Pricefx, the global leader in native cloud pricing software, announced it has acquired Brennus Analytics, an AI pricing software start-up based in France. Brennus uses a modular, proprietary AI technology to provide unique optimization capabilities highly applicable to the challenges of complex B2B environments. The transaction will bring state-of-art technology and a team of exceptionally talented AI and data science professionals to accelerate Pricefx’s AI capabilities in its price optimization software.
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“In today’s fast-moving business climate, being able to use pricing as a lever to achieve revenue and profit goals is more important than ever”
“In today’s fast-moving business climate, being able to use pricing as a lever to achieve revenue and profit goals is more important than ever,” said Marcin Cichon, CEO and co-founder at Pricefx. “The AI technology and deep bench of talent we are bringing in from Brennus will enable us to deliver strategic product enhancements that will allow Pricefx to set a new standard for price optimization. With Brennus, Pricefx is building on the impressive momentum we have already created in serving our customers with fast, flexible and friendly solutions for the past 9 years. Our goals and vision remain unchanged: using our Passion for Pricing to deliver the best pricing platform on the planet.”
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Combining Brennus’ innovations in AI for pricing with Pricefx’s ability to productize and commercialize at scale brings to market a solution greater than the sum of its parts, enabling the company to better meet customers’ needs in a rapidly changing business climate. Additionally, Brennus’ location will enable Pricefx to expand its presence in France and better support existing customers in the region.
Brennus’ pricing optimization software is based on AI technology called “Adaptive Multi Agent Systems” (AMAS). AMAS technology is predictive, prescriptive, transparent, fast and flexible. Devised in the 1990s by the Toulouse Research Institute in Computer Science (IRIT), AMAS is based on self-organizing autonomous agent networks, comparable to a living organism. The self-adapting system is particularly well-suited for large scale optimization and continuous learning.
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