Companies’ Combined Capabilities Will Speed Digital Business Model Transformation for Customers
Stradigi AI, a leading North American Artificial Intelligence software company, announced it has been selected by Roland Berger, a European-based consulting firm, to join Terra Numerata, its exclusive global network of partners. Stradigi AI’s SaaS machine learning platform, Kepler, is designed for non-technical business users and is complementary to the firm’s advisory services. Together, they will meet a growing need within Roland Berger’s clientbase for business-driving AI solutions. Joining the Terra Numerata network also provides expansion opportunities for Stradigi AI. With over 50 years of experience in implementing complex projects in a broad range of verticals including automotive, manufacturing and financial services, Stradigi AI’s clients will benefit from Roland Berger’s seasoned experts and measurable global successes.
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“Partnering with Roland Berger allows a broader set of customers to benefit from advanced machine learning to gain efficiencies and drive competitiveness,” said Per Nyberg, Chief Commercial Officer at Stradigi AI. “Our AI SaaS offering, Kepler, solves business use cases in industries where Roland Berger has extensive experience and demonstrated value. Together, our organizations will be able to strategically support global clients through combined capabilities. We share the same approach to delivering business-focused solutions in an agile manner to meet the evolving needs of our clients.”
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“Adding Stradigi AI to our Terra Numerata global partner network will be an exciting collaboration,” said Axelle Lemaire, Terra Numerata Global Head at Roland Berger. “Terra Numerata helps companies with their transformation to new digital business models. Stradigi AI’s Kepler platform fills a gap in our ecosystem to address the needs of companies who can benefit from machine learning, but often lack the necessary resources to get started. This collaboration will empower our clientbase to become more AI-enabled.”
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