Software platforms for endurance training, strength coaching, and music education
Peaksware operates four distinct software brands serving athletes, coaches, and musicians. The tech stack is split between data science (Python, scikit-learn, Pandas) and full-stack web/mobile (React, .NET, iOS/Android), reflecting a product portfolio that spans performance analytics and creative tools. Active hiring is concentrated in marketing (4 roles) and engineering (2 roles) with accelerating velocity, while project focus on A/B testing, customer journey automation, and sales programs suggests a shift toward scaling revenue alongside product modernization.
Peaksware is a 201–500-person software company based in Louisville, Colorado, operating four consumer and professional software brands: TrainingPeaks (endurance athlete coaching platform), TrainHeroic (strength and conditioning software), MakeMusic (music composition and notation), and Alfred Music (educational music publishing). The company serves coaches, athletes, music educators, and performers using principles of deliberate practice. Products span desktop, web, and mobile platforms (iOS, Android, .NET, React), with backend analytics powered by Python and PostgreSQL. The company has been profitable and privately held since 2014.
Peaksware's primary stack includes Python, scikit-learn, Pandas, NumPy for data science; React, C#, .NET for web/backend; iOS, Android, Swift for mobile; and PostgreSQL, SQL Server for databases. CI/CD runs on TeamCity and Jenkins with AWS hosting.
Active projects include A/B testing for user journey optimization, customer journey automation, promotional and sales program development, iOS architecture modernization, and education resource optimization to support product scaling and revenue growth.
Peaksware Holdings, LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.