Real estate transactions are increasingly moving toward digital platforms as companies seek to reduce delays linked to paperwork, manual approvals and fragmented closing processes. Propy, a Miami-based real estate technology company, is expanding its use of blockchain and artificial intelligence to automate title and escrow operations.
Blockchain: Moving Value, Not Just Information
Natalia Karayaneva, founder and CEO of Propy, said blockchain technology allows property records and transactions to be stored through decentralized digital ledgers designed to reduce fraud risks and improve record transparency. Use of blockchain in real estate has expanded as companies explore digital systems for transferring ownership records and processing payments.
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AI Integration: Streamlining Traditional Processes
Supported by a $100 million credit facility from Metropolitan Partners Group, Propy is consolidating title and escrow companies into a platform powered by AI automation. The system extracts information from signed purchase agreements and processes transactions through blockchain-based smart contracts. Propy has also introduced Avery, an AI agent designed to assist with escrow-related workflows and transaction management. According to the company, automation tools are reducing closing times from weeks to several hours in some transactions.
Regulatory Legitimacy Fuels Industry Adoption
Recent regulatory developments, including the GENIUS Act, have increased institutional interest in blockchain-based financial infrastructure. The legislation established rules for stablecoins and reserve requirements, contributing to broader adoption discussions among developers, REITs and investment firms exploring digital transaction systems.
Conclusion: A New Era In Real Estate
Real estate companies continue to test blockchain and AI applications aimed at reducing transaction times and administrative costs. Expansion of digital closing platforms reflects broader efforts across the property sector to modernise transaction infrastructure and automate operational processes.
