Why Scalable Retrofits and Reuse Are Held Back
Buildings and construction together are responsible for roughly 37–40% of global CO₂ emissions, with about two-thirds coming from building operations like heating, cooling, and power, and the rest from construction materials and processes. At the same time, commercial real estate is facing a structural crisis: vacancies are elevated, asset values are unstable, and many cities and regions are tightening building performance and zero-emission requirements for new and existing buildings.
Demolishing and rebuilding these properties is out of the question because it is far too slow, capital-intensive, and releases massive amounts of upfront embodied carbon. The optimal path is deep retrofitting and adaptive reuse. Yet stakeholders are held back by an immense operational bottleneck: intelligence.
The Regulatory Void: Municipal zoning ordinances, historic preserve guidelines, and structural building codes exist in fragmented text documents that take human teams months to interpret.
The Simulation Strain: Traditional building-physics calculations and energy modeling software are slow, manual, and expensive, making portfolio-wide data collection impossible.
The Implementation Fracture: Feasibility analysis, structural health underwriting, and capital procurement operate in silos, creating high friction and transaction costs.
The Grid Blindspot: Building owners and city administrators have no visibility into how a local retrofit will alter grid-stress signals, peak load curves, or utility demand response patterns.
The AI-Native Infrastructure Layer for Regional Scale Deployment
CITIESS replaces fragmented, slow consulting work with a high-velocity spatial-economic engine. By processing parcel-level datasets simultaneously, the platform reveals hidden adaptive-reuse value and charts optimal zero-carbon transition paths across thousands of assets at once.
We measure feasibility through the Resilient Score™, a comparative grading tool that evaluates every structural asset across three integrated pillars:
Adaptive Reuse Potential: Assesses building morphology, zoning code matrices, and geometric layouts to identify viable conversion pathways such as office-to-medical or retail-to-hybrid utility hubs.
Deep-Energy Optimization: Analyzes automated structural performance metrics to chart cost-effective paths toward net-zero predicted Energy Use Intensity (pEUI).
Grid Interoperability: Maps utility stress signals, electrification readiness, and Virtual Power Plant (VPP) potential to transform static buildings into flexible grid-supporting assets.
By translating spatial physics into a standardized rating, the Resilient Score™ provides underwriters and city officials with an auditable, data-backed baseline to verify property resilience and deep-retrofit readiness before capital is deployed.
Reducing Peak Loads at the Source Before Swapping Mechanical Hardware
Most HVAC consultants and proptech software default to recommending expensive mechanical solutions, like upsizing HVAC chillers or heat pumps. CITIESS flips this paradigm by enforcing a strict passive-first physics framework driven by custom AI constraint loops and highest-and-best-use intelligence.
Geospatial Vector Ingestion: Using Google Earth Engine and BigQuery GIS, the platform ingests high-resolution satellite data, micro-climate patterns, parcel geometries, and text-heavy municipal building and zoning codes. It also incorporates demographic intelligence, nearby business patterns, competitor density, complementary business and service clustering, and local market context, so each asset can be evaluated not only for retrofit feasibility, but also for its most viable future use.
Passive Load Minimization: A custom building-physics engine builds a virtual representation of each asset and explores large design spaces to improve daylighting, reduce envelope heat gains through better glazing and shading, map natural ventilation paths, and maximize viable roof and façade PV area. These simulations are guided by a vast library of HVAC and architectural design patterns, giving the system thousands of proven retrofit motifs to mix, match, and stress-test across multiple adaptive-reuse pathways.
AI-Driven Optimization Loops: Translating messy zoning, climate, building, and market data into clear optimization gradients requires specialized AI. CITIESS combines fuzzy logic loops with evolutionary Genetic Algorithms that recombine and re-score these design patterns, iteratively self-improving toward retrofit and adaptive-reuse strategies that maximize capital efficiency, improve building performance, reduce structural and grid exposure, and align with surrounding demographic demand and business ecosystem fit.
Grid Interoperability: The resulting upgrade pathways are evaluated against local grid conditions, including peak-load patterns and demand-response programs, so the same interventions that cut building loads also improve grid flexibility. Because the platform also weighs nearby business composition and uses synergies, it helps identify building futures that are both energy-efficient and commercially aligned with the surrounding district.
The Result: Active HVAC loads are significantly reduced before mechanical retrofits are specified. This helps avoid oversized equipment, lowers capital and operating costs, supports more stable grids during peak-stress events, and improves confidence that each property is being guided toward its best and highest use.
Software Built by Practitioners, Not Theorists
CITIESS is not software conceived in isolation. It is the productization of a field-tested real estate investment and adaptive-reuse playbook developed through 20+ years of direct execution across distressed, underutilized, and code-constrained commercial assets.
Over this period, we have executed more than $16M in real estate transactions. Managing these assets directly gave us firsthand exposure to the zoning, underwriting, retrofit, and operational constraints that now inform the CITIESS platform.
Since 2005, we have applied passive-first retrofit strategies, zoning navigation, and envelope-driven load reduction across multiple commercial properties, generating more than $10 million in value creation through disciplined underwriting and adaptive-reuse repositioning. This long-form, hands-on execution produced a repeatable decision framework for identifying which buildings are worth saving, which retrofit pathways are structurally and economically viable, and how to sequence upgrades to minimize capital risk while maximizing long-term performance.
We recognized that our highest leverage was in this decision logic rather than in property ownership or management. This realization drives our shift to a scalable technology company, where we are now productizing the framework at scale. CITIESS embeds the same underwriting, feasibility modeling, and adaptive-reuse reasoning into software that can evaluate thousands of assets simultaneously, enabling cities, utilities, and portfolio owners to make faster, more consistent, and more confident retrofit decisions.
