Railtown AI Expands Apple Developer Ecosystem with Open-Source Swift Framework for Private On-Device AI Agents and Local Knowledge Bases

(CSE: RAIL, OTCQB: RLAIF) Railtown AI Technologies Inc. announced the availability of local Knowledge Base and on-device artificial intelligence capabilities through Railtracks Swift RAG, an open-source library within the Railtracks Swift Agent Development Kit (ADK). The technology enables developers building applications within Apple's ecosystem to transform documents and other information into searchable Knowledge Bases stored directly on a user's device. Railtracks Swift RAG builds upon Railtown's October 21, 2026, release of its open-source Railtracks Swift ADK, further expanding the capabilities available to developers creating intelligent applications using Apple's native development technologies. The library provides integration capabilities that developers can use alongside Apple's Core Spotlight, App Intents, Siri and Shortcuts frameworks. Railtracks Swift RAG supports ingestion of PDF, text, CSV and JSON files, organizing their contents into searchable passages that can be retrieved in response to a user's question. Through Retrieval-Augmented Generation (RAG), applications can retrieve relevant information from these Knowledge Bases and provide it to a language model to generate responses grounded in the user's own documents. Retrieved passages retain references to their original source materials. When configured with Apple's supported on-device AI capabilities, the entire knowledge retrieval and response-generation process can take place locally. The library supports Apple's on-device embedding capabilities and local storage, enabling developers to build applications in which document processing, information retrieval and Knowledge Base management remain on the user's device. The library also supports embeddings from cloud AI providers, allowing developers to select local, cloud-based or hybrid approaches. Two demonstrations were showcased: Pocket Manual, which allows users to add documents and transform them into an intelligent, searchable knowledge base processed locally, and AI Travel Planner, which coordinates six specialized AI agents to plan a trip, connecting to external travel information services and storing the resulting knowledge base locally. Pocket Manual integrates with Apple's App Intents framework and enables access through Siri. AI Travel Planner demonstrates multi-agent orchestration and knowledge retrieval using Apple's on-device AI models and embedding technologies. Railtracks Swift RAG includes a native Core Spotlight pipeline for indexing document passages within Apple's search infrastructure and supports integration with Siri and Shortcuts. The library can recognize unchanged documents, replace updated content and remove orphaned entries during ingestion operations. Railtracks Swift RAG is available within Railtown's MIT-licensed Railtracks Swift repository, allowing developers to inspect, modify and incorporate the technology into their applications without requiring a commercial license from Railtown. Developers can use Railtracks Swift independently of Railtown's commercial infrastructure, but may adopt Conductr, Railtown's commercial agentic AI orchestration and operations platform, as their requirements evolve. Railtown believes that expanding its open-source developer community can create opportunities to introduce additional developers and organizations to Conductr. The company views developer engagement as an important component of its long-term commercialization strategy. Cory Brandolini, Chief Executive Officer of Railtown AI, stated that supporting the Apple development ecosystem is an important step toward making Railtown technology available wherever developers want to build intelligent applications. Marwan Haddad, CTO and Co-Founder of Railtown AI, commented that Railtracks Swift makes it simple to build sophisticated AI experiences that leverage Apple's hardware and on-device intelligence.

Railtown AI Open Sources Railtracks Swift ADK, Expanding Apple Developer Access and Creating New Pathways to Conductr Platform Adoption

(CSE:RAIL, OTCQB:RLAIF) Railtown AI Technologies Inc. announced the open-source release of its Railtracks Swift Agent Development Kit (ADK), making its native Swift framework for developing intelligent AI agents publicly available on GitHub under the MIT license. This release extends Railtown's existing open-source Railtracks framework for Python into Apple's native development environment, providing Swift developers with tools to build agentic applications. The initiative is part of Railtown's strategy to encourage adoption of its AI development technologies by removing barriers to entry and supporting community-driven innovation. Railtracks ADK is available as an open-source development framework, while Railtown's commercial Conductr platform provides infrastructure for deploying, managing, orchestrating, and observing AI agents in production environments. The company believes this combination of open-source tools and commercial infrastructure can expand its developer community and create opportunities for future platform adoption and usage-based revenue. By releasing Railtracks Swift ADK under the MIT license, developers can use, modify, and distribute the framework, including within commercial applications, without requiring a commercial license from Railtown. Railtracks Swift ADK provides a native Swift framework supporting agent reasoning, tool invocation, structured outputs, multi-agent orchestration, execution tracing, and configurable guardrails. Developers can work with multiple AI model providers, including OpenAI, Anthropic, and Google Gemini, and access on-device Apple Intelligence capabilities on compatible devices and operating systems. Railtown's open-source strategy is designed to complement the commercialization of its Conductr platform, establishing a developer-to-platform adoption pathway in which open-source tools attract developers and Conductr provides optional commercial services as applications move into production. Developers are not required to use Conductr to develop applications with the open-source Railtracks Swift ADK. The company believes this approach preserves developer flexibility while allowing Railtown to participate commercially when additional production capabilities are needed. Cory Brandolini, Chief Executive Officer, stated that open-sourcing Railtracks is a deliberate part of Railtown's long-term platform strategy to encourage innovation and expand participation in the AI ecosystem. Marwan Haddad, CTO and Co-Founder, emphasized that open source is fundamental to building trust, transparency, and collaboration in agentic software. Railtown intends to continue supporting open-source development and community participation as part of its broader technology and commercialization strategy. Railtracks Swift ADK is publicly available on GitHub under the MIT license at https://github.com/RailtownAI/Railtracks-swift.

