Intelligence in Context

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

Beta release July 2026

Teams building in context

long context models

Inference is one of the fastest growing workloads

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.

As seen in
Products

Two ways for you to use Refiant

API or Chat

Access long context models via a single API. Available in 1M, 5M and 10M context windows. Or use the chat interface and upload your documents.

beta release july 2026

Private deployment

Access long context in your chosen environment to retain data sovereignty.


coming soon
architecture

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 setting. 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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