Real Estate Analyzer

Property evaluation for CRE investors and asset managers.

Sphere’s Real Estate Analyzer synthesizes location data, comparable transactions, zoning records, and economic indicators into a single platform for evaluating opportunities and managing portfolios. Investors and asset managers move faster on diligence and catch the regulatory and market changes that destroy investment theses overnight.

<12 mo

ROI payback for investment teams

Real-time

zoning and regulatory monitoring

On-demand

comparable transaction analysis

Weeks→Days

compression of the CRE due diligence cycle

CRE diligence is bottlenecked by fragmented data and manual analysis

Investors and asset managers know what they need to evaluate. The problem is that the underlying data lives in dozens of systems, the comparables require manual collection, and the regulatory and economic signals that change a thesis arrive too late to act on. The result is missed deals, slower decisions, and avoidable post-acquisition surprises.

1. Diligence cycles are losing deals to faster competitors

Standard CRE due diligence runs 30–90 days, with redevelopment and complex transactions stretching to six months or more. Buyers with integrated, AI-assisted workflows are closing analytical work in days, not weeks — and winning deals on speed.

2. Market data is fragmented across dozens of sources

Comparable transactions, zoning records, environmental databases, demographic indicators, and economic forecasts each live in separate systems with separate update cycles. Manual aggregation introduces errors and slows everything down.

3. Regulatory and economic shifts can destroy a thesis overnight

A zoning change, an interest rate move, or a demographic trend reversal can turn a strong investment into a problem. Most teams catch these changes in the next quarterly review, not in real time.

An AI layer that synthesizes the CRE data ecosystem

Sphere builds the analytical layer that pulls property, transaction, zoning, and economic data into a single workspace for evaluation and monitoring. Investment teams retain full judgment on every decision; the platform ensures that judgment is informed by the complete picture, refreshed continuously.

Outcomes

Investors and asset managers running on integrated, AI-assisted analytics make faster, better-informed decisions than those running on manual aggregation. Sphere’s Real Estate Analyzer is built for this shift — moving CRE diligence from a multi-week manual process to a continuous, data-informed workflow.

See it on your own pipeline

A 30-minute walkthrough on a sample of opportunities from your current pipeline, with comp analysis and risk monitoring live.

Use Cases

Multifamily investors

Comparable sales and rent analysis across submarkets, with zoning and demographic tracking. Faster diligence on competitive deals where speed determines who wins.

Portfolio monitoring tied to regional logistics demand, e-commerce penetration, and supply chain reshoring trends. Tenant credit and concentration risk analysis.

Industrial and logistics asset managers

Family offices and private capital

Streamlined diligence on direct deals without an institutional research team. Comparable analysis, zoning monitoring, and economic indicator tracking in one workspace.

Underwriting acceleration across mixed-use, office, and retail assets. Continuous monitoring of regulatory and economic shifts that affect existing portfolio holdings.

Commercial real estate firms

Real estate debt and lending

Loan underwriting acceleration with automated property valuation, comp analysis, and risk assessment. Portfolio-level monitoring of collateral assets with early warning on market and regulatory shifts that affect loan performance.

How it works: Sphere’s 5-step deployment process

Discovery and investment workflow audit

Sphere's solution architects spend 2 weeks mapping your investment management systems, data sources, underwriting models, and current diligence workflow. Deliverable: a Real Estate Analyzer Integration Blueprint.

Data Ingestion & Model Training

Connect to CRE data providers and your investment management system. Ingest 24+ months of historical transaction and portfolio data. Configure scoring and underwriting models to reflect your fund's strategy and standards.

Workflow configuration and team UX testing

Configure dashboards for acquisitions, asset management, and portfolio committee workflows. Three rounds of UX testing with senior investment professionals before pilot.

Pilot Deployment (Human-in-the-Loop)

30-day supervised pilot on active pipeline opportunities. AI scoring and comp analysis available alongside your existing process. Investment team feedback reviewed weekly before broader rollout.

Full Rollout & Continuous Learning

Production deployment across acquisitions and asset management workflows. Continuous data refresh on portfolio assets. Quarterly business review on diligence cycle time, deal velocity, and portfolio monitoring outcomes.

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ROI & business impact

Weeks→Days

Diligence cycle time reduced materially — measured against your own baseline during pilot

Faster

Faster deal velocity and improved win rate on competitive transactions

Reduced

Reduction in research and analyst hours spent on manual comp aggregation

<12 mo

ROI payback period: typically under 12 months for active investment teams closing 10+ deals annually

Let’s Connect

Trusted by

Flexible, fast, and focused — Sphere solves your tech and business challenges as you scale.

Luke Suneja

Client Partner

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Hear From Our Clients

Sphere Partners
Selah Ben-Haim VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

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Ben Crawford Senior Product Manager at Enova Financial

I would expect to be delighted. It’s been a really positive experience, working with Sphere, and I would expect you to have the same.

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Mark Friedgan CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. They bring innovative and well-considered solutions, consistently surpassing my expectations.

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René Pfitzner Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and work with us.

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Bruce Burdick Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. Their combination of offshore talent, pricing, and shift offsetting is hard to beat. They provide crucial augmentation to our in-house team. We simply couldn't achieve our production ambitions without their service.

Sphere Partners
Jemal Swoboda CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise to complete their tasks successfully, with the team easily scaled in either direction. The deliverables are always high-quality.

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Arthur Tretyak Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE…

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Lee Ebreo VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system. We augmented our development team capabilities using Sphere’s developer, who works very well with our Dev Lead in Chicago. Sphere’s developer was an expert in the new system, and continues to be an expert as we evolve it.

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Sphere in Numbers

We understand that actions speak louder than words and numbers
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Frequently asked question

No. Sphere’s Real Estate Analyzer is the analytical and synthesis layer on top of the data sources and systems you already use. CoStar, RCA, Reonomy, Yardi, MRI, and major investment management platforms are supported via certified integrations.

Sphere integrates with leading commercial CRE data providers for transaction, lease, and property data. Specific data partnerships are aligned to your asset classes and geographies during discovery.

Models are calibrated against your historical investment outcomes and your fund’s underwriting standards — not generic CRE benchmarks. Initial accuracy is validated during the pilot before broader rollout.

Yes. Fund-specific scoring models, underwriting assumptions, and screening criteria are core configuration during discovery. The platform reflects your strategy, not a generic template.

Off-market transactions can be loaded directly into the platform and incorporated into comp analysis. Private transaction data stays in your environment and is not shared across clients.

From contract signature to live workflow on first opportunities: 6–10 weeks for standard integrations. The 30-day supervised pilot runs in parallel to your existing process throughout the transition.

All deployments run in your cloud environment by default, with SOC 2 Type II controls, encryption at rest and in transit, and full role-based access. Sphere never aggregates client investment data.

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