Stradigi AI included on acclaimed Constellation ShortList for 2nd consecutive year

Research group identifies innovation and best-of-breed platforms in artificial intelligence and machine learning

Wednesday August 18, 2021 – For the second consecutive year Stradigi AI, a leading Canadian artificial intelligence (AI) innovation company, and creators of the Kepler platform, has been included in the coveted Constellation ShortList™ for Artificial Intelligence and Machine Learning Best-of-Breed Platforms in Q3. The designation is an industry benchmark for technology solutions that enable digital transformation for early adopters.

Solutions on the Constellation ShortList are selected by Constellation analysts through a detailed research process. Constellation considers and evaluates more than 50 solutions categorized in this market in their criteria for selection. This Constellation ShortList is determined by client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research. The company further selects its ShortList with the end goal of AI platforms providing infrastructure to support decision making.

“Being included on the Constellation ShortList for the second year in a row is a testament to the talent on our team as well as the evolution of our Kepler platform,” said Basil Bouraropoulos, CEO & Co-Founder of Stradigi AI. “As we continue to focus on our goal to democratize AI with an accessible AI platform, we are helping businesses extract greater value from their data investment. Being recognized on this list yet again shows we’re making significant strides in helping business consumers adopt AI for actionable insights.”

As the artificial intelligence and machine learning field continues to grow and become synonymous with business intelligence, Stradigi AI’s work across industries helps companies adapt data-first mentality to capitalize on the evolving market landscape. The no-code, enterprise AI platform Kepler quickly processes vast amounts of data to drive tangible predictions and insights that you can trust, enabling companies to recognize and respond to trends in a meaningful way.

“We are honored to be included among such a talented and innovative list of companies that share a common goal of enabling digital transformation for businesses, helping them adopt a data-first mentality for all their business needs,” says Carolina Bessega, Chief Science Officer at Stradigi AI. “At Stradigi AI we build solutions that help business leaders unlock their data to accelerate insights, driving value with purpose.”

Enterprise AI software like Kepler seeks to democratize the use of AI for businesses that don’t possess data science expertise, previous AI knowledge, or vast budgets to build such teams. AI software has been designed with years of data science expertise, but with the Kepler platform it is now available to companies without the need for coding or previous AI knowledge. All you need is a data set and directional insights that you want to capture. It’s an affordable entry point that gives quick results, sometimes in as little as a few months.

Navigate our website to learn more about the Kepler AI platform, or contact the Stradigi AI team to start your AI journey today.

About The Constellation ShortList

Artificial intelligence (AI) platforms enable organizations and individuals to build intelligent applications based on data. AI platforms must provide the facilities to ingest complex data, address rapidly generated or constantly evolving data, rectify and amplify hard-to-find signals, craft models where human-powered analytics are slow, enable resolution for highly iterative models, decrease the time to generate models and improve accuracy rates. Seven key components for AI success include the ability to handle large amounts of complex data, deliver massive compute power, compress time, provide math talent, embody domain expertise, leverage human user experience and support contextual decisions. Best-of-breed platforms do not rely on one cloud vendor to handle the complex data, massive compute power and time compression. Instead, they reserve the option to apply a multi cloud strategy.

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