EliseAI and DOOR integrate to automate renter access at scale

EliseAI's AI leasing platform links with DOOR's smart-access OS to remove human gatekeepers from tours and maintenance visits.

EliseAI and DOOR integrate to automate renter access at scale

EliseAI, the New York-based AI workflow platform that the company says now powers one in six US apartment units, has partnered with DOOR (formerly Latch) to connect keyless smart-access technology directly into AI-orchestrated property operations. The integration links DOOR's OpenDOOR platform to two EliseAI products: its AI-Guided Tours product and its Maintenance App, enabling timed, permission-gated door unlocking without a staff member or physical key on site.

The announcement is a narrow product story on the surface. But it reflects something more structurally significant: the gradual disaggregation of the traditional property management team into a mesh of software-defined workflows, IoT hardware and AI agents. Where a leasing office once co-ordinated access manually, an orchestration layer now handles scheduling logic, security gating and audit trails autonomously.

Keyless handshakes: what the integration actually does

For prospective renters, the practical effect is self-serve touring at any hour. A prospect navigating EliseAI's AI-Guided Tours product can now unlock unit doors themselves via a timed code provisioned through DOOR OS, with access contingent on vacancy status. For existing residents, the Maintenance App can grant a dispatched technician entry to a unit directly, gated by the resident's permissions and tied to the active work order, so residents are not required to be present. No additional hardware is needed in buildings already running DOOR's platform.

Minna Song, co-founder and CEO of EliseAI, framed the integration as an operational context problem solved by AI rather than a scheduling tool. "Our AI understands the operational context, and working together with DOOR, it lets a prospect tour a unit on a Sunday afternoon without anyone meeting them there, and a resident get a leaky faucet fixed without taking the day off to let someone in," she said.

Ryan Salmons, Chief Product and Technology Officer at DOOR, positioned the OpenDOOR API as a deliberate platform play rather than a feature build: "No single company is going to build every workflow a property needs, and we shouldn't try. OpenDOOR gives partners like EliseAI a direct, documented way to build on top of DOOR instead of around it."

The platform race in proptech

The broader context is a consolidation race among property technology stacks. DOOR's pivot to an open platform model, accepting third-party integrations via a documented API and SDK, mirrors the strategy that has defined winners in adjacent verticals: Salesforce in CRM, Stripe in payments, Twilio in communications. The bet is that operators will cluster around a small number of deeply integrated infrastructure layers rather than assemble bespoke point solutions.

EliseAI's position is notable here. The company reports $200m in annual recurring revenue in 2026, citing five consecutive years of 100% year-on-year growth, and is extending its automation footprint beyond multifamily housing into healthcare scheduling and front-desk workflows. That cross-sector drift is worth watching: the same AI agent architecture that routes a maintenance technician into an apartment could, with different integrations, manage access in a clinic or a co-working space, pointing to a longer-term infrastructure play that extends well beyond residential property.

For capital allocators tracking real estate technology, the story reinforces a directional shift: proptech investment is migrating away from consumer-facing apps and towards operational infrastructure that reduces headcount dependency and improves asset-level margins. As labour costs in property management remain elevated across major US metros, the case for AI-plus-IoT automation compounds. The question is whether open-platform ecosystems like OpenDOOR can reach the network density needed to make switching costs prohibitive before a larger cloud or facility-management incumbent enters the same layer.