Agentic AI in Production
Moving from experimental AI to autonomous agents that execute real enterprise workflows.
Insights
Perspectives, research, and real-world outcomes from our work deploying governed AI systems.
Perspectives
Our thinking on agentic AI, governance frameworks, and enterprise deployment for regulated environments.
AI Governance for Regulated Organizations
Frameworks for compliance, data sovereignty, and ethical AI deployment in regulated sectors.
Sovereign AI Capabilities
Building AI systems with local data residency and regional regulatory alignment.
Research
Applied research from our AI Research Lab on emerging technologies and regionally regulated challenges.
Multi-Agent Systems for Smart Cities
Coordinating autonomous agents across urban infrastructure, transportation, and public services.
Large Language Models for Enterprise
Fine-tuning large language models for specialized domains, industry terminology, and technical applications.
Energy-Efficient AI
Reducing computational costs and carbon footprint of AI systems for sustainable operations.
AI for Energy Transition
Agent-based models for renewable energy integration, carbon markets, and hydrogen economy planning.
Governed Autonomy Frameworks
Decision boundaries, audit mechanisms, and human-in-the-loop patterns for autonomous AI agents.
AI Security for Critical Infrastructure
Adversarial robustness, model security, and threat detection for high-stakes environments.
News
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