FreightCar America, Inc. Updates Full-Year 2026 Outlook and Reports Preliminary Third Quarter 2026 Results

(NASDAQ:RAIL) FreightCar America, Inc. updated its outlook for fiscal year 2026 and reported preliminary results for the third quarter ended September 30, 2026. The company has removed 1,285 railcars related to a tank car retrofit order from its backlog, as it believes the customer is unlikely to meet its contractual obligations. This order was originally scheduled for delivery beginning in the second half of 2026 and continuing through 2027. After this removal, the company's backlog as of September 30, 2026, stands at 2,660 units valued at $284.5 million. Preliminary third quarter 2026 results include railcar deliveries of 662 units, compared to 1,304 units in the third quarter of 2025. Revenue for the quarter is estimated at $75 million to $77 million, down from $160.5 million in the prior year period. Adjusted EBITDA for the quarter is expected to be between $(0.3) million and $0.3 million, compared to $17.0 million in the third quarter of 2025. The updated fiscal year 2026 outlook now projects railcar deliveries of 3,100 to 3,300 units, compared to the prior outlook of 3,500 to 3,900 units. Fiscal 2026 revenue is now expected to be $370 million to $410 million, down from the previous range of $410 million to $460 million. Adjusted EBITDA for fiscal 2026 is now forecast at $15 million to $19 million, compared to the prior range of $36 million to $44 million. The company does not provide a reconciliation of forward-looking Adjusted EBITDA guidance due to the inherent difficulty in forecasting and quantifying adjustments. The preliminary reconciliation for third quarter 2026 shows a loss before income taxes of $(1.9) million to $(1.3) million, depreciation and amortization of $1.9 million, net interest expense of $3.1 million, EBITDA of $3.1 million to $3.7 million, change in fair value of warrant liability and other adjustments of $(4.7) million, stock-based compensation of $0.8 million, and other non-recurring items of $0.5 million. Nick Randall, President and Chief Executive Officer, stated that the removal of the tank car retrofit order is specific to one customer and does not affect other orders in the backlog. He emphasized the company's ongoing commitment to the tank car retrofit market and its focus on railcar types where it has a proven record. Mike Riordan, Chief Financial Officer, commented that the company is positioned to deliver stronger results as the backlog converts into deliveries in 2027 and expects continued growth in the aftermarket business. The company plans to report full third quarter 2026 financial results on Monday, November 9, 2026, after market close, and will host a conference call on Tuesday, November 10, 2026, at 11:00 a.m. Eastern Time.

Railtown AI Opens Conductr Platform to Third-Party Technology Integrations, Launches Technology Integration Partner Program

(CSE:RAIL, OTCQB:RLAIF) Railtown AI Technologies Inc. announced the launch of its Technology Integration Partner Program, a strategic initiative that opens the Company's Conductr AI platform to third-party technology providers. This program enables third-party products, models, and services to be integrated directly into Conductr and made accessible to developer and enterprise customers. The initiative is designed to establish Conductr as an open, extensible platform for artificial intelligence (AI) development, deployment, and operations. Through the program, technology partners can integrate AI models, inference services, data infrastructure, and specialized development tools into Conductr. The program provides technology partners with an additional distribution channel and allows Railtown to expand Conductr's capabilities through partnerships. The commercial model for the program includes an annual integration and participation fee of US$7,500 for technology partners. Additionally, there is a 15% service fee on third-party usage through Conductr, creating a usage-based revenue stream for Railtown. This structure provides Railtown with two sources of revenue: annual partner fees and consumption-based revenue as customers utilize integrated third-party technologies. The program is intended to benefit technology providers seeking broader distribution, developers and enterprises seeking access to advanced AI technologies, and Railtown through recurring partner fees and consumption-based revenue. The initiative is part of Railtown's broader strategy to provide an integrated platform supporting the development, deployment, and operation of AI agents and applications. Cory Brandolini, Chief Executive Officer of Railtown AI, stated that the company's vision is to create an ecosystem where innovative technology companies can reach new customers and developers can access more capabilities through a single platform. The Technology Integration Partner Program is designed to align the interests of Railtown, its technology partners, and Conductr customers by creating a commercial ecosystem where each participant can benefit from broader technology availability and adoption. The program also allows Railtown's internal development teams to focus on core platform capabilities while enabling third-party integrations to expand the platform's offerings. Railtown believes that combining internally developed technologies with integrated third-party services can strengthen Conductr's competitive positioning and provide customers with greater flexibility. The Company intends to continue identifying and working with technology companies whose products and services complement Conductr's existing capabilities.

