Industries · Wellness & Fitness
AI that keeps members, not one more app nobody opens
Banao builds and deploys AI for gyms, studios, and wellness platforms — member churn prediction, class scheduling, personalized plans, and front-desk automation — on the member data you already collect.
Every system below runs inside a live product or operation, wired to your billing, check-in, and app data. We sell deployed systems, not yet another dashboard.
HummCare— AI-driven member matching and engagement built into a live wellness platform.
The first call is free · 45 minutes · no obligation
What we build
What we deploy in wellness & fitness
Each of these has a rupee or dollar attached — a member who cancels, a class that runs half-empty, a front desk drowning in calls. We start where the money is leaking.
Member churn prediction
A model over attendance, billing, and app-usage signals that flags at-risk members weeks before they cancel — paired with a win-back list your front desk can actually work.
Class & trainer scheduling
Capacity-aware schedules driven by real demand patterns, no-show rates, and trainer availability, so the popular slots stop selling out while the rest run half-empty.
Personalized fitness & nutrition plans
Programs that adapt to each member's goals, attendance, and progress, instead of a static PDF handed out at sign-up that nobody opens twice.
Front-desk & member-query automation
A WhatsApp or voice agent that handles bookings, renewals, freezes, and routine questions, escalating only the cases that genuinely need a human.
Member engagement analytics
One view of attendance, app usage, and lifecycle stage, so the team acts on the members slipping away this week — not on last month's spreadsheet.
Wearable & app-signal integration
Wearable, app, and check-in data pulled into one member profile that feeds the retention and personalization models, rather than sitting in three disconnected tools.
Receipts
Deployed, with names attached
Metrics shown dotted (··) are being finalised in our case-study metrics pack. The deployments are live; we will not publish a number before it is verified.
AI matching and engagement built into a live wellness platform
HummCare pairs members with the right wellness provider and keeps them active between sessions. Banao built the matching engine, the content engine, and the member and provider apps — the AI sits inside the product members touch every day, not in a back-office report nobody reads.
Cancellations flagged weeks before the member walked
An anonymized engagement — a fitness chain whose churn only showed up after the member had already stopped paying. Banao trained a churn model on check-in, billing, and app data, then handed the front desk a daily at-risk list and a member-query agent that took the routine calls off their plate.
Dogfooding
We run our own company on the AI we sell
Banao operates a ~300-person engineering company on its own AI products before any client sees them. InterviewGod screens our own hires. Vikaas runs our own demand generation.
That is the difference between a vendor who has read about retention models and one who lives or dies by them. When a system has to survive our own operation first, the version that reaches your front desk is already proven.
Screens Banao's own engineering hires every week.
Runs Banao's own demand-gen pipeline end to end.
The honest version
When wellness AI doesn't earn its keep
Most AI vendors will sell you a model regardless. We would rather tell you when not to build — it is why studio owners take our second call.
- Too few members: below a few hundred active members, a churn model has too little signal to beat a front desk that knows people by name. We'll say so.
- A product problem, not a data problem: if members leave because the equipment is broken or the classes are bad, no model fixes that. Fix the product first.
- No usage history: if check-ins, billing, and app data live in disconnected tools with no history, week one is plumbing, not prediction.
How we start
How we start — fixed-price, low risk
You have been pitched AI by a dozen fitness-tech vendors already. We start by proving where members and revenue leak, not by quoting a build.
- 01
AI Discovery Sprint
2 weeks · fixed price
On-site if needed. You walk out with a prioritised list of AI opportunities, baseline ROI maths on your churn and class economics, and a go/no-go per opportunity — yours to keep either way. If you proceed, the Sprint cost is credited against the build.
- 02
Build
Data engineering first, then the model. We build the cleaning pipeline as a deliverable and integrate with your gym-management software, billing, and app — existing tools included.
- 03
Production & continuous learning
Deployment with a daily action list for the front desk and a dashboard the team opens, plus the change management to make it stick. The model keeps improving with each week of member data.
FAQ
Frequently asked questions
We already have gym-management software. Do we need this too?
No — we sit on top of it. Banao adds the retention, scheduling, and engagement layer over the data your CRM and app already collect. We don't replace the system your team knows; we make the data it gathers actually do something.
Our member data is messy and spread across tools. Can we still start?
Yes. Nobody has clean data. We need some history, not perfect data. The first two weeks of any engagement is data engineering, and the cleaning pipeline is part of the deliverable, not a prerequisite you have to meet first.
We tried a churn dashboard and nobody used it. Why is this different?
Most retention tools die because they report instead of act. Our delivery hands the front desk a daily at-risk and win-back list inside the tools they already use — not one more dashboard to log into and ignore.
How do we prove ROI before committing budget?
That is what the AI Discovery Sprint produces — fixed price, two weeks, you keep the retention and class-economics ROI model whether or not you continue. Worst case you have a free assessment; best case you have your board business case.
How fast can a system reach our front desk?
A typical path is a 2-week Sprint, a 6–8 week build, and a 4-week rollout. Banao's ~300-engineer bench means delivery starts in weeks, not the months a local hire would take.
Get started
Find out which members you're about to lose
Bring your churn rate, your class fill rates, or your front-desk call volume. In 45 minutes we'll map the AI opportunity and the revenue behind it.
Book a Discovery Sprint