and outcomes.
BhAi can support partner-specific integrations depending on the use case, including wellness data flows, engagement data, and other approved system connections. We scope integrations based on what is needed for the pilot and what best fits the partner's operating model.
For early partners, outcomes are tracked at the cohort level through engagement, risk-profile movement, and improvements across measures such as BMI and WHR, along with related health factors. We use these signals to understand adoption and the direction of health improvement over the pilot period.
Getting started usually begins with a discovery call to understand your partner type, goals, and data scope. From there, we define the pilot structure, integration needs, and success metrics, then run a 3 to 6 month pilot to validate engagement and outcome trends.
Launch BhAi with your brand, book a rollout call, or review the live product experience. Built for gyms, corporates, and insurers that want a premium health intelligence layer.
One live anchor partner in the gym category today, with corporate and insurance conversations in progress and more logos to come as new partners are onboarded.
