AI-Driven Innovation

Protocol Decoding via LLM

Turn logic-analyzer captures into documented protocols — with AI

Proven foundations for modern web products

ASP.NET Core & Web API Angular & SignalR MySQL & SQL Server TensorFlow & Python
LLM-Powered Analysis

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.

90%+
Field ID accuracy
10×
Faster analysis
0xA3 0x01 0xFF ...

Capabilities

1

Automated Trace Decoding

Feed raw SPI, I²C, UART, or CAN captures into an LLM-powered pipeline that decodes transactions into structured, human-readable frames.

SPI / I²C / UART / CAN support
Auto clock & chip-select detection
Frame-level reconstruction
Hex-to-semantic translation
90%+ field identificationHandles unknown protocolsMinutes instead of hours
2

Semantic Reverse Engineering

The LLM infers the meaning of payloads — registers, commands, sensors, status flags — building a protocol specification from observations.

Register & command inference
Field boundary detection
State-machine extraction
Auto-generated protocol docs
Reusable spec artifactsReduces expert dependencyVersioned protocol models
3

Anomaly & Injection Detection

Compare live traffic against the learned protocol model to flag unexpected frames, malformed packets, or potential bus-injection attacks.

Out-of-distribution detection
Malformed-frame alerts
Replay attack identification
Fuzzing candidate suggestion
Real-time security monitoringCatches undocumented behaviorStrengthens firmware audits
4

Capture-to-Test Generation

Generate test vectors and unit tests directly from decoded captures, so you can validate re-implementations against real-world behavior.

Auto test-vector generation
Round-trip validation
Differential fuzzing seeds
Conformance checklists
Faster re-implementationRegression-safe refactorsDocumented edge cases

How It Works

1

Capture Ingestion

Import Saleae / Sigrok / raw CSV logic-analyzer captures of any supported bus.

2

Signal Reconstruction

Detect clock, framing, and chip-select lines; reconstruct transaction-level frames.

3

LLM Semantic Decoding

Prompt-tuned LLM infers fields, registers, and command structure from frame data.

4

Spec & Test Export

Output a versioned protocol spec plus generated test vectors for validation.

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+380-50-97-38-170

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