Maskwell

A 90-day coaching desk for people who just started CPAP and want to stop

TL;DR Maskwell takes over the first three months after someone buys a CPAP machine. A trained coach calls on night one, reads the device's own usage data each week, swaps masks that leak and talks people through the parts nobody warns them about. CPAP dealers and sleep labs pay per patient enrolled.

The problem

Indian sleep medicine has a leaking bucket at the end of it. In a 2026 national survey of sleep physicians, CPAP was the first-line recommendation for 92% of patients with moderate to severe apnoea, yet only 49.1% of patients bought the device as prescribed, and compliance among those who did buy averaged 55.7%. The patient paid the bill in 92% of cases, and only 20% of respondents used any telemedicine for monitoring[1].

The underlying condition is common: a Bhopal study of 958 adults found 30.5% with moderate to severe obstructive sleep apnoea[2]. So a family spends tens of thousands of rupees on a machine and struggles alone with it for a fortnight, and then the machine goes into a cupboard next to the treadmill.

The idea

What it does, in regulatory terms - usage coaching and equipment fitting only. Maskwell does not diagnose apnoea and does not set or change prescribed pressures, which stay with the treating physician. CDSCO finalised its guidance on medical-device software in 2026, so stay inside the coaching scope or the service becomes regulated software[3].

The seed pitched AI sleep biofeedback and personalised interventions. I've reframed it, because the evidence points elsewhere. The first two to four weeks decide whether someone keeps using CPAP, and a review of practical strategies recommends a troubleshooting contact within 7 to 14 days[4]. Coaching habits in healthy sleepers is already a crowded market, and this directory covers employer sleep programmes and apnoea screening separately.

A coach calls on the first night and again on nights two and seven. Each week they read the machine's own usage report, which every current CPAP records, and look for the three things that defeat beginners - mask leak, dry mouth and nose, and pressure that feels like too much air. They send a different mask size by courier, add a chin strap, arrange a humidifier and tell the prescribing doctor when the numbers suggest the prescription itself needs review. At day 90, the patient gets a short report and the dealer gets a usage summary.

Who pays

CPAP dealers and sleep labs pay per patient enrolled, because a machine that gets used produces referrals, mask and filter refills and no refund arguments. Devices in India are largely paid for by patients themselves[1], which makes a dealer's reputation their main asset. A direct-to-patient subscription is possible, but the dealer channel puts you in front of people on the day they buy.

Why now

Machines now log their own usage, and manufacturer apps show it to patients, though they work only with that maker's devices[5]. That leaves a gap for a service that works across brands. The 2026 Indian survey also documents how little monitoring happens today, with just 20% of sleep physicians using telemedicine for it[1].

Market signal

No public figure exists for Indian CPAP support services. The narrow signal is in the survey - 49.1% of prescribed patients buy the device and compliance averages 55.7%[1], which means roughly half of every dealer's customers are at risk of quitting. Adjacent reviews put long-term adherence worldwide at 50 to 60%[4]. Size your market from one dealer's monthly unit sales, not from the number of people with apnoea.

Who's already doing this

Manufacturer apps cover their own devices, each limited to that maker's machines[5]. Large Indian dealers offer a trial period and some after-sales help, which varies by shop and salesperson. Sleep labs run follow-up visits for the patients who come back. No cross-brand paid adherence service in India turned up in my checks, which is both the opportunity and the warning, because dealers may believe they already do this.

How hard is it?

Difficulty Easy (25/100)
Starting capital ₹25–45 L
Time to launch 3–5 months

There is almost no technology to build. The hard part is hiring respiratory therapists or trained coaches, reading usage data from several brands without a unified feed and proving to a dealer that your fee comes back as refills and referrals. Mask inventory across sizes ties up cash.

Licences and approvals

Yes, in a limited way. Coaching itself needs no sector licence, but you have to stay outside medical-device software and work with registered clinical staff.

