RUNSTACK Unveils Intelligent Transportation System for AI Deployment

NORTH YORK, Ontario - RUNSTACK, a Canadian AI-tech startup, entered the market with its Intelligent Transportation System (ITS), aimed at enhancing the deployment and management of Artificial Intelligence (AI) agents. The company revealed that its platform would enable users to design, coordinate, and scale AI agents across diverse operational environments.

At the core of the ITS, RUNSTACK is developing a Standalone (SA) system. This will allow users to create AI agents that integrate with third-party systems and facilitate real-time collaboration. The system leverages proprietary technology and adheres to emerging standards such as Autonomous System (AS) Agent-to-Agent (A2A) communication.

“Today, to use AI agents, you need to code or learn complex interfaces,” said Nate Gibson, Co-founder and CTO of RUNSTACK. “We have removed the software from the equation. You chat to RUNSTACK, and that is the entire interface.”

RUNSTACK enables users to orchestrate autonomous teams of AI agents capable of handling workflows typically requiring human oversight, such as project management and customer support. These agents can be customized through Agent Blueprints and connected via a self-learning integration engine known as Tooler.

The result is collaborative AI systems that operate akin to human teams. “We are not making people redundant, we are making them irreplaceable,” Gibson added. RUNSTACK's platform aims to build networks of meta-agents overseeing operational tasks.

RUNSTACK has partnered with select startups and research organizations focused on operational automation through multi-agent systems. A private beta version of ITS is set for release in early 2026, followed by a public rollout later in the year.

Founded in 2025, RUNSTACK's mission is centered on automating repetitive tasks, allowing individuals to concentrate on more strategic work.