Problem

PARES AI addresses the structural inefficiency of commercial real estate, a labor-intensive business that often requires localized teams and rising headcount to scale while operating on thin margins. CRE brokers also manage a fragmented stack of software for prospecting, CRM, underwriting, marketing, and transaction administration. The central pain is that valuable deal work remains manual and disconnected, slowing decisions and making it expensive to grow.

The killer use case is helping a broker move from identifying a target property to closing a transaction in one workflow: automatically updating transaction data, building prospect lists, conducting outreach, underwriting the opportunity, and producing marketing materials. For owners and investors, the corresponding value is better visibility into comps and hidden NOI opportunities, faster execution, and potentially improved property performance.

Product / Service

PARES combines an AI-powered commercial real estate platform with human-delivered brokerage and property-management services. Its brokerage offering covers valuation and advisory, investment sales, and 1031 exchanges; its property-management offering covers leasing, tenant management, accounting, and reporting. The company positions this as one firm with no hand-offs across the lifecycle from acquisition through management and disposition.

The underlying technology is an operating system built on proprietary data, with tools for valuation and underwriting, offering memorandums and broker opinion of value decks, deal distribution, asset management, and property management. For brokers, its workflow includes real-time CRM updates, property targeting and skip-tracing, an AI Underwriting Agent, and an AI Marketing Agent that can produce OMs and BOVs. PARES says this combination lets services be centralized and delivered faster and at a lower cost, while its website claims customer outcomes including increasing one property’s occupancy from 70% to 98%.

Market

PARES competes at the intersection of commercial-real-estate services, vertical SaaS, proptech, and AI-native workflow automation. Its closest practical alternatives include traditional investment-sales brokers and property managers, as well as point solutions for underwriting, deal management, marketing, and property operations. In the AI-native underwriting segment, comparable platforms include Cactus, Archer, Primer, and Blooma; legacy or adjacent workflow systems include Argus Enterprise, Dealpath, Coyote, and Yardi Investment Manager. Other CRE AI tools such as Prophia, Henry AI, CRE Agents, and Elise AI overlap with parts of PARES’s workflow, though PARES’s combination of software and managed services is broader.

PARES was founded in 2025, is an active Y Combinator Summer 2025 company, and is listed with a three-person team. PitchBook reports Y Combinator and CRETI as investors, $500,000 raised, and a generating-revenue status, although it does not disclose a revenue figure; therefore the company should be viewed as an early commercial-stage startup rather than clearly pre-revenue. Public traction consists of named customer testimonials from acquisition, ownership, and family-office users, including claims about previously unavailable sales comps, NOI improvements, delinquency collection, and the 70%-to-98% occupancy improvement, but the scale and independent verification of these results are not public.