Smart Bricks has raised $5 million in a pre-seed round to build what it describes as an AI-native operating layer for global real estate investing. The round was led by Andreessen Horowitz.
The company, founded in Dubai, is positioning its platform as infrastructure for automating how capital is deployed across property markets.
Smart Bricks is not building another dashboard or marketplace. It is developing proprietary agentic AI models designed to autonomously source, underwrite, score, and match real estate assets to investors in near real time.
According to the company, workflows that traditionally take six months can be compressed into minutes.
From Manual Underwriting to Autonomous Execution
Despite being the world’s largest asset class, real estate investment workflows remain fragmented and slow. Underwriting often depends on spreadsheets, static reports, broker relationships, and manual aggregation of public and proprietary data.
Large institutions compensate by building internal data pipelines and analytics teams. Smaller funds and independent sponsors typically cannot.
Smart Bricks is attempting to abstract institutional-grade decisioning into software.
The company says its AI agents continuously ingest millions of live proprietary and public data sources, allowing the system to identify opportunities, assess risk, and match assets to investor profiles dynamically. Rather than sitting outside the investment process as a reporting layer, the platform is designed to sit inside the capital allocation workflow itself.
That distinction is material. The platform automates underwriting and execution inside the capital allocation process.
The Structural Bet
This raise reflects a broader shift: venture funding is moving toward companies that aim to automate capital allocation in private markets, not just improve reporting tools.
If platforms like Smart Bricks gain adoption, potential implications include:
Shorter underwriting cycles
More standardized risk scoring
Increased access to institutional-grade analysis
Faster capital movement across markets
Autonomous decision systems introduce unresolved questions around transparency, governance, and systemic exposure in an illiquid asset class. The $5M pre-seed round reflects investor conviction that real estate capital allocation requires new automation infrastructure.
Real estate has long relied on manual judgment layered over fragmented data. Smart Bricks is attempting to move AI directly into the decision layer where capital is deployed.
Whether markets adopt autonomous underwriting at scale remains open. The funding suggests the experiment has begun.
