Astrikos rebrands to enhance enterprise AI solutions

Astrikos.ai has announced its rebranding as it aims to expand its efforts in offering intelligent and sustainable Enterprise Infra AI solutions globally.

The refreshed brand identity represents Astrikos.ai's mission to support enterprises, cities, and governments by leveraging AI-driven technologies to enhance operational efficiency and encourage sustainable growth. This rebranding marks the company's transition from an AI technology firm to a business focusing on Enterprise Infra AI solutions, coupling a human-centric design with advanced technology to better serve its clients.

"The new branding and logo position Astrikos as a visionary leader in the smart enterprise infrastructure solutions space, effortlessly merging intelligence, sustainability, and innovation. By embracing actionable insights, proactive decision-making, and seamless integration, the rebranding strengthens Astrikos's commitment to equipping cities, industries, and communities with future-ready solutions. Combining forward-thinking strategies with measurable impact, Astrikos emerges as the partner of choice for organizations driving transformative, sustainable progress," stated Chinmay Hegde, Co-founder, CEO, and Managing Director of Astrikos.ai.

Hegde further elaborated, "The rebranding cements Astrikos' role as a trailblazer in operational excellence, shaping intelligent ecosystems, and empowering leaders to create a smarter, safer, and more sustainable world."

Astrikos.ai provides solutions across various sectors such as the Public Sector, Data Centers, Urban Local Bodies, Smart Cities, Smart Campuses, Manufacturing Units, Healthcare Infrastructure, Public Safety and Emergency Response, and Airports. Its clientele includes smart cities in countries such as India, the Americas, MENA, and ASEAN, data centers linked to private-sector banks, food and beverage firms, and major infrastructure management companies. The company utilises technologies like predictive analytics, digital twins, and machine learning to aid stakeholders in developing future-ready infrastructure that is both resilient and sustainable.