Scaling Efficient AI, in Context

Radically efficient new architecture - whole codebases and long running agents. Delivered at a reduced infrastructure, cost and energy footprint.

Teams building in context

Efficient Architecture

Inference is one of the fastest growing workloads

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

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As seen in
Context Layer

Combining compression and context management

Refiant finds and focuses only on what matters efficiently, ensuring compute is used optimally.

10M

Tokens in context

use cases

Proven for intelligence

Messaging
5 years of messages

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.

Documentation

10 years of docs

Reason over 10 years worth of reports in a single session. Ideal for handling compliance and complexity.

Agentic Workflows

24/7/365 agents

Run AI agents 24/7/365 with real-time data inputs held in context.

Research

Learn

Refiant Launches 10 Million Token Long-Context Window

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Imperial College London - Refiant Partnership

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AI Startup Refiant Raises $5M to Slash Energy Footprint of Artificial Intelligence

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Refiant Benchmark Results

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