Enterprise-grade token governance architecture
Curtly combines deterministic AST parsing, in-memory prompt compression, and intelligent output brevity governance to eliminate 40-65% of unnecessary AI infrastructure expenses.
All platform capabilities
Select a feature to view full technical specifications, architecture blueprints, and integration code.
Dual-Stage Optimization
Simultaneously compress input context payloads and eliminate expensive output generation multipliers with zero codebase modifications.
Input Prompt Compression
Strip redundant semantic tokens, whitespace bloat, and RAG document noise before payloads reach your frontier model endpoint.
Output Efficiency Injection
Eliminate conversational preamble, apologies, and formatting fluff from LLM responses to slash expensive generation token invoices.
Safe Vault™ Code Lock
Protect code blocks, JSON schemas, SQL queries, and parameter variables from token compression drift and syntax corruption.
Zero Syntax Corruption Guarantee
Eliminate broken JSON, missing delimiters, and truncated tool schemas in production AI agent pipelines.
Architecture Comparison Matrix
Compare latency, token savings efficiency, and syntax reliability against LLMLingua, secondary LLM summarizers, and manual prompt engineering.
Live Benchmark Inspector
Empirical performance, latency metrics, and accuracy measurements across frontier language models.
Sub-15ms Latency Governor
Engineered for high-frequency trading bots, real-time voice assistants, and interactive coding IDEs where every millisecond counts.
Multi-Model Tokenizer Support
Native token profiling optimized for OpenAI o200k, Anthropic Claude BPE, DeepSeek 128k, and Universal 256k vocabularies.
ROI Token Savings Calculator
Simulate monthly cost reductions, net payback ROI, and bill projections across 13 frontier LLMs.
How Curtly intercepts and compresses tokens
Stage 1: Input Compression
Analyzes input prompt context in-memory, strips conversational redundancies, and preserves critical code blocks bit-for-bit with Safe Vault AST.
Stage 2: Output Governance
Injects precise efficiency directives into the API payload to stop models from generating wasteful apologies, filler preamble, and boilerplate markdown.
Stage 3: Sub-15ms Proxy
Routes payloads seamlessly to OpenAI, Anthropic, or OpenRouter with full streaming support and comprehensive real-time token audit logs.
Ready to optimize your production LLM pipelines?
Start testing prompts with real-time AST token analytics or integrate our drop-in reverse proxy in 60 seconds.