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Process millions of tokens.
One request.

An intelligent middleware layer that expands LLM context windows beyond their base limits. Works with models starting from 125K tokens and scales to process over 100M tokens in a single request.

Compatible with major LLM providers
125K+ base context recommended
Simple SDK integration

The context window challenge

Language models have made incredible progress, but context windows remain a fundamental limitation. Even the largest models max out around 2 million tokens.

RAG systems help, but have tradeoffs

Retrieval-Augmented Generation (RAG) can work around context limits by fetching relevant chunks, but this approach has limitations: context fragmentation, relevance ranking challenges, and the inability to reason across entire datasets simultaneously.

Real-world applications need more

Enterprise use cases often require analyzing complete codebases, entire document repositories, comprehensive financial records, or full research databases. These scenarios demand context windows that go far beyond what current models offer natively.

How it works

A simple integration that expands what's possible with LLMs

01

Connect to Your LLM

Use our middleware layer as a drop-in replacement for standard LLM APIs. Works with OpenAI, Anthropic, Google, Mistral, and other providers.

02

Send Your Request

Make standard API calls with your data. Our system intelligently handles requests that exceed the model's base context window.

03

Context Expansion

We process and expand the available context beyond base model limits, enabling analysis of significantly larger datasets in a single request.

04

Receive Results

Get comprehensive responses that consider your entire dataset. The system maintains coherent understanding across the expanded context.

Built for scale

We recommend using models with a base context of 125,000 tokens or more for optimal performance. Our technology allows these models to process over 100 million tokens in a single request.

Features

Everything you need to expand LLM context in production

Universal Compatibility

Works with OpenAI, Anthropic, Google, Mistral, and other major LLM providers. Switch between models without changing your integration.

Simple Integration

JavaScript SDK available at launch, with additional language support planned. Designed to integrate seamlessly with existing workflows.

Usage Dashboard

Monitor API usage, track spending, and manage access through an intuitive dashboard. Full visibility into your requests and costs.

Enterprise Ready

Built with security and scalability in mind. Designed to handle production workloads for businesses of any size.

Use cases

Applications that benefit from expanded context windows

Document Analysis

Process large document collections, legal files, or research papers that exceed standard context limits.

Codebase Understanding

Analyze entire repositories to understand architecture, dependencies, and generate comprehensive documentation.

Data Analysis

Query across extensive datasets and databases to extract insights that require understanding the full data landscape.

Enterprise Knowledge

Build systems that can reason across your organization's complete knowledge base in a single request.

Join the waitlist

Be among the first to experience unlimited context expansion. Early members get exclusive launch pricing and priority support.

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