Led Racefox (SME-2, €1.86M) to build an AI coaching platform for runners and cross-country skiers using real-time movement analysis.
WEMEMOVE AB
Swedish SME building real-time AI coaching for endurance sports using IoT sensors, stream processing, and machine learning.
Their core work
WEMEMOVE AB is a Stockholm-based technology SME building AI-powered digital coaching tools for endurance sports, specifically running and cross-country skiing. Their flagship product, Racefox, delivers real-time coaching feedback by analyzing athlete movement data through IoT sensors and machine learning. On the research side, they bring deep expertise in stream processing, distributed systems, and privacy-preserving analytics for sports data. They operate at the intersection of consumer sports technology and industrial-grade data infrastructure.
What they specialise in
Both RAIS and Racefox rely on sensor networks, distributed systems, and real-time big data pipelines applied to athlete performance data.
RAIS keywords explicitly include security, privacy & trust, and blockchain alongside sensor and analytics infrastructure.
Machine learning and data science appear across both projects as core technical capabilities underpinning the coaching logic.
How they've shifted over time
WEMEMOVE began their H2020 participation embedded in a technical research network (RAIS, MSCA-ITN), where their contribution centered on data infrastructure: IoT pipelines, distributed stream processing, big data analytics, and privacy/security. Their second project, running concurrently, shifted the framing entirely toward the end user — sport, training, and digital coaching became the defining terms. This is less a pivot and more a maturation: the infrastructure expertise from RAIS was always in service of the sports coaching application that Racefox represents.
WEMEMOVE is moving from technical contributor in research consortia toward a product-led position, suggesting future collaborations will likely center on their Racefox platform as an applied technology asset rather than generic data engineering capacity.
How they like to work
WEMEMOVE has played both the coordinator role (Racefox) and the partner role (RAIS), which is unusual for an SME with only two projects — it signals genuine project leadership capability, not just consortium participation. Their consortium footprint is moderate: 11 partners across 7 countries suggests they work in mid-sized, international teams. With no repeated-partner pattern detectable at this scale, they appear to build new relationships per project rather than relying on a fixed network.
WEMEMOVE has built connections with 11 unique consortium partners spanning 7 countries across two projects, a reasonable international spread for an early-stage SME. Their network is European in scope but relatively thin — meaningful for finding domain-specific partners in sports tech or IoT, but not a broad industrial network.
What sets them apart
WEMEMOVE occupies a rare niche: they are one of very few EU-funded SMEs combining serious data engineering credentials (stream processing, distributed systems, privacy) with a live commercial product in sports technology. Most sports-tech companies lack research pedigree; most research-oriented data companies lack a deployed consumer product. Their ability to coordinate a €1.86M SME Phase 2 project as a small company also signals above-average proposal and project management capability.
Highlights from their portfolio
- RacefoxAs coordinator of this €1.86M SME Phase 2 grant — the most competitive SME funding instrument in H2020 — WEMEMOVE demonstrated both technical depth and commercial viability, which few small companies achieve.
- RAISParticipation in an MSCA Innovative Training Network alongside academic partners gives WEMEMOVE unusual cross-sector credibility, linking their product work to formal research on Internet of Sports analytics.