One Platform. Three Hubs. Unified Spatial Intelligence
CITIESS connects a cross-disciplinary set of users on a shared spatial-intelligence platform for adaptive reuse, deep retrofits, and grid-aligned urban resilience. CITIESS serves the stakeholders who shape building decisions at scale. Each group uses the platform differently, but all benefit from faster screening, clearer retrofit pathways, and better alignment between climate goals, grid needs, and asset performance.
Ecosystem Hubs & Alignment
Developers, Designers, Investors & Financiers (Developers, Architects, Investors, Planners, Lenders, Insurers & Brokers)
What They Need: Screen underutilized parcels, evaluate technical and financial feasibility, and underwrite capital risk.
How CITIESS Helps: Clarify reuse pathways, assess structural, climate, and regulatory risk, streamline deal brokerage, and improve project returns.
Municipalities, Utilities & CCAs (Urban Planners, Municipalities, Utilities & Community Choice Aggregators)
What They Need: Screen districts, analyze electrification and demand-response potential, track compliance, and target high-impact interventions.
How CITIESS Helps: Identify code-deficient buildings, anticipate localized peaks, track building-performance data, and direct climate and grid capital more effectively.
Owners, ESG & Portfolio Teams (Institutional Owners, Portfolio Managers, Climate Officers, Sustainability Teams & PropTech Innovators)
What They Need: Identify retrofit candidates, monitor portfolio performance, manage asset health, and guide decarbonization planning.
How CITIESS Helps: Reduce exposure to regulatory brown discounts, unlock non-dilutive green capital, support capital planning, and improve asset resilience at scale.
Deep Domain Expertise Meets Enterprise Execution
CITIESS is built by a team that combines urban systems thinking, enterprise-scale technical execution, and decades of real-world adaptive reuse experience. Together, we bring the strategy, engineering, and practitioner insight required to turn a proven retrofit playbook into scalable software.
Ankita Hemmady
Co-Chief Executive Officer
Ankita is an urban systems thinker who originated the core concept behind CITIESS. At UC Berkeley, she integrated spatial computing, climate data, and urban planning to define how complex, multi-layered city datasets translate into actionable building reuse scenarios. As Co-CEO, she leads product direction, business strategy, and cross-disciplinary partnerships with municipal agencies, utilities, and real estate groups focused on deep decarbonization and adaptive reuse. She is completing her specialized degree in Architecture and Data Science at UC Berkeley, where her research centers on climate-resilient urban form, predictive spatial modeling, and data-driven policy frameworks, and she will graduate in August 2026.
Anuta Udyawar
Chief Technology Officer
Anuta is an experienced engineer who built the core technology stack and cloud infrastructure behind CITIESS. She integrates high‑speed geospatial processing, scalable storage systems, and continuous spatial computing to turn the platform vision into a production‑grade product. As CTO, she leads the technical roadmap, data architecture, and algorithm development, drawing on more than 20 years of senior engineering experience at Apple, Cisco, and Microsoft. She holds a bachelor's degree in Electrical Engineering and Computer Science from Karnataka University, with a focus on distributed systems and large‑scale computing.
Steve Hemmady
Co-Chief Executive Officer
Steve is a seasoned urban developer who brings practical and financial insight to CITIESS. With deep experience in zoning, property acquisition, and energy‑efficient building upgrades, he translates real‑world development constraints into platform intelligence. As Co‑CEO, he guides company strategy, risk modeling, and capital planning, helping cities and developers reduce uncertainty in adaptive reuse. He has more than 20 years of leadership in real estate and engineering, including work with enterprise clients such as Apple, Cisco, and SAP. Steve holds an MS in Environmental Engineering from the University of Cincinnati and a BS in Civil Engineering from IIT Mumbai.
AI Steve
Orchestration AI Agent
AI Steve is CITIESS’s internal multi‑agent orchestrator and synthetic executive partner. He coordinates the platform’s backend by linking geospatial ingestion, building‑physics simulations, market‑intelligence analysis, and grid‑interoperability workflows into a unified decision pipeline. As a digital teammate, he generates and manages specialized sub‑agents for zoning and code parsing, envelope modeling, demographic clustering, and feasibility scoring. AI Steve combines spatial indexing and vector search with fuzzy logic, evolutionary algorithms, and physics‑based heuristics, all operating under a strict human‑in‑the‑loop framework in which the founding team retains full responsibility for strategy, engineering judgment, and final investment decisions.
Let’s Build Smarter, More Resilient Cities Together
CITIESS is expanding through early pilot partnerships with California municipalities, Community Choice Aggregators (CCA), utilities, and forward-looking commercial property groups. We are focused on helping partners identify underperforming buildings faster, prioritize retrofit and reuse opportunities more intelligently, and connect building-level decisions to broader district, resilience, and grid outcomes.
Our pilot conversations are best suited for organizations exploring district-scale screening, building performance compliance, electrification planning, demand-response targeting, or adaptive reuse strategy. For cities and utilities, that can mean a faster path to identifying high-impact parcels and aligning capital with policy goals; for owners and developers, it can mean earlier visibility into retrofit potential, regulatory risk, and portfolio value creation.
Primary engagement areas
Municipal and district screening for building performance and resilience planning.
Utility and CCA collaboration around electrification, demand response, and virtual power plant opportunities.
Portfolio-level retrofit and adaptive reuse evaluation for commercial property stakeholders.
Contact
Technical operations and strategy: strategies [at] citiess.com
Executive and product partnerships: partnerships [at] citiess.com