New Railtracks for Swift ADK and Railengine Swift SDK bring native agent development, cross-device context, and accountability to Apple platforms as Railtown advances its vision for private, secure, and observable agentic software.

Vancouver, British Columbia - Newsfile Corp. - October 6, 2026 - Railtown AI Technologies Inc. (CSE: RAIL) (OTCQB: RLAIF) ("Railtown" or the "Company") today announced the launch of a native Railtracks Agent Development Kit (ADK) for Swift and a new Swift SDK for Railengine, bringing Railtown's agentic application infrastructure directly into the development ecosystem used to build applications across Apple platforms. The launch reflects a broader conviction at Railtown: Apple's ecosystem has the potential to become one of the defining platforms for the next generation of agentic software. Software is beginning to move beyond applications that simply wait for users to tell them what to do. The next generation of applications will increasingly understand context, reason across information, use tools, collaborate with other agents and take actions on a user's behalf. That transition changes what developers need from a computing platform. Agents need intelligence, but intelligence alone is not enough. They need context. They need to move with users across their digital lives while respecting privacy and security. And as agents become capable of taking increasingly consequential actions, users and enterprises need visibility and accountability into what those agents are doing. Railtown believes Apple's combination of devices, silicon, native development technologies, on-device intelligence, privacy architecture and tightly integrated ecosystem creates a compelling foundation for this emerging model of computing. Railtown is building the agentic infrastructure around that foundation.Building Agentic Applications Natively in Swift Swift has become central to the native development experience across Apple platforms, including iPhone, iPad, Mac, Apple Watch and Apple Vision Pro. Railtown's new Railtracks ADK for Swift brings its agent development technology directly into that environment, giving Swift developers native building blocks for creating agentic applications, including agents, tools, orchestration, workflows and multi-agent systems. Rather than treating AI as an external service simply connected to an application, Railtown believes agentic capabilities should increasingly become a native part of the application architecture itself. Railtracks for Swift is designed to allow developers to combine agentic reasoning with the frameworks, models and capabilities available across Apple platforms, opening the door to a new generation of applications that can understand, reason and act within the environments where users already work, communicate and create. From Individual Devices to Continuous Agentic Experiences Railtown is also bringing Railengine to Swift through a new native SDK, providing developers with a contextual intelligence layer for agentic applications. The future of personal agents will not be confined to a single application session or a single device. A user may capture information on an iPhone, continue working on a Mac and later interact with an agent that needs to understand the context of both experiences. For an agent to become genuinely useful, it must be capable of retrieving the right context at the right moment without requiring users to repeatedly reconstruct that context themselves. Railengine is designed to help make that possible. Within Railtown's architecture, personally identifiable information remains in the data layer and is retrieved from iCloud, allowing applications to access relevant context while preserving the separation between personal identity information and the intelligence systems using that context. This creates the foundation for continuous agentic experiences across Apple devices designed around privacy from the beginning. The result represents a fundamentally different approach to AI applications: Intelligence that follows the user's context rather than requiring the user's data to follow the AI.Intelligence Requires Accountability As software gains agency, Railtown believes another principle becomes increasingly important: The more autonomy software receives, the more accountable it must become. Traditional software is largely deterministic. Agentic software can reason, select tools, generate responses, interact with other systems, and take actions. That means developers increasingly need to understand not only whether an application failed, but what an agent did, which tools it used, how it behaved and why a particular outcome occurred. Railtown is extending its observability technology into the Swift development lifecycle so developers can inspect agent executions, understand tool usage, evaluate behaviour, and diagnose failures as they build. Railtown's Conductr platform extends that accountability model...