About

Arcturian Analytics is a leader in merging machine learning with electrocatalysis, an innovative and critical approach in the CO2 capture industry. Our team has developed proprietary algorithms and optimized hardware that give us a strong competitive edge, enabling our systems to adapt intelligently across diverse CO2 capture scenarios.

Join Arcturian Analytics on the frontier of intelligent CO2 capture solutions.

A material scientist analyzing molecules.

Our team has developed adaptive CO2 capture solutions that set new industry standards for efficiency and scalability.

With precision-driven technology and a commitment to innovation, we develop CO2 capture solutions that enhance efficiency, adapt intelligently, and drive meaningful environmental impact.

Our integration of AI with advanced material science underpins our unique solutions, allowing Arcturian Analytics to stay at the forefront of carbon capture technology in an increasingly dynamic market.

Our app leverages AI-driven insights to seamlessly connect advanced material science with real-time carbon capture management, keeping Arcturian Analytics at the cutting edge of carbon capture technology in a rapidly evolving market.

ML-Driven Electrochemistry

Empowering Your Business with Real-Time Carbon Management

Experience the fusion of imagination and expertise with Arcturian Analytics—the catalyst for CO2 reduction that enriches the world around us.

Meet our team

Our team of electrochemists, material scientists, and tech experts are dedicated to advancing carbon capture through cutting-edge innovation and interdisciplinary expertise.

Jason Mazzaroth

Founder, CEO & Computational Physicist

Sun Tzu

Business Strategist

Dr. Samuel Lofland

Chair of Science & Mathematics, Rowan University

Rowan University Students

Electrochemists & Engineers

We’ve worked with some of the best companies.

CarbonIQ

  • Buy, sell, and trade carbon credits.
  • Track your earned, traded, and stored carbon credits.
  • Access and manage electrolyzer analytics platforms.
ML-Driven Electrochemistry