My Mental Wellbeing (MMW)

My Mental Wellbeing (MMW) is the “Duolingo for workplace mental fitness.” We help companies boost engagement and productivity by turning wellbeing into a measurable, daily habit. Powered by a proprietary Boosting-Tree machine-learning model trained on 10,000 behavioral data points, MMW enables organizations to Predict, Personalize, and Prevent stress and burnout at both individual and team levels. Employees engage through gamified microlearning and wellbeing challenges, while HR and leaders gain predictive, anonymized dashboards to act early—creating healthier, higher-performing workplaces.

MMW is live with paying customers including Maersk, Danfoss, TechBBQ, and Copenhagen Capacity, with 700+ active users and $9K MRR. Our platform delivers a 27% reduction in stress, 63% adoption, and 40% DAU/MAU engagement—exceeding HR-tech benchmarks. We’re finalizing a partnership with Aleris to unlock 5,000 employees and are in talks with HR system providers for integrations across Europe and the UK.

We serve HR leaders and employees in SMEs and mid-sized firms (50–500 staff) in Denmark and Northern Europe, expanding to the U.S. Our focus is Gen Z and Millennials, now 75 % of the workforce and most affected by burnout. The global wellbeing market is worth €444 B and growing 8–10 % annually, fueled by regulation and mental-health awareness.

My Mental Wellbeing (MMW) is the “Duolingo for workplace mental fitness.” We solve the two-coin problem of workplace wellbeing: employees face stress, burnout, and disengagement, while HR leaders lack predictive wellbeing data to act early. Powered by our proprietary Boosting Tree machine-learning model, we apply the 3 Ps — Predict, Personalize, Prevent — to forecast burnout risk, deliver personalized tools, and prevent costly stress outcomes. Our platform achieves 27 % stress reduction, 63 % user adoption, and 40 % DAU/MAU engagement, outperforming HR-tech benchmarks. We’re scaling through HR-system and health-insurance integrations across Europe

My Mental Wellbeing (MMW) is an AI-powered mental fitness platform that helps companies reduce stress, burnout, and disengagement while boosting productivity and retention. We solve a key problem for organizations: employees struggle to maintain mental wellbeing, and HR lacks predictive data to act early.

Our platform applies the 3 Ps — Predict, Personalize, Prevent — using a proprietary Boosting-Tree machine-learning model trained on 10,000 proprietary behavioral data points. Employees engage through gamified wellbeing activities and microlearning that make mental fitness a daily habit, while HR and team leaders access anonymized predictive dashboards to identify burnout risks and intervene proactively.

This dual benefit—individual wellbeing and organizational insight—turns mental health from a reactive cost into a measurable business advantage.

Most wellbeing tools measure, few predict. Competitors like Howdy and Pleaz rely on surveys; MMW’s proprietary ML model predicts burnout before users notice it and guides early interventions. Backed by behavioral science and gamification, our 63% adoption and 40% DAU/MAU prove higher stickiness than any existing alternative.

MMW’s defensible edge lies in our proprietary 10k+ dataset collected through four years of NGO-led research, our Boosting Tree ML engine that predicts burnout at both individual and team levels, and our responsible gamification approach rooted in behavioral psychology. Together, they form a data, AI, and engagement moat that strengthens with every user interaction.

Our SaaS model (€8–€12 per employee/month) scales from €8K MRR today to €79M annual revenue by 2030. Growth is driven by SME adoption (fast cycles), enterprise upsell (land & expand), and integrations with HR systems and insurers. By Year 5, new EU workplace wellbeing legislation accelerates adoption, creating a predictable, profitable recurring-revenue engine.

MMW’s subscription model (€8–€12/employee/month) scales via a flywheel: community-led SME sales, enterprise “land & expand,” and channel growth through HR systems and insurers. 7/9 customers originated from our 3,000+ ambassadors. With 27% stress reduction, 37% productivity gain, 63% adoption, and 40% DAU/MAU, we’re building a profitable, recurring-revenue engine

Funds will be allocated to Sales & GTM (45%), Tech Development (35%), and Operations (20%). Our scalability depends on accelerating distribution through HR-system and health-insurance channels. The investment will strengthen our sales capacity, enhance our predictive AI platform, and expand from 9 to 50 workplace customers across Northern Europe.

We are currently raising €650,000 and are open to discussing equity based on valuation alignment and strategic fit. Our priority is to partner with investors who bring expertise in SaaS scaling, HR tech, and health innovation. The specific share will be determined during negotiations to ensure long-term alignment and sustainable growth for all parties

Key risks include slow adoption by conservative HR teams, aggressive competition from larger HR tech players, and rapid shifts in AI or data privacy regulation. We mitigate these through strong partnerships with insurers and HR systems, a GDPR-first design, and a community-led approach that drives trust, early adoption, and organic brand growth.

MMW was selected as one of 20 leading mental health startups in Scandinavia and 1 of only 4 fr om Denmark in the Next In Mind Incubator, recognizing our innovation in workplace mental fitness. We also joined the Beyond Beta Accelerator, wh ere we refined our GTM strategy, investor readiness, and commercial scaling through HR and health-insurance channels

MMW was selected as one of the Top 20 Rising Startups in Europe at Bits & Pretzels 2025, Europe’s leading startup festival. Competing among thousands of ventures, we were recognized for our innovation, defensible AI model, and scalable impact in workplace mental fitness. This recognition validated our solution’s market potential and investor readiness.

MMW owns all IP related to its platform, content, and proprietary datasets. Our Boosting Tree ML model, trained on 10,000+ ethically collected data points, is fully developed in-house. We maintain GDPR compliance, data encryption, and anonymization. All trademarks and brand assets are registered, ensuring long-term defensibility and ownership of our technology and content.