Problem

RealPact targets the administrative bottleneck behind real-estate transactions. Agents commonly spend 30–40 minutes retyping MLS and listing information into each contract; at roughly 400 contracts per year, that can exceed 200 hours of repetitive work. The manual process is also error-prone, creating incorrect addresses, terms, or disclosures that can delay or jeopardize deals. RealPact’s stated economic case is to eliminate about 25 minutes per contract, returning approximately 165 hours—or more than four workweeks—to an agent annually.

The killer use case is the moment immediately after a property showing. Clients are most likely to sign within roughly 15 minutes, but agents often cannot prepare paperwork until they return to the office. RealPact is designed to let an agent say, from a phone, “Make me a listing agreement,” so the contract can be prepared while the buying intent is still fresh.

Product / Service

RealPact is an AI-native transaction-management platform sold to real-estate brokerages. An agent supplies an address or uses a voice command; its AI agents retrieve MLS, deed, tax, parcel, permit, and other property records, then draft and populate contracts. The system supports brokerage-specific templates, maps data to the right fields, reviews documents, organizes transaction materials, and tracks deadlines, moving work that takes hours today into a workflow intended to take minutes.

The product’s benefit is less manual data entry, faster contract execution, fewer errors, and more time for brokers and agents to spend with clients. RealPact describes this as the starting point for a broader AI operating system for brokerages, with the initial wedge being contract automation and transaction operations.

Market

RealPact competes in real-estate transaction-management software and the broader PropTech and brokerage-enterprise-software market. Its positioning is an AI-native alternative to older systems such as Dotloop, which RealPact describes as handling a large share of U.S. transactions but offering limited automation. The relevant incumbent comparison set also includes platforms such as SkySlope, Brokermint, and Lone Wolf, although RealPact’s differentiation is the use of agents to retrieve data and perform operational work rather than simply digitizing existing workflows.

The company is early but appears to have moved beyond a purely pre-revenue concept. Y Combinator lists it as an active Summer 2026 company that sells to brokerages in New Hampshire, while RealPact says its system is already used daily at Next Homes, Black House Real Estate, and Sotheby’s. It has announced a pre-seed round backed by Y Combinator, Leap Year, Dartmouth Venture Studio, and real-estate angels; its vision page also reports a pilot conversion and approximately $72,000 of annual-contract intent across three brokerages. Realized revenue and broader customer counts have not been publicly disclosed, so the strongest characterization is early commercial traction rather than proven scale.