Rescue Tokens from
Inefficient Formats
Building the future of efficient LLM communication
Every token matters. We create tools that help you preserve context,
reduce costs, and maximize LLM performance.
Building the future of efficient LLM communication
Every token matters. We create tools that help you preserve context,
reduce costs, and maximize LLM performance.
Building a future where every token counts
Large Language Models are transforming how we build software, but they come with a hidden cost: every interaction is measured in tokens. Traditional data formats like JSON were designed for human readability and machine parsing—not for token efficiency.
We believe developers shouldn't have to choose between clarity and cost. Our mission is to create tools that rescue tokens from inefficient formats, enabling more powerful AI applications without breaking the bank.
As LLMs process more input tokens, their performance degrades—a phenomenon researchers call "context rot" or "lost in the middle." Models struggle to maintain attention across long contexts, leading to:
Research insight: Studies show that LLM performance can drop by 10-30% when critical information is buried in the middle of long contexts. Reducing total token count while maintaining information density is crucial for optimal performance.
Remove redundancy without losing information
Ensure data integrity with strong type systems
Adapt encoding to your data patterns
Open-source tools built for the AI era
Adaptive eXchange Oriented Notation
A next-generation data serialization format engineered specifically for LLM interactions. AXON achieves 60-95% token reduction compared to JSON while maintaining full type safety and validation.
More tools coming soon...
Follow our progress on GitHub →