Compact AI models that reason over more — whole codebases and long running agents. Delivered at a reduced infrastructure, cost and energy footprint.

Teams building in context
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Refiant compresses models and expands context windows to fit on single GPUs and edge devices, maxising throughput with minimum latency. Access this capability via the Refiant platform.


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Refiant finds and focuses only on what matters efficiently, ensuring compute is used optimally.
Tokens in context
Hold approximately 7.5 million words in context or 15 000 pages back to back. That's 5 years worth of email or Slack messages.

Reason over 10 years worth of reports in a single setting. Ideal for handling compliance and complexity.
Run AI agents 24/7/365 with real-time data inputs held in context.