  • CDSCO medical-device software boundary - before launch, keep the service clear of pressure settings and apnoea scoring, which would pull it under CDSCO's 2026 guidance[3].
  • Professional registration for respiratory therapists and nurses, held individually before they coach, working to a protocol a sleep physician signs off.
  • DPDP Act consent before you collect usage data, naming the dealer as a recipient of summary data only[6].
  • GST and consumer rules for the subscription and any mask you sell, before you take money. Publish refund terms.

Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.

How AI can power this business

  • Usage report triage. Software reads each patient's weekly machine report and flags the ones with high leak or short nights, so a coach calls the five people who need it instead of all fifty.
  • Mask fit from a photo. A face photo helps the coach suggest a likely mask size before the courier goes out, which cuts repeat shipments.
  • Call notes. Speech-to-text writes up each coaching call and drafts the summary for the prescribing doctor, saving the coach time every day.
  • Dealer dashboards. Automatic day-90 summaries show each dealer how their patients compare, which is your renewal pitch.

Don't let AI suggest pressure changes or judge whether apnoea is controlled. That's the doctor's call, and it would also turn the service into regulated software.

Want to work out the AI layer for Maskwell? Talk to Yash →

Biggest risks

Here's what can go south -

  • Dealers see it as their own job. Many will say their staff already follow up, so you need a usage number they cannot match.
  • Modest effect size. Reviews find telemonitoring gains are small to moderate and may fade over time[4], so overpromising will backfire.
  • Brand data access. If manufacturers limit third-party access to usage reports, you fall back on patient-shared screenshots.

Our take

I like this one. It's a small, honest services business that a founder with a respiratory-therapy or medical-equipment background can start with little capital. If you want a product company then it's a poor fit. Prove one number in a single dealer's shop first - usage over four hours a night in more patients at day 90 than that dealer's own unsupported customers.

Questions founders ask

Plan for roughly ₹25–45 L, mostly on coaches, mask stock across sizes and courier costs. There's very little technology to build.

Do I need a licence to start a CPAP coaching business in India?

No sector licence for coaching, but you must stay outside medical-device software, use registered clinical staff and follow the DPDP Act for health data.

Can I start a CPAP adherence service in another country?

Yes. CPAP machines record usage the same way everywhere, so the model travels. Check your local rules on medical-device software and health data first.

Download the kit

The free Maskwell validation kit has the line-by-line capital breakdown, the effort scoring, the regulatory and data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for dealers and patients, and 5 assumptions to test. Download the kit →

Talk to Yash

Thinking about building Maskwell or something close to it? The make-or-break work is showing a dealer a usage gain their own after-sales team does not produce. If you need a hand, you know where to find me. Talk to Yash →

Sources

  1. Scadding et al., "Sleep medicine practices in India: Insights from a national survey", Lung India 43(3), 2026-04-30. https://pmc.ncbi.nlm.nih.gov/articles/PMC13186507/
  2. Goyal et al., "Prevalence and association analysis of obstructive sleep apnea in India: results from the BLESS cohort", Sleep Medicine, 2025. https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI:10.1016/j.sleep.2024.11.029&format=json&resultType=core
  3. Emergo by UL, "India CDSCO finalizes guidance on medical device software", 2026-07-30. https://www.emergobyul.com/news/india-cdsco-finalizes-guidance-medical-device-software
  4. Antonaglia et al., "Optimizing CPAP Adherence in Obstructive Sleep Apnea: A Narrative Review of Practical Strategies for Everyday Clinical Care", Healthcare (Basel) 14(15), 2026-08-01. https://pmc.ncbi.nlm.nih.gov/articles/PMC13465342/
  5. ResMed India, official site, accessed 2026-10-21. https://www.resmed.co.in/
  6. PRS Legislative Research, "Digital Personal Data Protection Bill 2023", 2023-08. https://prsindia.org/billtrack/digital-personal-data-protection-bill-2023

For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.

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