Agentic Assets launches AI-native CRE deal OS EQUIRE

Agentic Assets on July 14 launched EQUIRE, a governed AI operating system for institutional commercial real estate deal teams that links every material number back to its source. The platform is designed to speed sourcing, underwriting and diligence without loosening review controls.

Why it matters: - Institutional commercial real estate teams spend heavy time on manual data entry, diligence tracking and memo drafting. - EQUIRE is built to help teams analyze more deals without weakening diligence. - The platform keeps a source trail for each material number, which matters when investment decisions need to be defended to committees, lenders and investors.

What happened: - Agentic Assets on July 14 announced EQUIRE, an AI-native operating system for institutional commercial real estate deal teams. - The company was founded by two finance professors, Dr. Cayman Seagraves and Dr. Stace Sirmans. - EQUIRE handles deal sourcing, intake, document abstraction, underwriting support, diligence tracking, valuation handoffs and investment committee memo preparation. - The launch positions EQUIRE around “deal intelligence you can defend.”

The details: - EQUIRE converts offering memoranda, rent rolls, trailing-twelve statements and leases into structured underwriting inputs. - The platform flags conflicts and ties each material number back to its source page. - EQUIRE adapts to a team’s own model, memo format, diligence checklist and approval rules. - The system uses dozens of specialized agents to run work end to end. - Teams control how much autonomy the platform gets. - EQUIRE is designed to complement existing models and systems of record rather than replace them. - Sourcing agents can screen a team’s mandate against more than 100,000 active U.S. commercial real estate listings plus off-market channels. - Qualified, thesis-fit prospects become source-backed records that move into the pipeline. - The platform grounds underwriting assumptions in data from the Federal Reserve’s FRED database, the U.S. Census Bureau and the Bureau of Labor Statistics. - EQUIRE includes role-based access, organization-scoped isolation, audit trails, approval gates on consequential actions and configurable AI routing with zero data retention. - Each released value carries its source, page, reviewer and approval state.

Between the lines: - EQUIRE is taking aim at a common problem in CRE tech: software that speeds up output but still leaves analysts checking everything line by line. - The product is built as AI-native from the start, which Agentic Assets says separates it from legacy deal-lifecycle platforms that are adding AI on top of older systems. - The governance features suggest the company is pitching to institutions that need speed without giving up control over sensitive deal data. - The focus on source-linked records is meant to preserve the logic behind each recommendation, not just the final number.

What's next: - EQUIRE is available through private onboarding for institutional commercial real estate teams. - Teams can request a demo at equire.ai. - Agentic Assets says EQUIRE is one of its two flagship platforms, alongside Corbis.

The bottom line: - Agentic Assets is betting institutional CRE teams will pay for AI that speeds deal work only if every output stays tied to a source, reviewer and approval trail.