AAIMS - One stack. Every domain. Every mission.

AAIMS — Autonomy and Augmented Intelligence Mission System — is the software backbone of every SYOS vehicle. Built on an open, platform-agnostic architecture, it provides a single autonomy layer across air, land, sea and subsurface, and integrates seamlessly with existing systems, open third-party platforms and payloads.

AAIMS turns sensor outputs into meaningful information, makes autonomous decisions and executes, as part of a continuous sense, understand, decide and act loop. Its intuitive interface makes controlling multiple uncrewed systems effortless, whether one to many, or many to many.

Its AI-enhanced capabilities transform how missions are planned and performed — reducing operator burden and complexity, enabling swarming and coordinated missions, maintaining navigation in GNSS-denied and contested environments.

When human input is needed, AAIMS delivers augmented intelligence: real-time data, faster decisions, full command and control. Operators set intent. AAIMS handles execution.

Key Capabilities

GNSS-denied resilience in contested environments

Fleet-level command across heterogeneous vehicle types

Hardware agnostic — all SYOS vehicles and any open third-party platforms
Open payload APIs — any sensor, any customer requirement

Rapid spiral development — continuous field-validated improvement

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AAIMS Edge

Onboard autonomy at the platform level, enabling real-time decision-making, resilient navigation, and coordinated behaviour – even in contested or communications-limited environments.

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AAIMS GCS

The ground control station for operators who require direct oversight and control. A unified interface for monitoring platforms, adjusting tasking, and maintaining command authority across missions.

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AAIMS Mission

The mission command center, allowing users to focus on objectives and payload outcomes. Interpret intent, translate into executable tasks, and manage platform level autonomy across the fleet.

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Neural network–based drone interceptor

Autonomous detection, classification, and engagement of hostile drones using onboard neural networks.

Designed for real-time response, adapting to evolving threat profiles and maintaining effectiveness in contested or communications-denied environments.

High-fidelity simulation environments

Simulation environments that test and validate AAIMS capabilities. Modeling platform dynamics, sensor behaviour, computer vision pipelines, communications constraints, and complex multi-domain conditions.

Evaluation across domains and autonomous systems logic, enables rigorous validation of perception, decision-making and coordination, before field deployment.

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