Unified Solar Operations Platform for Homeowners & Installation Vendors
Unified Solar Operations Platform for Homeowners & Installation Vendors
Palpx takes enterprise AI from prototype to production, principals who have done it at scale, not associates learning on your budget.
Palpx takes enterprise AI from prototype to production, principals who have done it at scale, not associates learning on your budget.
Rengy · Solar Infrastructure · Marketplace · Operations Platform
Rengy · Solar Infrastructure · Marketplace · Operations Platform
Rengy · Solar Infrastructure · Marketplace · Operations Platform
Rengy · Solar Infrastructure · Marketplace · Operations Platform
Client
Leading Oil & Gas Company
Industry
Renewable Energy
TAGS
Solar Energy · Vendor Management · Project Operations · Marketplace · Fintech
Technologies
Custom CNN, PyTorch, OpenCV, NVIDIA Edge Compute, Python, REST API, MRO System Integration
Engagement
Forge™️
Client Overview
Rengy is a solar deployment platform focused on standardizing residential rooftop solar installations. The platform connects homeowners seeking solar adoption with verified installation vendors while managing financing, procurement, installation workflows, net metering, and subsidy processing through a unified operational framework. The objective was to create a scalable ecosystem capable of delivering consistent execution across a fragmented solar market.
Results:
7
Deployment stages standardized into a single workflow
2
Integrated user ecosystems — homeowners & vendors
100%
Project lifecycle managed through a unified workflow
The Challenge
A high-intent market broken by low-trust execution.
Active workspaces
Subsidy uptake among eligible homeowners
India's residential solar market does not fail at awareness. It fails at confidence, coordination, and continuity. Homeowners can't distinguish certified installers from opportunists. Subsidy applications require navigating 6+ government touchpoints. Once panels are up, there is no monitoring, no accountability, no support. The opportunity was never just solar adoption. It was trust infrastructure.
The Solution
Real-time pricing. Your specs. Your subsidy.
The pricing engine turns location, roof type, module, inverter, and structure configuration into a quote the homeowner can actually trust. Cross-referenced against DISCOM zone data, live material pricing, and subsidy slabs in real time.
✦ AI Layer
Location-aware pricing engine factoring DISCOM zone rates, structure complexity (Standard vs. Customised across 2kW–6kW), module-inverter compatibility, and subsidy eligibility. A loading state — "Just a moment while we generate your dynamic pricing" — humanises the computation and builds trust before the number appears.
"Showing the structure cost table before the final quote — not hiding it — builds trust in the number. The homeowner sees the logic, not just the output."
See it before you buy it.
Before a homeowner sees a price, they see their home with solar panels on it. The AR/VR preview places a photorealistic array on their roof — adjustable for orientation, panel count, and structure height — and generates a generation estimate from the session.
✦ AI Layer
Computer vision roof geometry detection from 360° video. AR placement engine with orientation and shading adjustment via WebXR · ARKit · ARCore. Generation forecast seeded with AR session data — roof area, panel count, local irradiance — combined into a projected annual yield.
Start with the bill. Not the kilowatts.
The savings calculator opens with one question: your monthly electricity bill. Not roof dimensions. Not system size. From there — location, roof type, 360° video capture, site photo — the AI builds a personalised savings projection.
✦ AI Layer
Bill-to-system-size inference via Prophet model. Satellite and video-based roof area analysis via U-Net segmentation. Generation forecast by DISCOM zone and seasonal irradiance pattern.
Ask Rengy.
An AI assistant that knows your system, your history, and how to book a technician. Turns support from a dead-end inbox into an always-available surface — capable of diagnosing issues from photos, answering generation questions, and scheduling service visits inline.
Client
Leading Oil & Gas Company
Industry
Renewable Energy
TAGS
Solar Energy · Vendor Management · Project Operations · Marketplace · Fintech
Technologies
Custom CNN, PyTorch, OpenCV, NVIDIA Edge Compute, Python, REST API, MRO System Integration
Engagement
Forge™️
Client Overview
Rengy is a solar deployment platform focused on standardizing residential rooftop solar installations. The platform connects homeowners seeking solar adoption with verified installation vendors while managing financing, procurement, installation workflows, net metering, and subsidy processing through a unified operational framework. The objective was to create a scalable ecosystem capable of delivering consistent execution across a fragmented solar market.
Results:
7
Deployment stages standardized into a single workflow
2
Integrated user ecosystems — homeowners & vendors
100%
Project lifecycle managed through a unified workflow
The Challenges
A high-intent market broken by low-trust execution.
Active workspaces
Subsidy uptake among eligible homeowners
India's residential solar market does not fail at awareness. It fails at confidence, coordination, and continuity. Homeowners can't distinguish certified installers from opportunists. Subsidy applications require navigating 6+ government touchpoints. Once panels are up, there is no monitoring, no accountability, no support. The opportunity was never just solar adoption. It was trust infrastructure.
