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Railtown AI Launches Conductr Agent Runtime, Unifying AI Agent Deployment, Data and Observability

  • Written by Media Outreach

New deployment capability brings together Railengine data infrastructure, AI agent deployment and production observability, while laying the groundwork for future agent sharing and developer monetization opportunities

Vancouver, British Columbia - Newsfile Corp. - October 13, 2026 - Railtown AI Technologies Inc. (CSE: RAIL) (OTCQB: RLAIF) ("Railtown" or the "Company") today announced the launch of Conductr Agent Runtime, a new deployment capability within its Conductr platform designed to simplify how artificial intelligence (AI) agents are connected to data, deployed and managed in production. The launch represents an important advancement in Railtown's technology strategy, bringing together its existing Railengine data infrastructure and Conductr observability capabilities with a new agent deployment environment. This integration provides developers and organizations with a more streamlined approach to moving AI agents from development into real-world production environments. As AI agents become increasingly sophisticated, the infrastructure required to deploy and operate them remains fragmented. Developers frequently need to integrate multiple independent services for data connectivity, hosting, deployment and monitoring, creating additional complexity, cost and operational challenges. Conductr Agent Runtime addresses these challenges by bringing together four essential capabilities-Build, Feed, Deploy and Observe-within a unified platform, allowing developers to focus on creating intelligent applications rather than managing the underlying infrastructure.One Platform for the AI Agent Lifecycle Conductr Agent Runtime brings together four core capabilities designed to support developers throughout the AI agent lifecycle: Build: Develop AI agents using Railtown's open-source Railtracks Agent Development Kit (ADK) or other supported development frameworks, providing flexibility in how agents are created. Feed: Connect agents to relevant data and contextual information through Railengine, Railtown's data ingestion and retrieval infrastructure, with support for integration with external data sources. Deploy: Deploy and operate AI agents using Conductr's new Agent Runtime infrastructure, reducing the need for developers to independently configure and manage complex hosting environments. Observe: Monitor agent execution, analyze performance and investigate failures through Conductr's integrated observability capabilities, providing developers and organizations with visibility into agents operating in production. By integrating these capabilities, Conductr provides a more cohesive environment for developing and operating AI-powered applications, reducing the complexity traditionally associated with bringing AI agents into production. "Building an AI agent is becoming easier every day. The real challenge is everything that comes after: connecting it to the right data, deploying it reliably, and understanding how it performs in production. With Conductr Agent Runtime, we're bringing all of that together in one place, so developers can spend less time managing infrastructure and more time building great agents," said Marwan Haddad, CTO and Co-Founder of Railtown AI. Built for Developers, Designed for Production Conductr Agent Runtime is designed to support an open ecosystem of AI development frameworks, allowing developers to continue working with their preferred tools while benefiting from a common deployment and operational environment. The new capability builds on Railtown's existing investments in AI agent development, contextual data infrastructure and production observability, bringing these technologies together to create a more integrated developer experience. Rather than requiring developers to independently assemble and maintain multiple services, Conductr provides a unified environment where data connectivity, agent deployment and operational monitoring work together. This approach is intended to accelerate the transition from agent development to production while providing organizations with greater visibility into the performance and reliability of their AI-powered applications. The introduction of Agent Runtime also creates additional commercial opportunities for Railtown by expanding the capabilities available within Conductr and supporting ongoing platform usage as developers and enterprises deploy and operate their AI agents. Coming Soon: Agent Sharing and Developer Revenue Opportunities Building on the launch of Conductr Agent Runtime, Railtown is developing an agent-sharing capability designed to allow developers to make their AI agents available to other users and organizations within the Conductr ecosystem. The planned offering will introduce a revenue-sharing model, providing developers with an opportunity to monetize the agents they create while enabling businesses to discover and deploy existing AI solutions rather than developing every application from the ground up. Railtown...

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