KYNEXUS™
From Mission Requirements to Autonomous Flight.
An Agentic AI software engineering and perception platform that enables defence and aerospace organisations to design, generate, validate, deploy and continuously improve drone software — from mission requirements and flight logic to real-time camera-based perception and object classification.
Not a chatbot. An engineering orchestration layer.
KYNEXUS combines Agentic AI, computer vision, autonomous-system engineering, simulation and automated validation into a single platform. Instead of engineers manually developing every software component for a drone, specialised AI agents collaborate across the entire development lifecycle.
Seven agents. One engineering intelligence.
KYNEXUS's AI Agent Fabric is a collection of specialised agents working in concert — from mission definition through to deployable software packages.
Mission Agent
Translates high-level mission objectives into structured system requirements and operational constraints.
Systems Engineering Agent
Derives system architecture, interfaces and traceability links from validated requirements.
Software Engineering Agent
Generates flight-control software components, middleware and platform integrations.
Perception Agent
Builds camera-processing pipelines, AI/ML models and object-detection and classification components.
Simulation Agent
Creates virtual scenarios, synthetic camera feeds and sensor simulations for pre-deployment testing.
Validation Agent
Executes automated test suites, analyses results, identifies failures and triggers regeneration loops.
Deployment Agent
Packages and delivers verified software to cloud, edge or air-gapped target environments.
Every layer of drone software. Generated and managed.
KYNEXUS can generate and manage software across the full drone software stack — from high-level autonomy behaviours down to hardware interfaces.
Flight & Autonomy
- Mission planning
- Waypoint management
- Navigation logic
- Sensor integration
- State estimation
- Path planning
- Autonomous behaviours
- Geofencing
- Return-to-home logic
- Fail-safe behaviour
Drone Platform Software
- Linux-based systems
- RTOS components
- ROS / ROS 2
- MAVLink
- PX4-based systems
- ArduPilot-based systems
- Custom UAV middleware
- GPU / AI compute platforms
- Camera interfaces
- CAN / Ethernet / serial interfaces
Camera → AI → Understanding.
The platform processes camera feeds through a full perception pipeline — from raw frames to actionable intelligence. The object taxonomy is configurable to the customer's approved mission and dataset.
Perception Capabilities
Object Detection
Identify objects within frames in real time.
Object Classification
Determine the predefined class of a detected object.
Object Tracking
Maintain object identity across successive frames.
Sensor Fusion
Combine data from multiple approved sensors to improve situational awareness.
Geolocation
Associate detected objects with the drone's position and sensor geometry.
Supported Camera Types
From intent to validated system.
Instead of the traditional engineer → IDE → code → compile → test cycle, KYNEXUS enables a closed-loop engineering environment where AI agents handle the heavy lifting.
Analyse requirement
The agent parses and structures the incoming requirement.
Identify components
Required software components and interfaces are mapped.
Select architecture
An appropriate perception and software architecture is chosen.
Generate & configure
Implementation components and configuration are generated.
Simulate & validate
Test scenarios are run and results analysed automatically.
Correct & redeploy
Failures are identified, components regenerated and validation repeated.
Validate before the aircraft ever leaves the ground.
The Simulation Agent connects generated software to a full range of virtual environments and synthetic data sources, automatically generating test scenarios that stress-test the system before deployment.
Auto-generated test scenarios
An AI-native validation framework.
KYNEXUS maintains a continuous validation loop — Build → Simulate → Test → Analyse → Improve → Retest — automatically tracking system health across every dimension.
Full traceability from mission to release.
The KYNEXUS Engineering Knowledge Graph connects every artefact in the development lifecycle — giving defence and aerospace customers the controlled engineering traceability they require.
Five workspaces. One unified platform.
Mission Studio
Define mission objectives and system behaviour.
Engineering Studio
Generate and modify drone software components.
Vision Studio
Configure cameras, datasets, detection and classification models.
Simulation Studio
Create virtual scenarios and execute automated validation.
Validation Studio
Review requirements, tests, defects, traceability and releases.
Cloud. Edge. Air-gapped.
KYNEXUS is designed for secure enterprise and defence environments, supporting private, edge and air-gapped deployments where required.
Cloud
AI model development, dataset processing, large-scale simulation, training and engineering collaboration.
- AI model development
- Dataset processing
- Large-scale simulation
- Training
- Engineering collaboration
Edge
Drone onboard compute, real-time perception, local inference and offline operation.
- Drone onboard compute
- Real-time perception
- Local inference
- Offline operation
Air-gapped
Private infrastructure with customer-controlled data, local LLM/SLM, local vector database and no mandatory external data transmission.
- Private infrastructure
- Customer-controlled data
- Local LLM / SLM
- Local vector database
- No external data transmission
Six layers. One coherent IP story.
KYNEXUS™ = KX-CORE + KX-ENGINE + KX-VISION + KX-SIM + KX-VALIDATE + KX-EDGE
Agent Orchestration
Agent orchestration and engineering intelligence — the central nervous system of the platform.
Software Engineering
Autonomous software engineering — generating and managing drone software components.
Vision Intelligence
Camera perception, detection, classification and tracking — the eyes of the system.
Simulation
Simulation and digital-twin orchestration — validating software before flight.
Validation
Automated verification and traceability — ensuring every requirement is met.
Edge Runtime
Deployment and runtime management for onboard compute — from lab to aircraft.
KYNEXUS™
Build. Perceive. Validate. Deploy.
Agentic Intelligence for Autonomous Aerial Systems.