Technology

Built across the
full systems stack.

Six capability areas · Grounded in actual use

Zentrix Labs builds across the complete stack required for mission-critical autonomous systems — from embedded hardware to application software. The technologies listed here are those we actually use across our current products, not a marketing list.

Capability Areas
01
Embedded Systems & Edge Compute

Onboard compute for autonomous systems where cloud connectivity cannot be assumed. Real-time sensor processing, low-latency control loops, and reliable operation on resource-constrained hardware in field conditions.

Applied in DROGGO for onboard sensor pipeline processing and in HUGO-I for embedded joint control.

Raspberry PiRaspberry Pi Pico W C++Embedded CPython
02
Computer Vision & Sensor Fusion

Multi-sensor data integration and real-time visual processing for navigation, object detection, and environmental understanding. Designed for outdoor and unstructured environments where controlled conditions cannot be guaranteed.

Applied in DROGGO for 360-degree camera processing and environmental sensing. Under development for HUGO-I perception layer.

OpenCVEdge AI Sensor fusionPython
03
Autonomous Navigation & Control

Path planning, obstacle avoidance, and motion control for ground and robotic systems in unstructured environments. Includes GPS-denied navigation research using visual odometry and inertial measurement.

The autonomous navigation milestone is the current active development focus for DROGGO.

ROSSLAM Control systemsC++Python
04
Robotics & Mechatronics

Mechanical design, actuator selection, kinematics, joint control, and embedded motor drive for manipulation systems. Covers the full path from mechanical CAD to running embedded controller.

Core capability for HUGO-I. Working prototype demonstrates programmable manipulation with embedded control.

Servo controlKinematics Mechanical CADMotor drive
05
Cybersecurity & AI Evaluation

Frontier AI model evaluation covering capabilities assessment, adversarial behaviour testing, safety control evaluation, and vulnerability identification. Conducted under responsible disclosure principles.

Applied in the confidential AI Security Platform developed with an external AI company.

AI evaluationRed teaming PythonGoAdversarial testing
06
Mission-Critical Software & Telemetry

Real-time telemetry pipelines, system state monitoring, data logging, and mission management software for autonomous systems. Designed for reliability in environments where connectivity is intermittent.

Supporting infrastructure across DROGGO and HUGO-I product development.

MQTTPostgreSQL RedisDockerAndroid
Technology Principles

How we choose
what to build with.

01
Use what works in the field
Technology choices are driven by what performs reliably in real operating conditions, not what is newest or most impressive in controlled settings. If a simpler approach works in the field, we use it.
02
Own the critical stack
For mission-critical functions, we build and maintain our own implementation rather than depending on external services that could be unavailable when needed. Autonomous operation requires onboard capability.
03
Only list what we actually use
The technology list on this page reflects what we use across current products. We do not list aspirational technologies, technologies we have evaluated but not deployed, or logos chosen for marketing purposes.
04
Document what we learn
Technical findings from product development are documented internally and will be published as technical notes and papers. We contribute back to the knowledge base we draw from.