Commercial real estate valuation and analytics software for institutional investors
Altus Group operates ARGUS, a market-standard valuation platform for commercial real estate professionals. The stack reveals a hybrid architecture: AWS cloud infrastructure paired with legacy enterprise tools (Yardi, JD Edwards, AutoCAD, Revit) and modern QA/API testing frameworks (Playwright, Selenium, Postman), indicating ongoing modernization of institutional finance workflows. Active hiring across construction, engineering, and data roles—with notable velocity in construction roles—suggests expansion in property risk advisory and analytics capabilities alongside core valuation products.
Notable leadership hires: Technology Lead
Altus Group is a public company (TSX: AIF) based in Toronto providing intelligence and software tools to commercial real estate investors, developers, and lenders. The core product, ARGUS, serves institutional investors for property valuation, performance analytics, and investment analysis. The company operates across North America, Europe, Asia-Pacific, and the Middle East, with active hiring in nine countries. Project focus spans traditional CRE concerns (site valuations, cash flow projections, quarterly fund revaluations) alongside advisory services in construction risk and public-private partnerships.
ARGUS is the industry standard for commercial real estate valuation and performance analytics. It enables CRE professionals to model cash flows, valuate properties, analyze investments, and manage risk across institutional portfolios.
Altus Group runs on AWS, with core services including Lambda, ECS, RDS, SQS, API Gateway, and CloudWatch. They are actively managing cost efficiency across the AWS platform.
Altus Group is hiring engineers across nine countries: Canada, United States, United Kingdom, Australia, New Zealand, India, France, Morocco, and Singapore. Construction and engineering roles represent the largest hiring velocity.
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Altus Group'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.