Founder & CEO at Smart Bricks
Mohamed Mohamed
Founder & CEO, Smart Bricks - Applied AI lab building agentic AI infrastructure for real-estate investing. Smart Bricks designs and deploys autonomous reasoning systems that allow capital to discover, evaluate, and transact real-estate assets end-to-end, compressing a traditional six-month acquisition cycle into minutes through data-driven, agentic workflows. Mohamed is a Forbes 30 Under 30 honoree and Smart Bricks has been recognized by TechCrunch as one of the Top 200 startups globally and by Onstage Europe as a Top 20 startup in Europe. The company is backed by Techstars, 500 Global, Google, NVIDIA, Microsoft, Harvard Business School, and other leading global investors. Previously, Mohamed led global AI, strategy, and investment initiatives at BCG and McKinsey, working at the intersection of frontier technology and large-scale capital allocation. He began his career as a growth investor at Blackstone and Goldman Sachs, and later as a venture investor at Atomico and Greycroft. He is also an active angel investor in 30+ startups and serves as an Advisor to ADQ, a $200B sovereign wealth fund.
Questions & Answers
What's the story behind your company?
Smart Bricks started from a simple observation: real estate is one of the world’s largest asset classes, yet decisions are still made using fragmented data, manual underwriting, and agent-driven intuition. Despite billions flowing through property markets, the intelligence layer simply didn’t exist. Coming from both real-asset investing and AI, it was clear that this wasn’t a marketplace problem - it was an intelligence problem. The opportunity wasn’t to build another listings platform, but to apply frontier AI systems to make real estate computable. Smart Bricks began as an applied AI research effort: building autonomous reasoning systems that could observe markets, ingest massive data streams, evaluate assets, and continuously learn. Over time, those systems evolved into an agentic platform capable of running discovery, underwriting, and portfolio monitoring end-to-end. Today, Smart Bricks operates as an AI-native intelligence layer for real estate.
How is your team uniquely positioned to solve the problem you're tackling?
Our team is uniquely positioned because we sit at the rare intersection of frontier AI systems and real-world capital allocation. We have built and deployed agentic AI systems in production, not just in research settings, and we have also operated inside real estate and financial markets where decisions carry real consequences. That combination shapes how we build, with intelligence first, infrastructure second, and product last. On the technical side, the team has deep experience in autonomous systems, large-scale data pipelines, and multi-model reasoning architectures. On the domain side, we understand how real estate actually works, including underwriting, risk, liquidity, regulation, and incentives. This allows us to design agents that reason correctly about real assets rather than simply producing outputs. We are building an applied AI lab with the discipline to translate frontier research into reliable, auditable systems that can be trusted with real capital.
Can you share a distinctive achievement or highlight from your career?
A defining highlight of my career has been building and scaling Smart Bricks from an applied AI research effort into a production-grade intelligence platform trusted with real capital. We took frontier reasoning systems out of the lab and deployed them into live real-estate markets, automating decisions that traditionally required teams of analysts and months of work. That transition from research to real-world capital allocation is rare, and it shaped how I think about AI. The real achievement was not the technology itself, but making it reliable, auditable, and useful enough to operate in high-stakes financial environments.
