The whole world is losing sleep. India most of all.
93% of Indians are sleep-deprived. Fewer than 5% ever get help. We're building the daily companion that finally does something about it.
Sleep is the crisis nobody is solving
Everyone knows the problem. No one has a solution that sticks. That gap is our door in.
Indian Sleep Disorders Association, 2023
Among the most sleep-deprived nations (Philips global study)
Stigma + no accessible daily support
FICCI health estimates
A $197B preventive-health market, and the rails are finally built
Preventive care growing 22% CAGR — faster than curative (15%). Fitness & wellness alone is 51% of the pie.
800M smartphone users
8 hrs/day screen time. Tier 2/3 is WhatsApp- and voice-native.
UPI + cheap data
Payment & subscription rails already built. ₹99–250/mo works.
AI cost collapse
Hyper-personalization now viable at ₹200/mo — not just $200/mo.
The demand is proven. The product isn't.
$180M+ raised across the category. 1.5M+ downloads in under a year. The demand is proven — but every playbook stops at downloads.
Courses & videos
Bite-sized vernacular content. Builds awareness, not daily action. You watch, then you forget.
Calorie trackers
English-first, ₹2000+/mo, metro DNA. Category leader's revenue actually declined last year.
Therapy chatbots
CBT-style, episodic, clinical framing. Not a daily wellness relationship, not mass-market Bharat.
The first wave
Validated the market. But scripted MCQ onboarding, templated plans, generic AI, content-push as the real product.
(first-wave apps)
day one
stickiness
retention
Content-first vs companion-first
Same user need. Two fundamentally different architectures — and only one compounds.
Content is the product
- ✕ Scripted onboarding questionnaires (Q31, Q32, Q33…)
- ✕ Templated plans dumped from MCQ answers
- ✕ "Watch Video" course-push by Day 3
- ✕ AI answers generic questions between content
The relationship is the product
- ✓ Open, emotional, user-led conversation
- ✓ Routines emerge from trust — never dumped Day 1
- ✓ 5-layer memory: facts, health, traits, context, recall
- ✓ Adapts tone, length & timing every single message
6,000 messages taught us one thing
We ran a human-operated WhatsApp MVP. Users came for a problem — and stayed for the person.
Came for a fix
Acidity, sleep, skin, BP — one specific problem got them in the door.
Shared their life
Unprompted: food photos, reports, family worries, job stress, what they love.
Came back at night
They messaged when lonely, anxious, sleepless — not just for health tips.
Asked for more
Doctor recos, therapist, products — and paid for unrelated services too.
Users don't need more content. They need someone who checks in tomorrow.
This is not a health app. It's a daily relationship that happens to start with health.
Meet Tej Priy. 14 years stuck.
Real user. Real data. 461 messages in 13 days. This is who we're building for.
At home · Spiritual person
4 AM, can't sleep. Reaches out.
"Raat ko neend nahi aati." Shares full routine, spiritual identity, need for respect. Hasn't worked in 10 years.
Calls Saathi his "big brother, mentor, guide"
Opens up about the real depth
"14 saal se wahi khada hun. No progress, no growth, no peace, no calmness." Asks for help. Engages with audio therapy.
Keeps coming back. Asks for more.
Requests specific content (Shiv Nindra, bell sounds). Finds what works. Saturation point → therapy referral opportunity.
Same need. Two different worlds.
Day 1 is a chat. Day 30 is a relationship.
Not a chatbot. Not a content app. A compound intelligence.
Hindi voice, streaming
Real-time STT/TTS with barge-in. No competitor has this.
Expert-backed routines
Multi-day sleep programs, slot-based tracking.
5-layer memory
Facts, health profile, traits, context, semantic recall.
Self-improving loop
Every bad reply → reviewer rewrite → exemplar → next chat.
Dynamic directives
Tone, length & timing shift by mood, hour, vulnerability.
Hinglish-native
Code-switching, Devanagari, cultural context built-in.
Every surface is alive with intelligence
Voice Orb
Reel-style routines
Proactive agent nudges
AI knows what you’re hearing
The moat is the relationship data flywheel
flywheel
5-layer memory with confidence scoring, contradiction detection & decay. Un-copyable without months of a user's history.
Feedback → auto-correction → reviewer rewrite → exemplar → next chat. The AI improves from every failure.
Hinglish NLP, code-switching, Devanagari sentiment, correction detection. Years of linguistic engineering.
Early signals point the same direction
Two rounds of testing. Both said: depth beats reach, and chronic sleep users are the wedge.
Human-run. Unprompted deep sharing — photos, family, emotions. Proof the relationship forms.
Broad Bharat distribution across metro and smaller cities.
A narrow sleep wedge, then expand through trust
High frequency
Sleep happens every night. Daily reason to open the app.
Emotionally urgent
2 AM, can't sleep — the moment trust is built.
Natural opener
Sleep talk flows into stress, routine, family, health.
The rare pairing this problem actually needs
Deep 0→1 operator. Scaled charters across Pocket FM, Vedantu, Unacademy. Knows Bharat users, content-to-commerce, and growth in Tier 2/3.
A decade building & scaling platforms at Smartsheet, Medi Assist, National Instruments. Built the 5-layer memory, streaming voice pipeline & feedback flywheel.
First movers in this space have content & distribution DNA. We pair that with the deep engineering that makes an AI companion actually compound — the piece content-first teams are missing.
From sleep wedge to trust-led platform
Prove the wedge
Sleep-first. Nail retention, routine habit & paid conversion. Companion-led personalization.
Deepen & expand
Add stress & acidity. Launch full companion memory. First health-commerce pilot.
Platform
Multi-condition. Expert consults & diagnostics. Trust-led commerce at scale.
Raising $2M to build the companion layer
The category is validated. The first wave is content- and routine-led. The companion layer is still open — and it's the layer that retains, personalizes and monetizes.
The companion layer in India’s wellness stack is still open.
First movers proved the demand. We’re building the depth. Let’s talk.