Building beyond today's interface.
Our research asks one question: what does it take for AI to act in the real world — capably, securely, and under control?
Research areas
Agent execution
Architectures that let AI agents carry out real work across software and infrastructure.
AI security
Machine-speed offense and defense — and what security means when both sides automate.
Human–agent interaction
Interfaces where people direct, supervise, and trust systems that act on their behalf.
Controlled autonomous systems
Risk evaluation, approval, verification, and rollback as first-class system primitives.
Enterprise intelligence
How organizations reason: turning operational data into context agents can use.
AI governance
Auditability and oversight mechanisms that make autonomous operation accountable.
Patent-pending technology
Extension AI holds patent-pending technology for controlled AI-agent execution and approval — the control layer at the core of extn OS.
Applied work & experiments
Beyond the three core systems, Extension AI runs applied projects and experimental products. They serve as testbeds for the same thesis: intelligence, extended into action.