Real Estate AI apps

Agentic AI assistant for property management and leasing.

EliseAI is an agentic AI platform that automates tenant and prospect communication for property management and multifamily housing. It answers inquiries, schedules tours, processes maintenance requests, and manages follow-ups across voice, SMS, email, and chat so operators can respond instantly around the clock. The same conversational platform has since been extended into healthcare for patient scheduling and non-clinical communication.

AI analyst for commercial real estate underwriting and diligence.

Cadastral is an AI-native, vertically specific platform for commercial real estate, billed as an 'AI analyst out of the box' that works without customer-specific training. It automates complex CRE workflows including T-12 analysis, lease abstraction, loan compliance, acquisitions due diligence, and end-to-end underwriting for real estate, private equity, and private credit teams.

Expressive property data APIs for building proptech.

RealEstateAPI (REAPI) is a developer-focused property data platform offering APIs for property search, detail, comparables, parcel boundaries, address autocomplete, and skip tracing across roughly 95% of U.S. properties. It targets proptech startups and data-heavy products that want flexible, modern access to nationwide real estate data, and provides lender-grade automated valuations with confidence scoring for pre-qualification, underwriting, and portfolio monitoring.

Nationwide property data API powered by AI-collected public records.

Realie is a property data platform that serves nationwide parcel, ownership, mortgage, and zoning data through a fast API. AI agents continuously collect records from public sources across 3,100+ U.S. counties in all 50 states, normalize the differing county layouts, and verify them so the data stays current. It handles search, lookups, and enrichment at sub-10ms latency, offers an automated valuation model and comparables, and supports full-state or nationwide bulk delivery via Amazon S3.