Daily market data platform for multifamily real estate operations
ApartmentIQ aggregates daily pricing and concession data across 40M+ units sourced from 1.1M property websites, serving 70% of the NMHC Top 50. The stack reveals a sales-and-data-driven organization: Salesforce + HubSpot + Salesloft form the go-to-market core, while Domo + Python + dbt-adjacent tooling (n8n, Retool) handle data pipelines. Active hiring skews toward sales (11 roles) and product (4), with product pain points centered on scaling ingestion pipelines and data freshness — classic signals of a platform maturing from manual/static workflows into real-time automation.
ApartmentIQ is a market intelligence platform purpose-built for multifamily operators, owners, and investors. The product ingests daily data directly from property websites and aggregates verified market conditions—rents, concessions, occupancy trends—into tools for pricing decisions, asset valuation, and competitive benchmarking. The company tracks over 40 million units with 95% concession coverage, positioning itself as a source of truth for market research and revenue management workflows. Based in Madison, Wisconsin, with 51–200 employees, the organization is actively scaling sales and product capacity while addressing internal challenges around data pipeline scaling and sales productivity.
ApartmentIQ is trusted by 70% of the NMHC Top 50, the largest multifamily operators in the U.S. The platform serves owners, operators, and investors in the multifamily residential sector.
ApartmentIQ tracks over 40 million units with 95% concession coverage, sourcing data directly from 1.1 million property websites updated daily.
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ApartmentIQ's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.