Sold by: Sphere
Sphere implements commercial real estate intelligence on AWS, unifying property, transaction, zoning, market, and portfolio data to accelerate diligence and strengthen investment decisions.
Overview
Real Estate Analyzer Implementation Services on AWS
Sphere provides professional services to design, build, integrate, and deploy commercial real estate intelligence solutions within the customer's AWS environment. The engagement helps investment, acquisitions, lending, and asset management teams consolidate property, transaction, zoning, market, geospatial, and portfolio data into a unified analytical workflow.
The Challenge: Fragmented CRE Data Slows Decisions Commercial real estate diligence often requires teams to gather comparable transactions, zoning records, demographic indicators, economic data, portfolio information, and underwriting assumptions from separate systems. Sphere brings these sources together on AWS so investment teams can evaluate opportunities and monitor assets without relying on disconnected manual research.
Why Sphere Sphere is an AWS Partner with certified architects across cloud, data, AI, and security, including Data & Analytics and Generative AI competencies. Sphere brings 21 years of technology delivery experience, 600+ projects, and 300+ clients across enterprise environments.
What Sphere Delivers Implementation services can include AWS architecture design, CRE data integration, property and comparable transaction analysis, zoning and regulatory monitoring, geospatial analysis, underwriting workflows, portfolio dashboards, market and economic data integration, security configuration, monitoring, testing, deployment, documentation, and knowledge transfer.
Investment professionals retain authority over underwriting assumptions, valuations, acquisitions, dispositions, financing, and portfolio decisions. AI-generated findings support analysis and do not replace investment judgment.
AWS Services Used Sphere implements these capabilities using services such as Amazon SageMaker AI, Amazon Bedrock, Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, Amazon Athena, Amazon QuickSight, Amazon Location Service, AWS Key Management Service, and Amazon CloudWatch within the customer's AWS environment.
CRE Data and Platform Integration Sphere can integrate AWS-based workflows with customer-licensed platforms and data sources including CoStar, MSCI Real Assets data, Reonomy, Yardi, MRI, GIS platforms, and investment management systems. Integrations can exchange property records, transaction data, portfolio information, underwriting assumptions, geographic data, and other information required for the agreed use case.
Five-Phase Implementation Approach
- Discovery and Assessment - A typical discovery and investment workflow audit runs 2 weeks and maps systems, data sources, underwriting models, and diligence workflows.
- Data Integration and Model Configuration - Connect approved CRE data providers and investment systems, ingest historical transaction and portfolio data, and configure models to reflect the customer's strategy and underwriting standards.
- Workflow Configuration and Testing - Configure dashboards for acquisitions, asset management, lending, or portfolio committee workflows, followed by iterative testing with customer stakeholders.
- Pilot and Validate - Run a supervised 30-day pilot on active opportunities or portfolio assets, with AI-assisted analysis operating alongside the customer's existing process.
- Deploy and Enable - Move the solution into production with continuous data refresh, documentation, knowledge transfer, monitoring, and optimization.
Implementation Timeline For standard integrations, live workflow on the first opportunities typically takes 6 to 10 weeks from contract signature. The 30-day supervised pilot runs in parallel with the customer's existing process.
Typical Deliverables Deliverables may include AWS solution architecture, CRE data pipelines, analytical workflows, underwriting and scoring models, portfolio dashboards, geospatial integrations, monitoring configuration, pilot findings, technical documentation, and deployment support.
The exact AWS architecture, services, integrations, data sources, deliverables, and implementation scope are defined with the customer before the AWS Marketplace private offer is issued. Customer investment data remains isolated within the customer's AWS environment. Third-party data licensing and AWS infrastructure or service usage charges are separate from Sphere's professional services fees unless specifically included in the private offer.
Get Started The engagement begins with a discovery conversation to review the customer's AWS environment, investment workflow, data sources, and priorities. Sphere then defines the recommended architecture, pilot scope, deliverables, and private-offer structure.
Highlights
- Accelerate CRE diligence with property, transaction, zoning, market, and portfolio intelligence on AWS. Sphere connects customer-approved data sources and investment systems into one analytical workflow for comparable analysis, underwriting support, geospatial insight, and ongoing portfolio monitoring.
- Integrate platforms such as CoStar, MSCI Real Assets data, Reonomy, Yardi, MRI, GIS, and investment management systems within a purpose-built AWS architecture. Preserve existing tools while creating a unified data foundation for acquisitions, lending, asset management, and portfolio analysis.
- Use a five-phase delivery model with a 2-week discovery phase and supervised 30-day pilot. For standard integrations, live workflow on the first opportunities typically takes 6 to 10 weeks. Deliverables can include data pipelines, models, dashboards, pilot findings, documentation, and knowledge transfer.
Details
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Support
Vendor support
Sphere provides support throughout the Real Estate Analyzer implementation through its cloud engineering, data, and Client Success teams. Engagement Support
Support includes AWS architecture assistance, CRE data integration, analytical and model configuration, geospatial integration, dashboard implementation, testing, deployment, troubleshooting, documentation, monitoring, and optimization within the agreed project scope.
The engagement typically includes a 2-week discovery and workflow-audit phase, data integration and model configuration, iterative workflow testing, a supervised 30-day pilot, and production deployment. Typical deliverables may include architecture documentation, CRE data pipelines, analytical workflows, dashboards, integrations, pilot findings, monitoring configuration, and technical documentation.
Contact and Response Times Customers can contact Sphere at https://www.sphereinc.com/contact/ . Sphere responds to AWS Marketplace customer inquiries within two business days unless otherwise specified in the customer's private offer.
Troubleshooting, service issues, and commercial questions should be submitted through the same contact channel. Refund requests or other commercial adjustments are handled according to the applicable private-offer terms. Ongoing managed support after production deployment can be scoped separately.