For much of his career, Mohamed Mohamed worked at institutions — BlackRock, Goldman Sachs, and McKinsey — all of whom, he said, “treated real estate as a computational problem.”
“They had proprietary data pipelines, internal valuation models, simulation tools, and increasingly, early AI systems supporting underwriting and capital allocation,” he told TechCrunch, explaining how these firms analyzed property investments.
But he knew that regular people who also invested in real estate didn’t have access to such advanced tools. His friends were coordinating deals on WhatsApp or storing critical information in PDFs.
“There was no unified data layer, no consistent modeling, and no easy way to reason about risk, liquidity, or execution end to end,” Mohamed continued. “Decisions involving millions of dollars were being made without anything resembling a modern intelligence stack.”
In 2024, he left his job at Boston Consulting Group to strike out on his own. He founded Smart Bricks, an AI-powered proptech that helps investors find high-quality real estate investments. The company is based in London and San Francisco.
The product analyzes millions of public and proprietary data points across areas like pricing, liquidity, transaction history, supply, and financing terms.
Mohamed said it has an autonomous reasoning system that, rather than simply showing available real estate deals, can map to the expected outcome of a deal using automated valuation models, cash-flow forecasting, downside risk modeling, and market reasoning.
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