Daisy Intelligence Corporation

About Daisy Intelligence Corporation

Daisy Intelligence Corporation provides artificial intelligence-powered solutions, operating on a Decisions-as-a-Service (DaaS) model for the retail and insurance sectors. The company was founded by Gary Saarenvirta, who serves as CEO and Chief Scientist, and officially launched in 2016, though the vision for the company began as early as 2003. Saarenvirta's background in aerospace engineering and his extensive experience leading data analytics and data warehousing practices at IBM Canada heavily influenced Daisy's focus on using math and science for smarter business operations. The company’s name was inspired by "Daisy Bell," the first song sung by a computer in 1961, famously featured in "2001: A Space Odyssey."

The firm’s business model is centered on its proprietary AI platform, which requires no complex integration, coding, or in-house data scientists from its clients. Daisy's revenue is generated by providing actionable, data-driven recommendations that deliver verifiable financial results, promising clients a significant return on investment. The company serves a global client base that includes retailers and insurance providers in the U.S., Canada, Latin America, and Europe. A key milestone was securing C$10 million in Series A funding in September 2019, which has fueled its global expansion, sales, and marketing efforts. The company has also won several awards, including a $5 million pitch prize at the 2018 Elevate conference.

For its retail clients, particularly grocers, Daisy’s AI platform analyzes vast amounts of transactional data to optimize merchandising decisions. It provides recommendations on promotional item selection, dynamic pricing, demand forecasting, and inventory allocation by analyzing the "Halo Effect"—the complex relationships between products. This helps retailers increase overall store sales and profit margins, with reported average same-store sales increases of 2.9 percent. The service simulates millions of decisions to identify opportunities that would be invisible to human analysis, such as which products will drive the largest basket size without cannibalizing sales.

In the insurance sector, Daisy offers an AI-powered risk management platform designed to detect, avoid, and manage fraudulent claims. The system analyzes claims data to identify suspicious patterns and anomalies that indicate fraud, reducing false-positive rates and automating the processing of high-volume, low-value claims. By integrating fuzzy logic and its proprietary Theory of Risk™, the platform helps investigators prioritize complex cases and has enabled clients to identify and recover millions in fraudulent payments.