AR and computer vision platform for retail and real estate product visualization
Leap Tools builds augmented reality and computer vision solutions for retail and real estate, with a product portfolio spanning visual showcasing, sales automation, and operations management. The hiring profile is heavily sales and support-driven (26 of 50 open roles), paired with a modest engineering footprint, indicating a mature product-market fit phase focused on customer acquisition and retention rather than platform overhaul. Pain points around adoption, pipeline generation, and manual prospecting suggest the company is scaling go-to-market while tightening operational efficiency.
Leap Tools is a Toronto-based technology company founded in 2009, serving over 180 countries with solutions that enable retailers and real estate professionals to visualize and manage products at scale. The platform underpins augmented reality experiences and computer vision capabilities, allowing businesses to showcase inventory digitally and streamline sales workflows. The company operates multiple product lines (Roomvo for spatial visualization, QFloors for flooring, core platform for general retail) and reports over 1 billion products viewed across its customer base. Engineering is built on Python, React, TypeScript, and PostgreSQL, with analytics infrastructure on Redshift and dbt, while go-to-market relies on Salesforce, Google Ads, and Meta Ads for pipeline generation and media buying.
Leap Tools uses Python, React, TypeScript, and Next.js for product development; PostgreSQL and Redshift for data; dbt for analytics; Salesforce for CRM; and Google Ads, Meta Ads, and Looker Studio for marketing and reporting.
Leap Tools is headquartered in Toronto, Ontario, Canada, with a 201–500 person workforce and hiring expansion across North America and Europe.
Leap Tools'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.