Case Study: Athos achieves faster BI and real-time product insights with Mode

Athos makes unique performance apparel to help elite athletes get the most out of their workouts

Athos builds smart performance apparel with built‑in sEMG sensors that stream biometric data to the cloud, helping athletes optimize workouts. As the company collected billions of sensor records daily, business teams grew dependent on the research group to extract insights from Jupyter notebooks, a slow process that made sharing results, resolving customer issues, and spotting production defects difficult.

Athos adopted Mode for integrated Python notebooks, self‑serve pivot tables, and scheduled reports (now used by 49 people with ~90 daily runs), giving business users quick access to curated analytics and enabling hourly alerts for athlete garments. The change cut manual reporting, saved about 3 hours weekly, sped up customer support and defect triage, and freed researchers to focus on deeper product work — letting Athos be more proactive and data‑driven as it scales.

Athos

Brett Jaffe

Business Development Manager