{"slug": "ciya-91-53-token-reduction-private-hardware-no-wrappers", "title": "CIYA – 91.53% token reduction, private hardware, no wrappers", "summary": "CIYA has launched an AI infrastructure layer that eliminates recurring token costs after the first query, achieving a 91.53% token reduction on subsequent operations. The system runs on legacy hardware in air-gapped or connected environments, delivers 1 million token full state resolution in under one second, and converts applications into permanent portable data types. The platform's independent response tables and prompt modeler allow users to store, edit, and reuse LLM outputs without rebuilding or incurring additional token fees.", "body_md": "CIYA: AI infrastructure layer that runs on legacy hardware, eliminates recurring token costs after the first query, and delivers 1M token full state resolution in under a second. Air-gapped, no hallucinations, audit trails built in. Here's a few demos.\n\n100K Token State Resolution in 4 seconds (3G)\n\nFull state resolution on 100,000 tokens in 4 seconds over a 3G connection. Deployable via API, on-prem, on-robot, on your own network / hardware in air-gapped or fully connected environments.\n\nApplications as a Data Type\n\nWhat if applications never needed to be rebuilt again? CIYA converts full applications into permanent portable data types. Run them in the foreground or background, chain them together into larger systems, and spin them up or down in milliseconds. Build once, deploy anywhere.\n\nPrompt Modeling\n\nLLM created content is only the starting point. CIYA's prompt modeler lets you take any response, surgically edit it, add/remove/regenerate portions of data, combine results, and save the final version permanently to your own dev/pub/priv environments. Work iteratively, save thousands in token fees.\n\nIndependent Response Tables (IRT)\n\nAI outputs shouldn't live and die in a single session. CIYA's IRTs let you store any LLM output in independent dev/pub/priv buckets with full access control. Permanent IRT's for whatever the project calls for. IRT's can be expanded upon, curated, randomized or delivered as sequential routine steps making IRT's perfect for agentic business logic that you can't trust LLM's to reproduce faithfully.\n\n91.53% Token Reduction via CIYA\n\nCIYA reduces token usage by 91.53% after the first query. Permanently. CIYA is not a compression trick, cache or thin wrapper. CIYA is a fundamentally different approach to how AI stores and retrieves state. Pay once, own forever.", "url": "https://wpnews.pro/news/ciya-91-53-token-reduction-private-hardware-no-wrappers", "canonical_source": "https://iiio.co", "published_at": "2026-06-03 19:32:42+00:00", "updated_at": "2026-06-03 19:50:16.184327+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-products", "ai-tools", "large-language-models", "ai-agents"], "entities": ["CIYA"], "alternates": {"html": "https://wpnews.pro/news/ciya-91-53-token-reduction-private-hardware-no-wrappers", "markdown": "https://wpnews.pro/news/ciya-91-53-token-reduction-private-hardware-no-wrappers.md", "text": "https://wpnews.pro/news/ciya-91-53-token-reduction-private-hardware-no-wrappers.txt", "jsonld": "https://wpnews.pro/news/ciya-91-53-token-reduction-private-hardware-no-wrappers.jsonld"}}