Now in Private Beta

The AI layer that
thinks before it sends.

Radically efficient context compression. Built for the next generation of AI systems.

Get Early Access See How It Works
10×
Context Compression
Encode the same context in a fraction of the tokens — without losing meaning.
~80%
Token Cost Reduction
Spend less on every API call. The savings compound across millions of requests.
<1ms
Encoding Latency
WASM-powered encoding runs in microseconds — invisible to your users.
Product

Less noise.
More signal.

TensLab's TENS format strips AI context down to its semantic core — giving models exactly what they need, nothing more.

01
TENS Encoding

Binary token-level compression that preserves semantic fidelity while slashing byte overhead by up to 10×.

02
Contex Engine

Intelligent context management that selects, prioritizes, and deduplicates information before it reaches the model.

03
Drop-In Middleware

Works transparently with OpenAI, Anthropic, and Gemini APIs. One line of change. Immediate savings.

04
Semantic Caching

Deduplicates repeated context across sessions, cutting redundant tokens on every conversation turn.

05
Cost Analytics

Real-time dashboards showing exactly how much you're saving per model, per endpoint, per day.

06
Privacy-First

All compression runs locally or on your own infra. Your prompts never leave your environment.

Technology

Engineered to
the token.

CONTEXT IN LLM API SAVINGS
TENS Format

Token-efficient serialization for AI context.

TENS is a compact binary format built from the ground up to minimize token consumption without losing meaning — enabling longer conversations at a fraction of the cost.

Binary Encoding WASM-powered Lossless Model-agnostic Open Protocol
Developers

Integrate in minutes.

One import. Same API surface. Immediate token savings — no refactoring required.

1
Install the package
Add @tenslab/middleware to any Node.js project in seconds.
2
Swap your client
Replace your existing OpenAI import with TensLab's drop-in client. That's it.
3
Watch the savings
Same responses. Fraction of the tokens. Open the dashboard and watch costs fall.
View on GitHub
index.ts 
// Before ─────────────────────────────
import OpenAI from 'openai'
const client = new OpenAI()

// After ─────────────────────────────
import createClient from '@tenslab/middleware'

const client = createClient({
  provider: 'openai',
  apiKey:   process.env.OPENAI_API_KEY,
  compress: true,
})

// Identical API. 80% fewer tokens. ──
const res = await client.chat.completions
  .create({ model: 'gpt-4o', messages })

// $0.80 → $0.16 per 1M tokens 🎉

Works with every major AI provider & framework

OpenAI
Anthropic
Gemini
LangChain
LlamaIndex
Vercel AI

Build smarter.
Spend less.

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View on GitHub