Smart Capital Center

Remove the agents and a lender is back to reading documents, keying figures into spreadsheets and writing memos by hand. Agents extract and reconcile data from offering memorandums, rent rolls, operating statements and appraisals, build pro forma and discounted cash flow models, draft investment and credit memos, and monitor covenants, maturities and insurance across a portfolio, drawing on more than 1 billion market data points across more than 120 million properties.

Agents prepare the analysis, flag issues and recommend next steps, and people make every lending and investment decision. A recommended action, such as a checklist after a covenant breach, applies only when a team member approves it.

Every extracted value carries a confidence score and a link to its place in the source document, a second agent checks each extraction, figures are reconciled across documents such as the rent roll against the trailing twelve month statement, and discrepancies go to a reviewer.

Extraction accuracy, valuation error and a mapping to a model risk framework such as SR 11-7 are not published. The controls sit at the level of each figure: every value links to its exact place in the source document and carries a confidence score, every AI summary separates uploaded files from outside research with clickable sources, a second agent checks each extraction, and reviewers can correct any field directly.

JLL's director of asset management says processing a single financial statement fell from 30 to 40 minutes to 1 to 3 minutes, a 30 times productivity gain for its asset management team. KeyBank Real Estate Capital cut the time to prepare a financial model for a loan by 40 percent midway through implementation, and Centers Dynamic Partners underwrites value add retail deals four times faster, in a week instead of a month. Rose Community Capital, an affordable housing lender, calls the platform integral to its initial underwriting and loan analysis.

Retention terms for uploaded documents are not published. The cross client boundary is stated plainly: client data is never shared or used to train models for other clients, and the comparables a team builds from every deal it screens stay in that team's private database. Proprietary models run on private servers in the United States, and data is never sent to public AI models for training or processing.

Tenant, borrower and lease data inside uploaded documents is not covered by a published data processing agreement, retention schedule or subprocessor list. The privacy policy covers account holders: contact, professional and payment details, access and deletion on request, and no disclosure of non public personal information except where law requires it.

Smart Capital Center states SOC 2 Type II compliance, with several years of SOC 2 reporting under the International Standard on Assurance Engagements 3000, encryption at rest and in transit, single sign on and organization wide multifactor authentication through Microsoft Entra ID, Okta or Google Workspace. The report and auditor are not available to download. The platform goes through annual security and due diligence reviews, and banks, insurers and government agencies are among its users.

A regulator, licensing position or valuation standard is not stated. The platform does support lender reporting: statements standardize to the CRE Finance Council chart of accounts by default, with Fannie Mae and Freddie Mac charts available for agency reporting and a lender's own chart as an option.

Loan sizing on debt service coverage, loan to value and debt yield, borrower screening and credit memo drafting put the platform inside commercial real estate credit decisions, and nothing is published on fair lending, disparate impact or adverse action. Rose Community Capital says faster screening lets it direct capital to the projects and communities that need it most. People make every lending decision, and each figure traces to its source.

A guarantee, indemnity or correction route for a borrower or sponsor affected by an analysis is absent. What a lender can contest is traceable: every figure links to its source page with a confidence score, and documents from outside parties are accepted, rejected or questioned before they are used.

The paid data partners and any outside model provider are unnamed. The platform is model agnostic: proprietary models run on Smart Capital Center's own private servers, and a client can bring its own private model or a third party provider instead. Market data comes from its own collection, paid data partnerships and public sources such as county records and census data, and a firm can upload data from providers it already pays for.

Yardi, SS&C Precision and Midland Enterprise are named integrations, alongside other accounting systems and data platforms, so data enters once and flows from origination to servicing. Outputs feed a team's own Excel and ARGUS models, and reports export to PDF, Word or Excel.

The hosting provider is not named. The platform runs on private servers in the United States, client data never leaves the country, and a client can run its own private model or a third party provider in place of the proprietary ones.

Prices are listed by plan. Starter is free and covers sales comparables, market overviews and portfolio tracking. Professional adds deal underwriting, document capture and an AI analyst at $350 a property on monthly billing or $299 a property on yearly billing, with a free trial to start. Enterprise, which adds memo drafting, workflow automation and portfolio stress testing, is priced by the modules selected.

Investors, lenders and asset managers are the three buyers, with separate material for investors and for lenders and dedicated underwriting pages for retail, office, industrial, affordable and workforce housing, multifamily and mixed use property. Asset managers share the lending material. Teams also use it for student and senior housing, self storage, hospitality, medical office and data center property.