Belgium’s Move To Happiness secures €1 million to scale AI platform linking wellbeing and organisational performance

Antwerp-based HRTech firm Move To Happiness has actually finished a EUR1 million financing round to speed up the advancement of its Human Efficiency system– an AI-driven framework that assists organisations structurally connect human performance, such as emphasis, power, healing and psychological intensity, to efficiency and organization outcomes.

Today’s financial investment will certainly be utilized to more fine-tune the AI framework, enhance early discovery of efficiency dangers, and range the version throughout organisations.

“ Well-being is still frequently come close to as treatment or payment,” states Kenneth Van Daele, chief executive officer and founder of Relocate to Joy. “ However at its core, this has to do with just how individuals operate in facility, high-pressure atmospheres. Their power, emphasis, healing and decision-making ability currently straight establish the efficiency of groups and organisations“

In a wider European HRTech financing context, Relocate to Joy’ rounded rests along with a collection of bigger 2025– 2026 financial investments concentrated on AI-enabled individuals and efficiency administration systems.

In January 2025, London-based Zelt elevated EUR5.7 million to increase its all-in-one human funding administration system and range globally. This was adhered to in Might 2025 by Milan-based Skillvue, which safeguarded EUR5.5 million to more establish its AI-driven abilities knowledge system sustaining skills-based hiring and labor force advancement.

In Spain, Madrid-based Orbio reported greater than EUR6.4 million in moneying to speed up the rollout of its AI-native human resources system, while Valencia-based Sesame protected accessibility to as much as EUR50 million in an equity-free development tool to sustain worldwide development of its skill administration software application.

Taken with each other, these news indicate greater than EUR67 million relocating right into nearby HRTech sectors over the previous 2 years.

Within this landscape, Relocate to Joy’ raising is smaller sized in outright terms however straightens with a larger change in the direction of data-driven methods that connect worker performance, wellness and efficiency to organisational results.

Established In 2021, Relocate to Joy wants to convert wellness right into quantifiable human efficiency. Via an AI-driven system, the firm sustains staff members with personal support at range, while allowing organisations to comprehend the effect of power, emphasis and healing on efficiency and retention.

According to numbers given to EU-Startups, typical wellbeing efforts commonly accomplish 20 to 40% involvement, while Relocate to Joy sees 65 to 90% energetic engagement amongst its customers.

The system is presently utilized by organisations such as Accenture and VGD.

The firm information that while organisations are spending even more than ever before in wellness; burn-outs, psychological tiredness and efficiency loss remain to climb.

According to Kenneth, the concern is not an absence of excellent objectives, however an absence of framework. Several wellbeing efforts stay separated from day-to-day job fact, insufficiently make up private distinctions, and seldom make the web link to efficiency specific. The outcome is high task, however minimal utilize.

Relocate To Joy’ system integrates unbiased information, such as rest, tension, HRV and power degrees from wearables, with individuality and behavioral accounts and evidence-based behavioral scientific research designs.

These understandings are equated right into personal support via been experts AI trains concentrated on rest, psychological tons, power administration and behavioral selections.

The firm states that what collections them apart is that private training is linked to anonymised organisational understandings. Business acquire exposure right into patterns that affect efficiency: where power is structurally shed, where healing is under stress, which functions are overmuch stressed, and which signals typically come before drop-out or exhaustion.

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