01
Modernization of systems, data, and applications
Migrate outdated infrastructure and applications to cloud-native, scalable environments to enable agility, performance, and cost-efficiency.
Plan modernizationArtificial Intelligence for Real Estate
AI strategy
Data engineering
Predictive analytics
Tenant experience
Asset performance
AI-driven real estate transformation for owners, operators, developers, and investors.
Real estate is at a technological turning point. Sphere helps investors, developers, brokers, operators, and fund managers unlock new levels of value through modernization, data strategy, advanced analytics, and responsible AI.
Leasing automationLease summarizationTenant copilotsPredictive maintenanceInvestment analyticsProperty knowledge searchVirtual designAI planning
Leasing automationLease summarizationTenant copilotsPredictive maintenanceInvestment analyticsProperty knowledge searchVirtual designAI planning
20years of excellence supporting complex technology programs
230delivered projects across enterprise software and data
200+senior specialists across engineering, data, and AI
94%satisfaction rate from Sphere’s existing industry page proof points
Key solutions we deliver
Modernize the real estate technology stack before AI becomes another disconnected tool.
Sphere helps real estate organizations integrate modernization, data strategy, and advanced analytics so AI can improve portfolio decisions, operations, tenant engagement, and investment workflows.
02
Advanced and predictive analytics
Improve forecasting, pricing, and customer insights with ML models tailored for occupancy trends, NOI growth, and asset valuation.
See analytics use cases03
AI strategy and implementation
Use generative and analytical AI to drive tenant engagement, optimize asset performance, and automate leasing, maintenance, and investment workflows.
Build the roadmap04
Data strategy and engineering
Build a future-proof data foundation with governed, structured, and real-time access to proprietary and third-party property data.
Audit the data stack
Portfolio intelligence
Bring AI to the portfolio layer without adding visual or operational clutter.
Owners, operators, developers, and investors need a connected view of assets, tenants, maintenance, leases, and market signals. Sphere helps turn fragmented systems into a portfolio intelligence layer.
The goal is not another dashboard. The goal is a cleaner decision layer across leasing, operations, investment, and tenant experience.
Portfolio signals connected across property, tenant, lease, and market data
AI recommendations that support asset performance and operational decisions
Responsible AI patterns designed around explainability, fairness, and transparency
AI across the real estate value chain
Put AI where real estate work already happens.
The use cases stay grounded in Sphere’s current real estate messaging, with clean image-led cards that keep the page premium, spacious, and easy to scan.
Lease intelligenceSummaries, key terms, and exception handling without manual review overload
Intelligent lease summarization and compliance
Extract insights from thousands of lease documents with gen AI models that summarize, compare, and flag critical terms.
Use when lease data is trapped in PDFs and legal review cycles.
Tenant copilotResident support, routing, and service communication in one refined workflow
AI copilots for tenant experience and operations
Deploy bots to manage service requests, engage tenants, and guide lease renewals while learning from real interactions.
Use when property teams need faster service without adding headcount.
Investment AIAcquisition signals, portfolio visibility, and faster investment decision support
Investment decision acceleration
Ask where to invest capital and receive AI-prioritized property targets backed by structured and unstructured data.
Use when decisions depend on market, property, and portfolio signals.
Virtual designMore compelling visual experiences for leasing and space planning
Virtual design and visualization
Let prospects visualize spaces with generative design tools personalized by preferences, layout, and budget.
Use when leasing and conversion need a stronger digital experience.
Planning intelligenceDesign decisions informed by physical-space and operational data
AI-driven architectural planning
Blend IoT and computer vision with generative models to design spaces that maximize traffic flow, comfort, and energy efficiency.
Use when physical-space data can improve planning and tenant experience.
Maintenance AIBetter building visibility before issues impact tenants and operations
Predictive maintenance for building systems
Use AI to monitor HVAC, elevators, lighting, and other critical systems in real time and predict component failures before they happen.
Use when operating cost, uptime, and tenant satisfaction depend on faster action.
How we help you scale AI
Responsible AI for leasing, operations, investment, and portfolio strategy.
Sphere works with owners, operators, and developers looking to embed AI into the core of their portfolio strategy, from lease-up to asset repositioning, tenant engagement, and fund-level analytics.
Custom Gen AI prompt libraries
Reusable, secure prompts tailored to internal systems, tenants, and legal frameworks.
Controlled AI workflows
AI enablement roadmaps
C-suite alignment and organizational transformation for long-term value capture.
Strategy to execution
Modern tech stacks with guardrails
Secure, scalable infrastructure integrated across PMS, CRM, IoT, and BI tools.
No AI sprawl
Proprietary data harnessing
Structure tenant behavior, asset performance, and third-party property data into a real-time analytics engine.
Data advantage
AI innovation cannot come at the cost of accountability.
Every solution Sphere builds is designed with responsibility in mind, including fairness, compliance, explainability, and transparency.
Use-case risk, regulatory alignment, and explainability are evaluated from day one.
Responsible AI in real estate
Build AI that can support decisions without creating new compliance risk.
Real estate AI can touch leasing, tenant communication, fair housing-sensitive workflows, investment prioritization, and operational decisions. That means the solution needs the right controls, not just the right model.
By the numbers
Sphere brings the engineering, data, and AI depth real estate teams need to scale responsibly.
These proof points remain from Sphere’s current real estate industry page and support the refreshed experience.
Experience
20 years of excellence
Long-running enterprise software, modernization, and data engineering depth.
Technology partner for complex programs
Delivery
230 delivered projects
AI, software, modernization, integration, and data work across enterprise contexts.
Built for execution
Team
200+ senior specialists
Engineering, AI, data, cloud, modernization, and product delivery support.
Depth across disciplines
Satisfaction
94% satisfaction rate
A client confidence proof point from the current page.
Trusted delivery partner
Choose your starting point
Start with the real estate AI decision you need to make.
Each CTA maps to a concrete buyer need: strategy, data readiness, or a focused pilot.
Strategy
Real Estate AI Opportunity Map
Prioritize AI use cases across leasing, tenant experience, maintenance, investment analytics, and portfolio operations.
Map AI to Our Real Estate StrategyData foundation
Property Data Stack Review
Assess PMS, CRM, IoT, BI, lease, tenant, and third-party data readiness before scaling AI.
Audit Our Property Data StackPilot
Real Estate AI Pilot Plan
Define the first pilot, model approach, user workflow, guardrails, and delivery roadmap.
Design an AI PilotBuild an AI roadmap for your real estate portfolio.
Start with a real estate AI opportunity map, a property data stack review, or a focused AI pilot plan tied to leasing, operations, tenant experience, maintenance, or investment analytics.