American real estate transactions cost $234.8 billion annually—not to build homes or improve properties, but to repeatedly verify the same information, coordinate between incompatible systems, and pay gatekeepers for accessing what should be public data. On the average $412,000 home purchase, buyers and sellers pay $67,155 in transaction costs, with 42% hidden in mortgage rate manipulations that transform one-time broker fees into decades of compound interest. Most perversely, these costs scale with property values rather than actual work performed, creating a system where million-dollar transactions cost five times more than $200,000 ones despite requiring identical effort.

The Elephant protocol replaces this extractive architecture with transparent infrastructure that reduces transaction costs by 89%. By treating real estate data as public infrastructure on blockchain rails, tokenizing properties as permanent digital assets, and automating coordination through smart contracts, we eliminate the systematic inefficiencies that have plagued property transactions for centuries. Task-based service providers bridge the on-chain and off-chain worlds, ensuring seamless integration between blockchain verification and real-world property transactions.