Optimized useful tokens per dollar, useful tokens per watt, latency at concurrency and rack density across real customer workloads
Democratizing the transition from traditional workflows to Intelligent Action across enterprise and consumer applications
Data centres and agents are the intelligence factories and autonomous workers of the future
We aim to:
Larger models will always bring more intelligence, but with agentic workflows smaller models can be good enough. Contextual agents plus data and multi-step actions can bring more useful intelligence than knowledge embedded in model parameters.
But, Agentic workflows can increase token use by 50-500x over prompt driven AI, so data centre efficiency is critical and longer term model stability is essential to enterprise adoption. Cost of tokens will drive management decisions more than model complexity.
Rigpa's solution will always make tokens cheaper and faster than the best GPU solutions
And developing the tools that will enable agentic AI across all enterprise and consumer intelligence needs
Rigpa is building silicon and an ecosystem for the easy transition from traditional decision flows to agentic autonomy. Supporting real world applications to become intelligent autonomous workflows operating within safe guard-rails at the best cost per action.
Accelerating transformers and the model APIs directly.
Enabling the easy transition from traditional to Agentic flows
At Rigpa we believe in the harmony of collaborative business and development, and see the democratization of AI as an essential part of the next step in human society's evolution.
We are building partnerships across the whole end to end semiconductor and AI development process.