Empower smart city design with AI—integrate IoT data, optimize traffic, leverage dashboards, future-proof planning, and accelerate projects efficiently.


Smart city planning requires integrating transport, energy, communications, environmental, and social infrastructure into a coherent urban system, all validated against long-term sustainability, resilience, and liveability targets. Leaders and urban data specialists need platforms that can process multi-source city data, model urban system interactions, and validate smart city scenarios before infrastructure investment is committed. DBF's spatial analytics platform is purpose-built for the complexity of smart city planning.

Smart cities are not defined by technology, they are defined by the quality of data-driven decisions behind their infrastructure. DBF enables planners and engineers to model smart city system interactions, validate accessibility and sustainability targets, and compare urban development scenarios against multi-dimensional KPI frameworks, from 15-minute city metrics to energy system efficiency and mobility network performance.

Import existing city data: mobility, energy, demographics, and land use
Define smart city targets: sustainability, accessibility, equity, and resilience KPIs
Model urban system interactions across transport, energy, and social infrastructure
Generate smart city development scenarios and validate against KPI framework
Compare scenarios using multi-dimensional performance dashboards
Export validated plans and analytics reports for government and investor stakeholders
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The smart city of the future is built on data and planning requires platforms that can handle that data at scale. DBF equips Project Authorities and urban planners with the AI analytical tools to design smarter, more resilient, and more equitable cities by making data-driven decisions at every stage of the planning process.

Software that integrates urban data systems and validates smart city scenarios, including transport, energy, accessibility, and sustainability, before infrastructure investment.
DBF adds AI scenario generation and multi-system KPI validation on top of spatial data, going beyond mapping to generate and compare actionable planning options.
Yes. DBF models interactions between transport, energy, social infrastructure, and land use, validating smart city scenarios against cross-system performance targets.
DBF is used by government agencies and municipal planners for smart city feasibility, masterplanning, and infrastructure investment validation.

In a short demo, you’ll generate options, compare scenarios, and walk through KPI reporting for your facility or masterplan context.
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