The Daisy Story.
Daisy is an AI-powered platform for retail and insurance.
Daisy uses reinforcement learning, a branch of AI, and its patent-pending Theory of Retail™ and Theory of Risk™ to be truly unique in the marketplace and on the cutting edge of the category management and risk management revolution.
Daisy’s technology, developed by a highly-skilled team of 50+ computational scientists, mathematicians and business domain experts analyzes 100% of an organization’s transactions, executing billions of simulations daily to deliver optimized merchandise planning and risk management decisions for its clients.
Linear regression, the forefather of deep learning and AI, was invented more than 200 years ago. So, why isn’t AI delivering better business results?
Our AI-powered platform is different. It uses reinforcement learning to deliver exceptional financial results: higher profits and sales and outstanding ROI.
AI is intelligent autonomous systems, not algorithms. Autonomy is stable, trustworthy and demonstratable business performances from your most important processes that deliver an invisible but powerful competitive edge.
Daisy delivers decisions that drive higher profits every year. We analyze 100% of your business transactions to deliver business recommendations while automating processes beyond human capability.
Simply put, Daisy sees what others can’t.
Better Financial Results
Our retail clients have historically seen top-line sales increase by
Reduce Fraudulent Payments
Banks and insurance companies can avoid tens of millions of dollars in fraudulent payments and assess risk more accurately with technology that makes investigations more efficient and successful.
Reinforcement Learning
Based on years of R&D and work with top brands, our technology is unique; it continuously learns and adjusts its decision-making policies without human intervention. We call it “autonomous machine intelligence”: computers do the time-consuming heavy lifting.
We Handle The Hard Work
Daisy handles repetitive, relentless and complex work, allowing your employees to use their experience and expertise to do what they do best…make strategic and creative decisions to serve your customers. They do what machines can’t!
Meet the Team
In today’s data-driven world, it is beyond human capacity to measure and optimize decision-making. Yet, the road to the humanly impossible is still driven by people – people like the team at Daisy. While we love our math and science, we pride ourselves on being fun and easy people to work with. We love our clients. For our team, no business challenge is too big when there’s a mountain of data to scale.
GARY SAARENVIRTA, M.A.Sc
Founder & CEO
Gary Saarenvirta is Daisy’s Founder & CEO, and a preeminent authority on artificial intelligence and its ability to transform how businesses grow. He is also a member of Daisy’s board of directors.
KEVIN ANTRAM
Senior VP, Revenue
Kevin Antram is Daisy’s Senior VP, Revenue, responsible for total company revenue, new sales, channel sales, and customer renewals.
PAT FINERTY
Chief Development Officer
Pat is responsible for scaling Daisy’s growth internationally, driving the partner ecosystem, and accelerating the company’s presence in emerging industry verticals.
SINA MERAJI
Director, Machine Learning & Software Development in Parallel Computing
Sina leads the R&D team focusing on four main areas: Big Data and Analytics, Artificial Intelligence/Machine learning, Parallel processing, and UI/Web development.
NATASHA COTZ
Director, Talent & Culture
Natasha is responsible for all recruiting and new hire activities, human resources, performance management and employee training.
JOHAN LANDMARK
VP, Customer Success
Johan is responsible for customer community, marketing, brand, PR/ industry analyst relations, and supports pre-sales and client onboarding.
Board of Directors
JOHN MADIGAN
President, JSM Capital Inc.
John has 30 years experience as a senior leader, innovator and investor in early stage tech companies. After a corporate career with Northern Telecom/Nortel Networks, John co-founded several tech startups, including the Teligence Group.
GARY SAARENVIRTA, M.A.Sc
Founder & CEO
Gary is Daisy’s Founder & CEO, leading the company as it builds an AI-powered platform that helps retailers and insurance companies around the world drive dramatically improved financial results.
What’s in a name?
A lot of thinking.
In 2003, Gary Saarenvirta, launched makeplain Corp., best described as “a data analytics company.” Fast-forward to 2016, when makeplain rebranded as Daisy Intelligence. This was an acknowledgment that even after more than a decade of success, we had evolved alongside a rapidly changing data analytics landscape and we are now reaching new audiences.
Our inspiration for Daisy Intelligence came from several sources:
- We love using complex math to solve real-world problems, so, naturally, we’re big fans of Fibonacci, who introduced what is widely considered to be math’s perfected sequence: the Fibonacci Sequence. This sequence can be found throughout nature such as in the number of petals and the number of spirals in the florets of a daisy flower.
- In 1961, the IBM 7094 was programmed to sing “Daisy Bell”, the first song sung by a computer. “Daisy” was sung by HAL in the film 2001: A Space Odyssey. We especially like the first line of the song: “Daisy, Daisy give me your answer true” because it reflects what Daisy Intelligence strives to deliver to its clients: the facts.
- The name Daisy contains “AI” which represents our company’s artificial intelligence foundation.
It’s safe to say, there’s a lot of thinking behind our name.
COMPANY HIGHLIGHTS
- Recognized as a “Cool Vendor in A.I. for Retail” by Gartner Inc.
- Named “Best Startup” at The AIconics awards.
- Won $5-million funding prize at ElevateR Pitch: A.I. Edition.
- Named to Toronto 50 list of GTA startups to watch.
LEARN MORE ABOUT A.I. TODAY –
WHAT IT IS, WHAT ISN’T, AND WHY NOW.
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