MRLN.AI | ST Engineering

MRLN.AI® is the next-generation intelligence layer engineered to augment mission-critical operations with agentic, autonomous and context-aware AI capabilities

Built for high-stakes environments where precision, speed and trust are non-negotiable, MRLN.AI integrates seamlessly across mission systems to enhance decision-making, operational tempo and situational awareness.

At its core, MRLN.AI® combines advanced reasoning, data fusion, and secure operational workflows to support complex missions, from emergency response and public safety, to defence, critical infrastructure and national security domains.

Key Capabilities

Agentic Workflows

Autonomous task execution and reasoning across chained mission processes.

Real-Time Intelligence Fusion

Aggregation and interpretation of multisource data streams for rapid sensemaking using AI technologies such as Speech-to-Text, Large Language Models and Vision Models.

Decision Support & Recommendations

Contextual insights aligned with operational rules of engagement.

Secure Integration Layer

Robust interoperability with command platforms, sensors and enterprise systems.

Domain Adaptability

Tuned for emergency management, law enforcement, incident response, border security and more.

Key Differentiators

MRLN.AI brings the next evolution of mission software, turning static systems into dynamic, agent-driven intelligence environments that scale operational effectiveness while upholding safety and trust at every step.

Explainability and Responsible AI Alignment

Designed with transparency in mind, MRLN.AI provides explainable outputs and aligns with responsible AI practices to support trust in autonomous decision-making.

Localised Intelligence

Tailored for local operational environments with capabilities such as Singlish language understanding and region-specific domain expertise.

Multimodal AI on a Unified Platform

Supports integrated processing of text, audio, image and video data for enhanced situational awareness and mission coherence across modalities.

Driving Swift Emergency Responses with AI Agents

Explore how our AI agents enhance frontline operations by turning real-time conversations into instant, actionable insights. Built with advanced speech recognition and machine learning, they transcribe, summarise and analyse emergency calls – even understanding Singlish and local accents.

Hear from Tay Xian Jie, Senior Principal Engineer, DeepBrain, Digital Systems, on how our AI improves situational awareness, accelerates decision-making, and helps emergency teams protect lives when every detail counts.

Sales and Enquiries

Data and AI Solutions

Global

MRLN.AI®