Independent technical practice

Understanding systems.Beyond their interfaces.

Engineering across the boundaries of software, electronics, communications, cryptography and connected systems. Investigating technology from the application layer down to the underlying architecture.

Explore capabilities ↘The approach — 01

SIGINT / ASR · APPLIED SYSTEMS & RESEARCH

PerspectiveSystems thinking, from silicon to software

PracticeAnalysis · Engineering · Integration

FocusUnderstand complexity. Build with intent.

01 / Disciplines

One system.
Many layers.

The most interesting engineering problems rarely stay in one lane. They cross interfaces, protocols, physical constraints and operational realities. The work starts by seeing the whole system.

01 — SOFTWARE

Software engineering & architecture

Application development, backend systems, APIs, databases, infrastructure, system architecture and software integration.

02 — EMBEDDED

Embedded systems & firmware

Microcontrollers, firmware, device-level software, hardware interfaces, real-time constraints and embedded platforms.

03 — ELECTRONICS

Electronics & hardware

Circuit analysis, electronic components, sensors, signal paths, diagnostics, board-level investigation and physical system design.

04 — CONNECTIVITY

IoT & communications

Connected devices, RFID, telemetry, wireless communications, networking, communication protocols and reliable data exchange.

05 — REVERSE ENGINEERING

Reverse engineering & binary analysis

Executable analysis, disassembly, binary inspection, firmware examination, protocol reconstruction and undocumented system behaviour.

06 — CRYPTOGRAPHY

Cryptography, decryption & cryptanalysis

Cryptographic algorithms, encryption analysis, decryption, encoding schemes, key-management concepts and encrypted data analysis.

07 — CODE ANALYSIS

Deobfuscation & code analysis

Code deobfuscation, unpacking, static and dynamic analysis, control-flow reconstruction and software behaviour investigation.

08 — FORENSICS

Digital forensics & data recovery

File-system analysis, data structures, artifact examination, file-format analysis, metadata inspection and recovery-oriented investigation.

09 — R&D

Research & development

Technical investigation, experimentation, prototyping, feasibility analysis and complex problem solving across engineering disciplines.

02 / Approach

Understand the system. Then improve it.

Good engineering is not defined by a particular language, platform or component. It is defined by sound decisions: understanding constraints, examining evidence, choosing appropriate tools, respecting interfaces and delivering solutions that remain maintainable beyond the initial implementation.

End-to-end perspectiveHardware, software, communications and operations.

Evidence over assumptionInspect, measure, test and validate.

Fit-for-purpose methodsChoose the right tools for the problem.

Long-term reliabilityBuild for real operating conditions.

03 / Technical domains

Across the stack.

A broad technical foundation makes it possible to work across disciplines, connect specialized components and reason about the complete behaviour of a system.

Application & backend engineeringSW / API

Electronics & circuit systemsHW / EE

Embedded platforms & firmwareMCU / RT

RFID, sensing & identificationRF / ID

Reverse engineering & binary analysisRE / BIN

Cryptography, decryption & cryptanalysisCRYPTO

Deobfuscation & code reconstructionCODE / CFG

Protocol & communications analysisNET / COMMS

Digital forensics & data recoveryDF / DATA

Systems integration & automationSYS / INT

Research, testing & prototypingR&D

Data architecture & persistenceDB / DATA

SIGINT / Applied Systems & Research

Technology is a means.
Understanding is the advantage.

Engineering · Technology · Research