The House That Fought Back the Heat
A complete, grounded scenario showing how RetroAI — and the deeptech that powers it — transforms one Jodhpur homeowner's summer, and why it cannot be replicated by anyone who has not spent years building this.
The Summer That Never Really Ends
It is the third week of May in Jodhpur, Rajasthan. The outdoor temperature is 46°C. Ramesh Gupta — a 38-year-old government school teacher — is standing in his back bedroom at 11pm. The wall behind him is radiating stored heat. His 67-year-old mother refuses to sleep here. His eight-year-old daughter has been waking with headaches. His electricity bill last month was ₹4,400, and the summer has barely started.
Ramesh's house was built in 2009. Flat RCC roof, no coating. West-facing bedrooms with single-pane aluminium-frame windows. Faded cement paint on the exterior walls. A dark grey terrace that has been absorbing Jodhpur's sun for fifteen years with nothing to show for it except heat.
He is not unusual. He is one of approximately 80 million households in India's hot climate zones living inside buildings structurally unprepared for the temperatures they now face. A conventional green building audit would cost him ₹50,000 to ₹5,00,000 and require a consultant he has no way of finding. Googling "reduce home temperature" returns generic advice that ignores his building's orientation, his climate zone, and the specific physics of what is happening inside his walls. He has no expert. He has no plan. He has only the heat.
A WhatsApp Forward Changes Everything
Sunday evening. Ramesh is scrolling his colony's WhatsApp group. Someone has shared a message:
Sharma Ji (Sector 3)
Verma Ji
Amit S.
Ramesh clicks. He lands on the RetroAI web interface — clean, available in Hindi and English, with a Google Play Store button. He downloads the Android app: 14MB, installed in seconds. What makes him pause before dismissing it is a line near the top of the landing page:
"Validated across 35 AI audit runs, 8 buildings, 6 Indian cities. Methodology patent filed. Built to EDGE, GRIHA, and IGBC standards. ₹1.21 per audit run. 35× cheaper than a conventional energy audit."
He does not know what GRIHA means. But "patent filed" and "validated across 8 buildings" registers as something serious. He keeps going.
54 Seconds to a Free Assessment
The app asks for six things: location (auto-detected as Jodhpur), building type (flat roof RCC), size (2BHK, ~900 sq ft), orientation (west-facing bedrooms, marked on a compass graphic), three photographs (front of house, roof terrace, main bedroom), and monthly electricity bill (₹4,400, optional).
A progress bar moves. "Analyzing your roof, walls, and window orientation using climate data for Jodhpur." At 54 seconds — the free report generates. It arrives simultaneously on screen and on WhatsApp.
Five Simultaneous Processes Ramesh Cannot See
The report Ramesh reads in thirty seconds took five parallel technical processes to produce. None of them existed for Indian buildings before Tathyashodh.AI built them.
Computer Vision — Reading the Building
Ramesh's three photographs enter a computer vision engine trained specifically on Indian building typologies. From his roof photo the model identifies: dark grey uncoated RCC. From his bedroom photo: single-pane glass, west-facing, no external shading.
Material Intelligence — Thermal Physics from a Photograph
A patent-pending core. RetroAI infers properties from a smartphone photograph. For Ramesh's dark grey RCC roof: estimated emissivity ε ≈ 0.88–0.92 → estimated U-value 3.2–3.8 W/m²·K. The ECBC 2017 limit is 0.4. His roof is performing 8–9× worse than standard. Windows estimated at SHGC 0.75–0.86, against ECBC's limit of ≤0.25.
Geospatial Climate Fusion — Calibrated to His Address
Resolves location and cross-references multiple layers: IMD solar irradiance data (Jodhpur receives 5.8–6.2 kWh/m²/day), urban heat island maps, and historical peak temperatures over the last 5 summers.
Neural Simulation — 10,000 Scenarios Per Building
Using inferred U-values and SHGC combined with IMD hourly weather data, the system runs a neural simulation of heat flow through every surface. It models how each wall layer stores and releases heat, explaining why his west wall radiates energy late into the night.
Standards-Native Scoring + TPU Inference
The rating engine scores building across five dimensions simultaneously against EDGE, GRIHA, and IGBC. The entire pipeline runs on TPU hardware, consuming 60–80% less energy at a total cost of ₹1.21 per complete assessment.
Urban Heat Island (UHI) intensity score
Ramesh's ward scores UHI Intensity: +4.2°C above Jodhpur baseline. This means the ambient outdoor temperature is already 4.2°C hotter than the city average before building-specific gains, compounded by dense concrete and low wind.
RetroAI has identified your ward as a high-intensity Urban Heat Island zone. 23 homes within 800 metres of your address share similar or worse heat vulnerability profiles.
Ramesh reads the number that stops him: ₹7,800 to ₹10,200 annual saving. That is two months of electricity bills. He reads the neighbourhood heat profile. He screenshots both sections and shares them in the colony group. Then he taps the ₹399 button. His wife says — "Sahi kiya." — You did the right thing.
