2,847,291LLM calls compressed today

Now compressing for |

Compress LLM calls.Cut 65% costs.

The best way to cut LLM costs without losing meaning. Drop-in for OpenAI, Claude, Llama — save up to 65% per request.

Paste any LLM call. Watch it shrink.

Real Llama 3.3 70B running on Groq. Paste any LLM input — get a semantically identical compressed version + real cost savings vs GPT-4o.

Raw LLM input

~120 tokens

Compressed

~0 tokens
Click Compress to send your LLM call to Groq Llama 3.3 →
120120tokensSaved $0.0000 per request

Compression powering production at

Integrate tonight

Drop our SDK in. One line of code, 65% smaller LLM calls on every request.

import { Techkern } from "techkern-sdk";

const compressed = await Techkern.run({
  prompt: "...your LLM input here...",
  ratio: 0.35  // target 65% reduction
});

// Use compressed.text in your OpenAI / Claude / Llama call

Live in production

First-class developer experience

Every compress event is logged with token diff, model, region and latency. Watch your savings stream in real time.

  • Per-key audit log, queryable for 90 days
  • Replay any compressed LLM call against raw to verify quality
  • Webhook push to your own logger (Datadog, PagerDuty, OTEL)
200
gpt-4o·saved 430 tokens·$0.005212mshnd
200
mistral-l2·saved 1,157 tokens·$0.01395msiad
200
gpt-4o-mini·saved 322 tokens·$0.00395msiad
200
llama-3.1·saved 2,808 tokens·$0.03376msfra
200
gpt-4o-mini·saved 474 tokens·$0.00575msiad
200
gpt-4o·saved 1,614 tokens·$0.01945msiad

By the numbers

Built for the throughput you need

0%

Avg tokens cut

<0ms

P50 latency overhead

0.00%

API uptime SLA

$0.0000

Saved per request

Cut tokens, not meaning

Production-ready compression that respects your LLM context.

Lossless semantic preservation

We strip filler, never meaning. Every cut is reversible-verified before shipping.

One-line drop-in

Replace your OpenAI base URL with ours. No SDK rewrites. Works with Claude, Llama, Groq.

Sub-10ms overhead

Compression runs in parallel with your call. Your users feel zero delay.

Per-model tuning

Different tokenizers, different waste. We optimize per upstream model.

Streaming-safe

Tokens compress before send, decompress on receive. Stream the full response.

Auto-rollback on quality drop

Built-in evaluator. If output quality slips, we fall back to raw.

Token-level audit log

See exactly which tokens were cut and why. Replay any request.

Bring your own compressor

Use ours, LLMLingua-2, or plug your own. Same API.

SOC2-ready

End-to-end encrypted. Zero retention. EU + US compute regions.

Beyond expectations

We dropped Techkern in and our monthly OpenAI bill went from $11k to $3.8k. Took an afternoon to integrate. Quality scored higher in our eval suite.

Jordan Diaz

CTO · Echolane (YC W25)

Their drop-in SDK saved us $14k/month in API spend. Switched eight LLM apps in an afternoon.

Maya Reeves

Eng Lead · Cosmic.ai (YC W26)

Techkern reduced our long-context calls by 71% without quality loss on RAG. Our LangChain bills crashed.

Tom Iversen

CTO · Drift Labs

Everything in your control

Per-key analytics. Per-model breakdowns. Per-call audit logs. All real-time.

Compressed

2.4M↑ 100%

Saved tokens

1.6M↑ 100%

Saved $

$187↑ 100%

Latency p95

9.2ms

Errors

0.01%

Active keys

4

Tokens compressed · 24h

live

Pricing

Start free. Scale per-token. No retainer.

Free

Hobby

$0/ month

  • 10,000 tokens / mo
  • All open-source compressors
  • Community Discord
  • Single API key
Start free
ProRecommended

Pro

$19/ month

  • 1,000,000 tokens / mo
  • LLMLingua-2 + Bear compressors
  • 5 API keys, audit log
  • Priority support
Get Pro
Scale

Enterprise

Usage-based

  • 10M+ tokens, custom volume
  • Dedicated GPU pool
  • SOC2, EU + US regions
  • SLA + dedicated engineer
Talk to us

Compression, reimagined

Ship faster.
Pay less.

Two lines of config. Sub-10ms overhead. The bill goes down on the same day. Try the playground above — no signup.