AI-powered asset management platform for commercial real estate portfolios
Pereview builds asset management software for commercial real estate investors and operators managing debt and equity across multiple properties. The tech stack is enterprise-oriented (SAP, SQL Server, Power BI, Yardi, RealPage) paired with Python and SQL for custom data work—reflecting a hybrid model where the platform integrates legacy real estate systems while building custom analytics layers. Hiring velocity is accelerating with engineering and data roles, and the project list reveals the core friction: client onboarding, data migration, ETL, and data validation dominate active work, signaling that generalized platform capability exists but customer-specific configuration and data plumbing remain manual and labor-intensive.
Notable leadership hires: Implementation Lead
Pereview is a commercial real estate asset management platform founded in 2015 and based in Dallas. The platform serves institutional and private property owners, operators, and investors who need to track financial performance and operational risk across debt and equity portfolios. Core functionality centers on 360-degree asset and portfolio visibility, with dashboards, reporting, and financial modeling integrated into a single system. The business model relies on high-touch implementation—customers bring heterogeneous data sources (Excel, Yardi, RealPage, SAP, custom accounting systems) that must be mapped, validated, and loaded into Pereview's data model before the platform delivers value. The product operates across multiple investment structures and asset types within a single tenant experience.
Pereview's stack includes SQL Server, Python, SAP, Yardi, RealPage, Power BI for reporting, and Zendesk for support. Data pipelines rely on SQL Server Integration Services, Power Query, and custom SQL/Python ETL.
Pereview is headquartered in Dallas, Texas and was founded in 2015. All current hiring is focused in the United States.
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