RS21
Data science company providing AI, analytics, and software solutions.
Company facts
- Founded
- 2015
- Employees
- 125
- Headquarters
- United States
- CEO
- Charles Rath
- Type
- Private
- Funding
- Series C · 2024
About
What began in 2015 with a vision to harness the power of data for a better world has evolved into RS21, a dynamic and rapidly growing data science company. Founded by Charles Rath, who brought his experience from Sandia National Laboratories, RS21 (Resilient Solutions 21) was established in Albuquerque, New Mexico, with a mission to help organizations make data-driven decisions that positively impact the world. The company's journey started with the desire to prepare businesses and communities for a constantly changing global landscape by transforming complex data into actionable insights. From its early days, RS21 focused on blending artificial intelligence, data engineering, user experience design, and modern software development methods to create innovative solutions. Over the years, RS21 has expanded its reach and impact, tackling complex challenges across diverse sectors including healthcare, government, defense and national security, urban planning, energy, cybersecurity, climate, and social equity. The company has cultivated a team of talented individuals, including data scientists, AI inventors, software engineers, designers, and domain experts, all driven by a shared purpose. This commitment to innovation and excellence has not gone unnoticed. RS21 has earned recognition as an Inc. 5000 fastest-growing company multiple times and has been lauded as a Fast Company Best Workplace for Innovators. Their approach is rooted in four key ideals: creating solutions that are insightful, intuitive, inspiring, and intellectually honest. This philosophy guides their projects, their partnerships, and their internal culture, fostering an environment where employees are empowered to learn, take risks, and make a tangible difference. As RS21 continues its journey, it remains dedicated to pushing the boundaries of data science and AI to build a more resilient and informed future for communities and industries alike.