Indian Real Estate Lacks Trust and Transparency
We build Trust
ExploreUPRealEstateIntelligence
Scroll to explore price trends across Uttar Pradesh. Green indicates affordability, Red indicates premium zones.
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Trust,Transparency,andVerification
11 Square Feet is built on a simple principle: data collected by people, structured carefully, and verified using intelligence models. We focus on ground-up data, not lead-driven platforms that can be gamed.
Where data is uncertain or incomplete, we show that clearly instead of hiding it.
Ground-Up Data Collection
Data is collected by people on the ground, structured carefully, and verified using intelligence models for accuracy and reliability
Who This Is For
Built for buyers, investors, and brokers who need verified data and transparent intelligence, not lead-driven platforms
Fundamentally Different
We focus on verification and trust, not lead generation. Our data comes from the ground up, not from aggregated, unreliable sources
DataisFragmented,TrustisMissing
Indian real estate is messy and opaque. Data is fragmented and often unreliable. Trust and transparency are missing. Existing platforms are lead-driven and gameable. We are building the trust and intelligence layer that Indian real estate needs.
Why Current Platforms Fail
Most real estate platforms operate on a lead-driven model. They aggregate data from unreliable sources, prioritize lead generation over accuracy, and can be gamed by brokers and developers. The system is designed for transactions, not trust. Data quality suffers because the business model doesn't incentivize verification.
- Lead-driven models prioritize quantity over data quality
- Fragmented data sources that are often unreliable
- Platforms that can be gamed by stakeholders
- Lack of ground-up verification and intelligence
BuildingTrust,OneVerifiedDataPointataTime
We are building the trust and intelligence layer that Indian real estate needs. This is a long-term commitment to transparency, verification, and ground-up data collection. Start exploring what we've built so far.