The Paid Report — Seven Sections
The full report arrives as a PDF in the app and on WhatsApp three minutes after payment.
Section 1 — Your Home's Heat Map. A color-coded diagram showing where heat enters and is stored. Below the map: a single line explains why his daughter wakes with headaches: "Radiant heat from the west wall continues releasing stored energy between 10pm and 2am, keeping bedroom temperature 4–6°C above comfort threshold during sleeping hours."
Section 2 — Climate Resilience Score Explained
Section 3 — Four-Phase Retrofit Plan.
Phase 1 · Quick Wins
0–3 monthsTarget: 15–20% heat reduction. Payback in 8–14 months.
- ✓ SRI cool roof paint on full terrace
- ✓ UV-reflective window film on west windows
- ✓ Light-colored exterior paint on west wall
- ✓ Seal all AC pipe penetration gaps
Phase 2 · Envelope
3–6 monthsTarget: 20–25% further heat reduction.
- ✓ External chajja / sunshade over west windows
- ✓ Reflective foil insulation in false ceiling
- ✓ Terrace garden over 30% of roof area
Phase 3 · HVAC
6–12 monthsTarget: 30–40% AC energy reduction.
- ✓ Upgrade to 5-star inverter AC
- ✓ Ceiling fan positioning airflow optimisation
- ✓ Smart thermostat for night regulation
Phase 4 · Solar
12–24 monthsTarget: 50–80% energy self-sufficiency.
- ✓ Rooftop solar (PM Surya Ghar scheme)
- ✓ Smart metering system integration
Section 4 — Your Plant Plan. Areca Palm in the living room (humifier), Snake Plant in the main bedroom (releases oxygen at night), Aloe Vera and Tulsi (heat-hardy).
Section 5 — Government Schemes. BEE 5-Star Appliance Scheme (AC discounts), Rajasthan Solar Rooftop Yojana, PM Surya Ghar Muft Bijli Yojana (up to 300 free units/month).
Section 6 — Verified Business Directory. Every business sorted by distance with RetroAI Verified badge.
Section 7 — Location-Specific Green Materials Marketplace. Surfaces actual suppliers within Jodhpur.
| Material | Supplier · Distance | Price (approx) | RetroAI Status |
|---|---|---|---|
| SRI Cool Roof Paint | Rajputana Hardware, Sardarpura · 1.2 km | ₹180–₹220/litre | ✓ Partner · 5% off |
| UV-Reflective Window Film | CoolHome Solutions, Shastri Nagar · 2.8 km | ₹85–₹120/sq ft | ✓ Partner · 8% off |
| Reflective Roof Membrane | Sharma Brothers, Civil Lines · 4.1 km | ₹95–₹130/sq ft | ✓ Partner · Free inspect |
| Aluminium Foil Insulation | Metro Building Materials, Paota · 3.4 km | ₹18–₹24/sq ft | ✓ Verified |
| AAC Blocks | Rajasthan AAC Products, RIICO · 6.2 km | ₹42–₹55/block | ✓ Verified |
| Bamboo Window Shade | Green Build Jodhpur, Ratanada · 5.1 km | ₹1,200–₹2,400/window | Onboarding |
| Rooftop Solar Panels | SolarEdge Jodhpur, Ratanada · 5.7 km | ₹38–₹48/Wp | ✓ Partner · Free assess |
The Question the App Cannot Answer Alone
Three days after the report, Ramesh has a question. His terrace is partly covered by a water tank — can he still apply cool roof coating on the remaining area and get meaningful results?
He types into the RetroAI WhatsApp chat. Four hours later, a specific answer arrives:
This is the moment Ramesh stops thinking of RetroAI as an app and starts thinking of it as someone on his side.
The Year-Round Relationship
RetroAI does not disappear after the report is delivered. It becomes Ramesh's year-round home climate companion — arriving at exactly the right moment, with exactly the right information.
The annual reassessment costs ₹99 — less than the original, because RetroAI already holds Ramesh's baseline. His new score: 64/100, up from 38. A before-and-after comparison shows exactly how his specific interventions moved each dimension. He screenshots it and shares it in the colony WhatsApp group.
The Ripple — From One House to a City Platform
Within three months, six of Ramesh's neighbours have used RetroAI. The colony WhatsApp group has become an informal support community — people sharing which contractors did good work, which plants thrived, what their new electricity bills look like.
The housing society committee approaches RetroAI directly for a Society-Level Assessment — a single report covering all 48 flats, common areas, the shared terrace, and boundary walls. This is the B2B entry point: ₹8,000–₹15,000 for a society report, ₹3,500/year for an annual monitoring subscription.
The Jodhpur Smart Cities Mission office, tracking cool roof adoption data, notices RetroAI's geo-tagged assessments clustering across certain wards. They reach out to explore a B2G API integration — feeding RetroAI data into the city's urban heat resilience dashboard and embedding the platform into PMAY-U beneficiary onboarding. This is the path Tathyashodh.AI has been building toward: not just a consumer app, but infrastructure for India's climate adaptation at city scale.