Digital Twin for Real Estate

Operators often struggle to consolidate building data from disparate systems—including core building systems using different protocols—into one cohesive picture. We build a digital twin starter layer for a single building that provides operational transparency without the cost of a portfolio-wide architecture.

• Sensor Onboarding. Ready-made connectors for BACnet, Modbus, and OPC UA bring existing telemetry into the platform without building a custom integration layer.
• Knowledge Graph Templates. We apply template models for knowledge graphs for various building types and physical systems, and digital representations are linked by a proven structure rather than custom modeling from scratch.
• Building Operations Dashboard. One dashboard shows the health of your building, so the full picture of the facility is visible immediately, without the need to build a multi-portfolio data lake at the start.

Static renders and floor plans no longer convince a tenant or investor who wants to see the actual look of a space before signing a deal. We build a compact interactive 3D tool for a single property, without enterprise-level complexity.

• 3D Property Tour. We create a compact, interactive tour of the property with basic view and lighting simulation, designed specifically for the needs of mid-market leasing and sales, rather than the scale of a developer’s mega-project.
• Unit Availability Widget. We embed a unit availability widget directly into the developer’s or management company’s existing website, so current prices and statuses are displayed without switching to a new CRM or rebuilding the web platform.
• View & Sunlight Preview. We implement a simplified simulation of views and lighting for a specific object without the full geospatial context of the city; large-scale master plans on CesiumJS or Unreal Engine with deep CRM integration remain a separate upgrade for the enterprise level.

Full monitoring of all building systems at once is a costly and long project that often stops at the budgeting stage. We start with the equipment whose failure costs the most and show results on it before scaling the solution further.

• Critical Asset Monitoring. We connect telemetry from only two or three of the most expensive pieces of equipment, so implementation costs much less than the cost of full monitoring, and the riskiest failures are still controlled.
• Anomaly Alerts. We send notifications about deviations from the norm directly to the email or SMS of the responsible technical personnel, without building a full-fledged CMMS interface—a solution for teams that need a signal, not a new management system.
• Maintenance Trends. We accumulate maintenance history and equipment readings with basic trend visualization for one or several facilities, so the technical team sees wear dynamics without needing an enterprise-level analytics platform.

An operator physically cannot monitor thousands of variable building parameters and check a separate dashboard every time to find the answer to a simple question. This enhances digital twin property management by providing natural language access to building data. We build an AI tool that answers questions in natural language based on a single building’s data without transitioning to autonomous systems’ control.

• AI Building Assistant. We deploy a chat interface based on retrieval-augmented generation on top of a specific building’s data, so the operator asks questions like “which air conditioning unit consumed the most energy on the weekend” and gets an instant answer instead of manually searching through dashboards.
• Weekly Summary Reports. We generate an automatic weekly report with key operational metrics, so the owner or operator gets a concise picture without needing to check the system manually every day.
• Recommendation-Style HVAC Insights. AI analyzes HVAC performance and offers recommendations for schedules and settings in a prompt format for the operator; the human makes the decision, while full autonomous control is available separately in the Scale-Up enterprise tier.

Deploying enterprise-level cloud infrastructure with multi-regional complexity is an unnecessary cost for the owner of several properties who needs a predictable hosting model rather than an architecture for a REIT-portfolio scale. We deploy a compact version of the cloud platform designed specifically for such a volume.

• AWS IoT Deployment. AWS IoT Core runs in a single region with predictable hosting costs, making it ideal for portfolios of one to ten properties than a multi-region enterprise deployment.
• Grafana Dashboards. We use ready-made Amazon Managed Grafana dashboard templates for typical building monitoring scenarios, so operational visualization is available immediately after connection, rather than being built from scratch for every client.
• TwinMaker Foundation. The platform runs on AWS IoT TwinMaker and SiteWise, avoiding future migration work as several Azure services, including Azure AI Personalizer, Anomaly Detector, Azure Spatial Anchors, and Azure IoT Central, are being retired.

Full BMS and IoT integration with an existing building management system all at once is a risky and expensive project that not every operator is ready for. We connect the existing BMS quickly and safely, leaving deep architectural immersion for later, when the business is ready.

• BMS API Connector. Existing BMS systems stay in place. The first phase connects them safely, leaving deeper integration until the business is ready for it.
• Read-Only Data Sync. We start by reading data in read-only mode without deep bidirectional synchronization with financial ERP so the operator gets visibility into building metrics before investing in more complex integration.
• Integration Roadmap. We outline a clear, phased plan for expanding from basic monitoring to full bidirectional integration, so you can upgrade when you’re ready and inexpensive way when the business itself grows, not in advance.

A full energy optimization and decarbonization platform with capital investment simulation across the entire portfolio is a months-long project, whereas an owner often needs a quick and clear first step. We build a compact energy module that provides visibility and a first solution without the cost of full-scale modeling.

• Energy Dashboard. We visualize consumption dynamics over the last 12 months in one dashboard, without complex “what-if” capital investment modeling, so owners see energy trends right away before investing in deeper analytics.
• Retrofit ROI Calculator. We calculate a simplified payback for replacing a specific piece of equipment, for example, one chiller, without full decarbonization simulation for the entire portfolio, so the decision to modernize can be made based on one specific use case.
• Resident Energy Dashboard. We display a basic widget to tenants with the current consumption level—a light version of a gamified sustainability dashboard—so engaging residents in saving starts without developing a full-fledged module with ratings and achievements.

Enterprise-level support with 24/7 SLA and guaranteed response time is expensive and often exceeds the real need of an owner of one or a few properties. We offer a more affordable support model with a clear path to full enterprise-level when the portfolio actually grows.

• Monthly System Health Check. We conduct a monthly check of the digital twin’s overall operational health instead of a continuous 24/7 SLA, so the client pays for support proportional to the scale of their facility.
• On-Demand Incident Response. We respond to incidents on-demand, rather than under an expensive enterprise contract with guaranteed response time, so support remains affordable for an operator of one or a few properties without overpaying for a service level they do not yet need.
• Enterprise Upgrade Path. We outline a clear upgrade path from the starter package to a full enterprise IoT data fabric and agentic AI, so as the client’s portfolio grows, the transition to the next level happens according to a pre-known plan, not as a separate project from scratch.