NI Stack / Product 04 of 08
âš¡ OpenAI's Blind Spot
04

STENO

Lossless Output & Input Compression

Compresses output without losing a single word.

An RL agent that learns each LLM's verbosity patterns and creates a lossless shorthand dictionary. 30–60% output compression. Zero quality loss. Bi-directional. OpenAI has prompt caching, speculative decoding, and KV quantization — but nothing that compresses the output itself.

$8–15B Annual savings at OpenAI scale
30–60% Output compression ratio
0% Quality loss (lossless)
Bi-Dir Input + Output
Try STENO → How It Works ↓
STENO Compression — data stream compressed through a diamond funnel to pure light
The $15 Billion Blind Spot

OpenAI Optimized Everything — Except the Output.

✅ OpenAI Has

Prompt Caching

50-90% savings on cached input tokens

✅ OpenAI Has

Speculative Decoding

2-3× latency reduction via draft models

✅ OpenAI Has

KV Cache Quantization

INT8/FP8 memory compression inside model

✅ OpenAI Has

MoE Routing

Activate fewer parameters per token

✅ OpenAI Has

PagedAttention

Virtual memory for KV cache

❌ Nobody Has

STENO

Lossless output compression via learned verbosity dictionaries

Architecture

RL Agent Learns the LLM's Verbosity

STENO observes each LLM's output patterns and builds a contraction dictionary — like shorthand for AI. The dictionary grows smarter with every request.

1

Observe

The RL agent monitors LLM output across millions of requests, identifying repeated phrases, boilerplate, and verbosity patterns unique to each model.

2

Learn

A contraction dictionary is built per model using Fibonacci-positioned token anchors. "In conclusion, it is important to note that" → single token.

3

Compress

Output tokens are replaced with dictionary contractions in real-time. 30-60% fewer tokens billed. Zero quality degradation — fully lossless.

4

Expand

Client-side expansion restores the full output. Bi-directional: input prompts are also compressed before sending to the LLM.

LLM Output (723 tokens)

"In conclusion, it is important to note that the implementation of quantum-safe cryptographic algorithms requires careful consideration of several key factors. First and foremost, organizations should evaluate their current cryptographic infrastructure..."

→ STENO →

Compressed (289 tokens — 60% savings)

"⌁ quantum-safe crypto requires: 1) eval current infra..."

Client expands to full text. User sees original quality.
For Chief Information Security Officers

Lossless Means Lossless

🔐 Cryptographic Integrity

Every compression/expansion cycle produces a BLAKE3 hash verification. If even one character changes, the integrity check fails. Mathematically proven lossless.

📊 Audit Trail

Compression ratios, dictionary versions, and expansion receipts are logged via POAW hash-chain. Full EU AI Act Art. 14 transparency.

🇪🇺 Data Sovereignty

Dictionaries are built and stored on sovereign EU infrastructure (Hetzner). No customer prompt data leaves the EU. Zero US subprocessors.

🛡️ Network Effect Moat

More customers → better dictionaries → better compression → more customers. Competitors cannot replicate without our customer base and patent portfolio.

For Chief Procurement Officers

You're Paying for Verbosity. Stop.

MetricWithout STENOWith STENOImpact
Output tokens billed 100% (full verbosity) 40-70% (compressed) 30-60% reduction
Input tokens billed 100% (full prompts) 70-85% (bi-directional) 15-30% reduction
Quality degradation N/A 0% (lossless) Zero trade-off
Integration effort N/A 1 line (base_url change) Zero engineering
At 1M req/month (500 tok avg) $22,500/mo $15,750/mo $6,750/mo saved

Stop Paying for LLM Verbosity.

STENO activates automatically when you route through api.destill.ai/v1.

Start Free Trial → Calculate Your Savings →
← AEGIS Safety Cascade | All 8 Products →