Protocol Decoding via LLM
Turn logic-analyzer captures into documented protocols — with AI
Proven foundations for modern web products
From raw bytes to understood protocols
Microprocessor protocols are often undocumented — captured from logic analyzers as opaque byte streams. We use large language models to decode these traces, infer field semantics, and produce reusable protocol specifications. What used to take days of expert manual analysis now takes minutes.
Capabilities
Automated Trace Decoding
Feed raw SPI, I²C, UART, or CAN captures into an LLM-powered pipeline that decodes transactions into structured, human-readable frames.
Semantic Reverse Engineering
The LLM infers the meaning of payloads — registers, commands, sensors, status flags — building a protocol specification from observations.
Anomaly & Injection Detection
Compare live traffic against the learned protocol model to flag unexpected frames, malformed packets, or potential bus-injection attacks.
Capture-to-Test Generation
Generate test vectors and unit tests directly from decoded captures, so you can validate re-implementations against real-world behavior.
How It Works
Capture Ingestion
Import Saleae / Sigrok / raw CSV logic-analyzer captures of any supported bus.
Signal Reconstruction
Detect clock, framing, and chip-select lines; reconstruct transaction-level frames.
LLM Semantic Decoding
Prompt-tuned LLM infers fields, registers, and command structure from frame data.
Spec & Test Export
Output a versioned protocol spec plus generated test vectors for validation.
Ready to Transform Your Business with AI?
Join hundreds of companies that have already revolutionized their operations with our AI-driven re-engineering solutions.
Trusted by leading companies worldwide
Email Us
nikflipflop@gmail.com
Call Us
+380-50-97-38-170
Visit Us
Bannyi Lane, 1
Kharkiv, 61000, Ukraine