Songdo cost $40 billion. It took thirty years to model a return. It sits at 46% occupancy.
The technology worked. The sensors were installed. The systems ran. But people didn’t come, because the investment decisions were made from the bottom up, from the technology available rather than from the lives that were supposed to be lived there. Songdo is the canonical failure of technology-led development. In the GCC, it is being quietly repeated.
Two further gaps compound the problem. Most developers make technology investment decisions without a rigorous view of what comparable developments are doing, where the technology market is heading, or where the genuine differentiation opportunity lies. And most commit capital without a clear return on intelligence framing: without understanding what the investment is worth in terms of resident retention, service charge premium, and brand differentiation.
Place Intelligence Design works the other way around.
Place Intelligence Design was developed and first applied in the GCC. The framework and the proof point are one and the same.
The work
The investment logic starts with competitive intelligence and what the development has promised. What technology, at what level of investment, is required to deliver it? And what does that investment return? The output is a strategy with a costed business case, structured for board sign-off and vendor briefing.
A portfolio-wide cost model: hardware-driven, defensible.
Applied across a major Abu Dhabi master developer’s portfolio, 14 developments covering multiple asset classes: residential, retail, office, hospitality, sports, and public realm. IoT systems specified, sensor and device types determined, and portfolio CAPEX modelled across the full asset class range. Rates established from two developments in full detail, calibrated across the remainder.
Making technology investment decisions for your portfolio? Let’s talk about whether the logic connects to what you’ve promised.
This framework connects to
Questions developers ask about place intelligence design
No, and the distinction matters. Smart city planning starts with available technology and asks how to implement it. Place Intelligence Design starts with the experience that the development has promised, grounds investment decisions in competitive intelligence, and asks what technology is required to deliver it and what that investment returns. The difference in starting point changes everything downstream: the tier architecture, the systems specification, the investment logic.
Yes. Where a PED engagement has been completed, PID builds directly on its outputs; the experience intent is already defined. Where PID is applied independently, the first phase of work performs the equivalent function: competitive and market intelligence, then experience block mapping before any technology is specified. The starting question is the same either way: who lives here, what did we promise them, and where does the differentiation opportunity lie?
The primary focus is hardware and IoT: sensor and device specification, coverage logic, and the business case that supports investment decisions. Software and platform decisions are addressed at the level of integration requirements and vendor strategy: what the hardware layer needs to connect to, what data architecture is required, and whether to build, buy, or partner for each capability.
A strategy with a costed business case and a return on intelligence assessment. The deliverables are: a competitive and market intelligence report, an experience block map and user journey analysis, a tiering structure matched to the portfolio’s positioning levels, a technology partnership and vendor strategy, a hardware specification and portfolio CAPEX ROM, a return on intelligence assessment, and a phased implementation roadmap. The strategy is designed to be taken into board sign-off and then used to brief vendors.
