Unibloom welcomes three industry leaders as new operational advisors to power next-stage data, AI & partner development

Published on
June 11, 2025

Stockholm | LondonUnibloom, the first data and simulation platform built to de-risk innovation & procurement decisions, proudly announces the addition of three new advisory board members, Henri de Sauvage Nolting, Arletka SkurczynskaMichael Daun (Michael & Henri angel investors in Unibloom). These leaders bring decades of experience scaling companies across the food, consumer goods, tech, and AI sectors. Their support marks a pivotal step as Unibloom accelerates its mission to make innovation & procurement decisions more cost-effective, climate-smart, and resilient against future risk.

“Thrilled to start as an advisor for Unibloom,” says Henri de Sauvage Nolting, former CEO of Arla and Cloetta. “We’re entering a new era—moving from sustainability driven by willingness to contribute, to decisions grounded in real, fact-based insight. That’s where Unibloom’s AI-powered platform comes in—helping companies act on sustainability, costs, and business impact.”

Also joining the board is Arletka Skurczynska, former CEO of Unilever Sweden. With over 25 years of experience leading digital and commercial transformation across the food and consumer goods industries, she has driven major shifts in agile ways of working and sustainable initiatives throughout Sweden.

“Unibloom’s tools are truly at the forefront—exactly what’s needed to drive concrete strategic decisions backed by bold actions,” says Arletka. “The ability to build real-time scenarios that integrate both cost and climate impact is absolutely invaluable.”

Also joining as an advisor and one of the early investors is Michael Daun, a seasoned Swedish entrepreneur with over 30 years of experience across internet/IT/AI, strategy, and leadership. A serial entrepreneur, Michael is passionate about guiding companies through periods of growth and transformation—helping leadership teams challenge conventional thinking and embrace bold, disruptive change.

"I'm excited to oin Unibloom's advisory board at this critical inflection point in time. As companies struggle with slow, siloed data processes, Unibloom is delivering one-click integration which compress what used to ake months into mere moments. Even more compelling is their launch of the first science-backed AI scenario optimisation- finally making cost and emissions data not only accessible, but operational actionable. It's exactly what's needed to drive smarter, cost-effective & faster decisions across entire organisations, says Michael."

Addressing a £1.5 trillion challenge

Today, 97 % of procurement decisions rely on climate guesses. This could cost food and agriculture companies up to 50 % in lost profits by 2030—equivalent to £1.5 trillion. Most climate data sits in spreadsheets, complex databases or with experts - based on averages, built for yearly reports and expensive consultants—not daily operational decisions.

Unibloom flips the script by delivering:

  • 60 % more accurate, precise data (ie from average soy emission factor for EU to precise country specific soybean meal (processed) data sets)
  • 80 % faster comparisons & unlimited scenarios for optimal initiatives & solutions across cost, climate, and efficiency (i e nutrition)
  • Holistic simulations, integrated financials (CAPEX & OPEX), seamless across sustainability, procurement & supplier teams
  • Proprietary data to fill today’s most critical data gaps

“With Unibloom, we finally influence suppliers in minutes—not years,” says Klaas-Jan van Calker, Procurement at Unilever and design partner to Unibloom.

From climate intent to climate action—Unibloom helps sourcing teams model, compare, and decide smarter.

For more information, visit www.unibloom.world or contact:

Anna Sandgren, CEO & Founder

anna.sandgren@unibloom.world

Book an intro: calendly.com/anna-sandgren

+ 46 702 13 52 54

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Book a demo with us to speed up climate action planning and integrated SBTi initiatives in innovation & procurement, cost-effectively & with speed.

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