AI prompts go in. Fewer tokens come out.
Same quality. Lower cost. Your data stays yours.
Every prompt is analyzed and optimized before it reaches the AI. Redundant language removed. Context preserved. Quality verified across four providers.
Blind-tested on 512 real prompts across GPT-4o, Claude Sonnet, Gemini Pro, and Grok. Quality scores above 4.0 out of 5.0 on every provider.
ChatGPT, Claude, Gemini, and Grok. Each with a tuned compression profile matching the model's sensitivity. Switch freely.
Military-grade encryption at rest and in transit. Your compression data is protected by multiple security layers designed from the ground up.
Change one import. Set one environment variable. Your existing code works immediately. No config files. No dashboard. No SDK complexity.
Compression runs in your environment. Your prompts never touch our servers. Zero data exposure by architecture, not policy.
The compression learns from your usage patterns and improves automatically. Patent-protected and encrypted end-to-end.
pip install ordica
Set your Ordica API key
Change one line of code
from ordica import OpenAI
Every API call is compressed
Same responses, fewer tokens
Ordica compresses prompts inside your own environment. We never see your messages, your API keys, or your data.
The only signal that crosses the wire is anonymous telemetry — token counts and savings percentages. This isn't a policy. It's the architecture.
Optimized for each provider. Switch between them freely.
Every message is a real-world test. An independent AI judges compressed vs. original responses without knowing which is which.
Blind-tested: an independent AI judged compressed vs. original responses without knowing which was which. Quality delta = compressed minus original. Positive means compression improved the response. Deltas within ±0.10 are within normal statistical margin.
All tests run on current production models. No cherry-picking. Full methodology available on request.
Based on validated compression rates. Actual savings depend on prompt mix and provider usage.
| Monthly API spend | ChatGPT | Claude | Grok | Gemini | Blended avg |
|---|---|---|---|---|---|
| $1,000 /mo | $2,796 | $3,144 | $3,156 | $1,632 | $2,682 |
| $5,000 /mo | $13,980 | $15,720 | $15,780 | $8,160 | $13,410 |
| $25,000 /mo | $69,900 | $78,600 | $78,900 | $40,800 | $67,050 |
| $100,000 /mo | $279,600 | $314,400 | $315,600 | $163,200 | $268,200 |
| Savings rate | 23.3% | 26.2% | 26.3% | 13.6% | 22.4% |
The numbers above are from short single-turn chat tests. Enterprise workloads with longer prompts, conversation history, and repeated system instructions compress significantly more.
Tested on 100 realistic enterprise scenarios — real prompts with real token volumes.
| Workload | Avg input | Compression | Savings |
|---|---|---|---|
| Few-shot classifiers Redundant examples deduplicated from system prompt |
910 tok | 94.5% | |
| Customer service bots Verbose 3000-token system prompt compressed |
1,213 tok | 84.6% | |
| RAG pipelines Irrelevant retrieved docs pruned, relevant kept |
1,400 tok | 74.9% | |
| Multi-turn support 20+ turns, filler stripped, facts extracted |
1,073 tok | 31.4% | |
| Agent tool output Database results, dense tabular data |
694 tok | 9.5% |
Enterprise workloads compress dramatically better than short chat messages. Few-shot classifiers save 94.5%. Customer service bots save 84.6%. RAG pipelines save 74.9% by pruning irrelevant retrieved documents. Average across all enterprise scenarios: 59%. The real number depends on your workload — and these numbers are from v1. They improve with usage.
If we save you nothing, you pay nothing. The dashboard shows every dollar.
No. Your messages pass through the proxy to reach the AI provider, but we never store, log, or read them. The only data we keep is anonymous counts — how many tokens were sent, how many were saved, and which provider you used. There is no database column for message content. It doesn't exist in our system.
We test this blind across hundreds of real prompts on all four providers — and the number grows with every conversation. Quality scores stayed above 4.0 out of 5.0. The compression removes redundant language and fluff that the AI doesn't need — think of it as editing a wordy email before sending it. The meaning stays the same.
The compression adds a few milliseconds — you won't notice it. Whether you're using ChatGPT, Claude, Gemini, or Grok, the provider's response time is what you feel, and that's unchanged. In some cases, shorter prompts actually get faster responses because the AI has less to process.
The system is fail-safe. If compression can't be applied confidently, your prompt goes through untouched — you just don't save tokens on that message. You'll never get a broken response because of compression. Worst case is zero savings, not worse quality.
ChatGPT (GPT-4o) is a strong all-rounder — great for general questions, writing, and brainstorming. Claude is known for natural writing and careful, thoughtful responses. Gemini has the deepest reasoning and largest context window. Grok is fast and conversational with less filtering. Try all four and see which one clicks for you.
During the alpha, yes — completely free. You're helping us test the compression on real conversations, which is valuable to us. There's no catch, no credit card, no upsell. After the alpha period, the chat interface may move to a paid model, but you'll know well in advance.
It tells us whether the AI's response was good or not — that's it. We don't see the response itself, just your rating. This helps us make sure compression isn't hurting quality. It's completely optional.
Alpha access is invite-only. Try the chat interface for free, or integrate the SDK in sixty seconds.