Automaton Engine - Building the Engine for Autonomous Intelligence 

Artificial intelligence is advancing at an unprecedented pace, yet the computing architectures that power it were never designed for the scale, complexity, and autonomy that modern AI demands. Today’s AI revolution largely runs on hardware originally created for graphics processing and general-purpose computing. While these platforms enabled the rise of deep learning, they are approaching fundamental limits in energy efficiency, scalability, and real-time intelligence.

Automaton Engine was created to break through these limitations.

The vision behind Automaton Engine is to build a new class of computing architecture designed specifically for the age of intelligent machines. Instead of adapting legacy processors, Automaton Engine rethinks AI computation from first principles - designing silicon purpose-built for neural computation, autonomous systems, and next-generation machine intelligence.

Automaton Engine was founded by Dr. Vikas Rana and Dr. Tom Glint, combining deep expertise in advanced computing architectures, semiconductor technologies, and AI systems.

The ambition of Automaton Engine is to become the computational backbone for the next generation of AI-powering intelligent robotics, autonomous machines, industrial automation, edge AI systems, and large-scale AI infrastructure. Just as GPUs transformed graphics and later unlocked the deep learning revolution, Automaton Engine aims to power the next phase of AI - machines that perceive, reason, and act autonomously in the real world.

Automaton Engine is not just building another chip. It is building the engine for autonomous intelligence.