HYTOON™ reduces LLM token consumption by 34.6%, saves 48% of payload bandwidth, and processes 8.6× faster than standard JSON — for every IoT sensor, camera, and industrial data stream.
Every structured data payload sent to an AI engine is charged by the token. Standard JSON wastes the majority of those tokens on braces, brackets, repeated key names, and whitespace — none of which carry any meaning for the AI.
HYTOON™ (Hybrid Token-Oriented Object Notation) is a patent-pending data serialization format that strips all syntactic overhead while preserving 100% of the semantic data. The result is a dramatically smaller, faster payload that costs less to transmit and process — at any scale.
Verbose field names are replaced with a proprietary bidirectional abbreviation dictionary. "event_type" becomes "ET". "camera_name" becomes "CN". Full semantic meaning preserved. 70% of field name tokens eliminated.
JSON's multi-line hierarchy — braces, brackets, indentation, repeated punctuation — is collapsed into a single pipe-delimited line. Every structural token eliminated. Same data, radically smaller payload.
Pipe characters and colons are chosen specifically for how LLMs tokenize text. The format is designed from the ground up for AI consumption — not human readability or legacy system compatibility.
HYTOON™ is domain-agnostic. Wherever structured JSON payloads are transmitted to LLMs or AI analytics engines, HYTOON™ reduces costs and increases speed.
HYTOON™ is available for commercial licensing across three tiers. All licenses include the patent-pending technology, bidirectional encoder/decoder, domain-specific field mapping, and technical support.
All licensing enquiries handled directly. Pricing structured as upfront license fee plus per-unit royalty. NDA required prior to technical disclosure.
All licensing discussions are handled directly and confidentially. NDA provided on first contact.