Past EditionsSince 2017, Jump Start has powered 8 Editions, developing visionary solutions that have shaped the future of energy and mobility.

Over the years, the program has become a launchpad for innovation by enabling diverse maturity companies to pilot their solutions in real business environments, gain expert support, and accelerate their growth. Dive into the highlights and success stories from past editions, and see how far Jump Starters have come! 

2020 2021
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2020

2020

The 2020 edition of PRIO Jump Start was built around three key challenges:

New Mobility Solutions Focused on advancing cleaner and smarter transport, including electric mobility, alternative fuels, smart charging, and innovative mobility services
Digital Transformation Aimed to modernize operations and customer experiences through technologies such as AI, data analytics, automation, and IoT, driving efficiency and better decision-making
Energy Transition Targeted the development of low-carbon energy solutions, renewable integration, energy storage, and circular models to support a more sustainable and resilient energy system
Ecobean EcoBean transforms coffee waste into sustainable chemicals. The company provides an industrial solution to valorize spent coffee grounds, converting them into high-quality ingredients for fast-growing markets. Its plug-and-play technology integrates seamlessly into instant coffee production, enabling companies to monetize waste by creating higher-value upcycled ingredients for the beauty, food, and materials industries — at scale. 
The pilot

The pilot introduced circular economy principles into the HoReCa sector by implementing a structured system for collecting and valorizing spent coffee grounds generated at participating locations. Coffee waste was separated at source, collected, and redirected to be processed into sustainable, value-added ingredients for use in industrial applications such as beauty, food, and materials manufacturing. The pilot aimed to validate the operational feasibility of the collection and logistics model, quantify the reduction in carbon footprint compared to traditional waste disposal, and assess the economic potential of transforming coffee waste into a secondary raw material. The results demonstrated how waste streams from hospitality operations could be converted into scalable, revenue-generating resources while contributing to environmental sustainability goals. 

Ecobean 1
Ecobean 2
Ecobean 3
Automaise Automaise offers a suite of artificial intelligence–based products that radically enhance customer service and decision-making processes. It delivers stress-free interactions for customers and confident, data-driven decisions for businesses. 
The pilot

The pilot involved leveraging stored historical data to design and train a set of artificial intelligence models within Automaise’s AI Factory. The objective was threefold: first, to improve the accuracy of competitor price forecasting; second, to optimize PRIO’s pricing strategy based on predictive insights; and third, to define the data requirements needed for a medium-term rollout, including the incorporation of seasonal patterns and high-traffic, one-off events. This initiative aimed to enhance pricing intelligence, support data-driven decision-making, and strengthen PRIO’s competitive positioning. 

Storee.ai STOREE.AI is a cloud-native B2B SaaS platform that outperforms traditional team management tools. It is an all-in-one, data-driven, AI-powered store management solution that enables teams to operate at their highest level while staying fully aligned with a brand’s values, ambitions, and unique DNA. 
The pilot

The pilot involved implementing a data-driven, automated task management tool to strengthen communication between headquarters and store teams and streamline daily operations. The solution centralized task assignment, tracking, and reporting, ensuring that priorities defined at headquarters were clearly communicated and consistently executed at store level. During the pilot, store managers used the platform to receive structured guidance, monitor performance indicators, and manage operational routines more efficiently. The objective was to reduce time spent on administrative coordination, increase alignment across locations, improve execution standards, and ultimately drive measurable gains in store performance and managerial effectiveness.

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