The Solution
Real-time pricing. Your specs. Your subsidy.
The pricing engine turns location, roof type, module, inverter, and structure configuration into a quote the homeowner can actually trust. Cross-referenced against DISCOM zone data, live material pricing, and subsidy slabs in real time.
✦ AI Layer
Location-aware pricing engine factoring DISCOM zone rates, structure complexity (Standard vs. Customised across 2kW–6kW), module-inverter compatibility, and subsidy eligibility. A loading state — "Just a moment while we generate your dynamic pricing" — humanises the computation and builds trust before the number appears.
"Showing the structure cost table before the final quote — not hiding it — builds trust in the number. The homeowner sees the logic, not just the output."
See it before you buy it.
Before a homeowner sees a price, they see their home with solar panels on it. The AR/VR preview places a photorealistic array on their roof — adjustable for orientation, panel count, and structure height — and generates a generation estimate from the session.
✦ AI Layer
Computer vision roof geometry detection from 360° video. AR placement engine with orientation and shading adjustment via WebXR · ARKit · ARCore. Generation forecast seeded with AR session data — roof area, panel count, local irradiance — combined into a projected annual yield.
Start with the bill. Not the kilowatts.
The savings calculator opens with one question: your monthly electricity bill. Not roof dimensions. Not system size. From there — location, roof type, 360° video capture, site photo — the AI builds a personalised savings projection.
✦ AI Layer
Bill-to-system-size inference via Prophet model. Satellite and video-based roof area analysis via U-Net segmentation. Generation forecast by DISCOM zone and seasonal irradiance pattern.
Ask Rengy.
An AI assistant that knows your system, your history, and how to book a technician. Turns support from a dead-end inbox into an always-available surface — capable of diagnosing issues from photos, answering generation questions, and scheduling service visits inline.
Rengy · Solar Infrastructure · Marketplace · Operations Platform
Client
Leading Oil & Gas Company
Industry
Renewable Energy
TAGS
Solar Energy · Vendor Management · Project Operations · Marketplace · Fintech
Technologies
Custom CNN, PyTorch, OpenCV, NVIDIA Edge Compute, Python, REST API, MRO System Integration
Engagement
Forge™️
Client Overview
Rengy is a solar deployment platform focused on standardizing residential rooftop solar installations. The platform connects homeowners seeking solar adoption with verified installation vendors while managing financing, procurement, installation workflows, net metering, and subsidy processing through a unified operational framework. The objective was to create a scalable ecosystem capable of delivering consistent execution across a fragmented solar market.
Results:
7
Deployment stages standardized into a single workflow
2
Integrated user ecosystems — homeowners & vendors
100%
Project lifecycle managed through a unified workflow
The Challenges
A high-intent market broken by low-trust execution.
Active workspaces
Subsidy uptake among eligible homeowners
India's residential solar market does not fail at awareness. It fails at confidence, coordination, and continuity. Homeowners can't distinguish certified installers from opportunists. Subsidy applications require navigating 6+ government touchpoints. Once panels are up, there is no monitoring, no accountability, no support. The opportunity was never just solar adoption. It was trust infrastructure.
The Solution
Real-time pricing. Your specs. Your subsidy.
The pricing engine turns location, roof type, module, inverter, and structure configuration into a quote the homeowner can actually trust. Cross-referenced against DISCOM zone data, live material pricing, and subsidy slabs in real time.
✦ AI Layer
Location-aware pricing engine factoring DISCOM zone rates, structure complexity (Standard vs. Customised across 2kW–6kW), module-inverter compatibility, and subsidy eligibility. A loading state — "Just a moment while we generate your dynamic pricing" — humanises the computation and builds trust before the number appears.
"Showing the structure cost table before the final quote — not hiding it — builds trust in the number. The homeowner sees the logic, not just the output."
See it before you buy it.
Before a homeowner sees a price, they see their home with solar panels on it. The AR/VR preview places a photorealistic array on their roof — adjustable for orientation, panel count, and structure height — and generates a generation estimate from the session.
✦ AI Layer
Computer vision roof geometry detection from 360° video. AR placement engine with orientation and shading adjustment via WebXR · ARKit · ARCore. Generation forecast seeded with AR session data — roof area, panel count, local irradiance — combined into a projected annual yield.
Start with the bill. Not the kilowatts.
The savings calculator opens with one question: your monthly electricity bill. Not roof dimensions. Not system size. From there — location, roof type, 360° video capture, site photo — the AI builds a personalised savings projection.
✦ AI Layer
Bill-to-system-size inference via Prophet model. Satellite and video-based roof area analysis via U-Net segmentation. Generation forecast by DISCOM zone and seasonal irradiance pattern.
Ask Rengy.
An AI assistant that knows your system, your history, and how to book a technician. Turns support from a dead-end inbox into an always-available surface — capable of diagnosing issues from photos, answering generation questions, and scheduling service visits inline.