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

(CSE: RAIL, OTCQB: RLAIF) Railtown AI Technologies Inc. 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. Conductr Agent Runtime integrates Railtown's Railengine data infrastructure and Conductr observability capabilities with a new agent deployment environment, providing developers and organizations with a streamlined approach to moving AI agents from development into real-world production environments. The platform brings together four essential capabilities—Build, Feed, Deploy, and Observe—within a unified environment, allowing developers to focus on creating intelligent applications rather than managing underlying infrastructure. Developers can build AI agents using Railtown's open-source Railtracks Agent Development Kit (ADK) or other supported frameworks, connect agents to data through Railengine, deploy and operate agents using the new Agent Runtime infrastructure, and monitor agent execution and performance through Conductr's observability features. Conductr Agent Runtime is designed to support an open ecosystem of AI development frameworks, enabling developers to use 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, creating a more integrated developer experience. The introduction of Agent Runtime expands the capabilities available within Conductr and supports ongoing platform usage as developers and enterprises deploy and operate their AI agents. Railtown is also developing an agent-sharing capability that will 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. Under the proposed model, developers would be able to create specialized AI agents, make them available through Conductr, and potentially generate revenue as other customers adopt and utilize their solutions. Additional details regarding the planned agent-sharing offering, including its availability, commercial structure, and revenue-sharing terms, will be announced as development progresses. Marwan Haddad, CTO and Co-Founder of Railtown AI, stated that Conductr Agent Runtime brings together all the necessary components for deploying and managing AI agents, allowing developers to focus on building rather than infrastructure. Cory Brandolini, CEO of Railtown AI, commented that the company aims to create an economy around AI agents by introducing agent sharing and a revenue-sharing model within Conductr, enabling developers to commercialize their innovations. The company believes that enabling developers to participate financially in the adoption of their AI agents could encourage greater innovation and participation within the Conductr ecosystem, while creating additional opportunities for platform growth and recurring revenue. The launch of Conductr Agent Runtime represents another milestone in Railtown's strategy to simplify the development, deployment, and operation of AI-powered applications. Railtown intends to build on this foundation by introducing additional capabilities that allow developers not only to build and operate AI agents, but also to share and potentially commercialize their innovations. Cory Brandolini is the Chief Executive Officer of Railtown AI Technologies Inc.

Railtown AI Announces Service-Led Commercialization Strategy to Accelerate AI Adoption Among Canadian SMEs

(CSE: RAIL) (OTCQB: RLAIF) Railtown AI Technologies Inc. announced the launch of its Service-Led Commercialization Strategy, a long-term growth initiative designed to accelerate artificial intelligence adoption among Canadian small and medium-sized enterprises ("SMEs") while expanding recurring software revenue through the deployment of the Company's proprietary AI technologies. Railtown AI has budgeted a minimum investment of $500,000 for the balance of calendar 2026 to fund this program, which may increase depending on initial success. SMEs account for approximately 98.2% of all Canadian enterprises, yet fewer than 12% have adopted AI into their day-to-day workflows. The Company has engaged WSI, a global digital marketing and AI consulting network, to develop and execute its national go-to-market strategy. Railtown AI's grassroots initiatives have contributed to more than 35,000 downloads of the Railtracks Agent Development Kit (ADK). The company projects that its infrastructure-agnostic approach positions Conductr as a valuable software layer for organizations seeking enterprise-grade AI deployment without being locked into a single infrastructure provider. Railtown AI continues to invest in Canada's AI developer ecosystem through university partnerships, developer education, hackathons, community events, and open developer initiatives.

Railtown AI Technologies Announces Appointment of Industry Leader Saeed Otufat-Shamsi to Advisory Board

Railtown AI Technologies Inc. (CSE: RAIL) (OTCQB: RLAIF), a Canadian-based AI developer tools and agentic orchestration company, announced the appointment of Saeed Otufat-Shamsi to its Advisory Board. Saeed brings over 25 years of experience in software engineering, enterprise transformation, and artificial intelligence, including leadership roles at NovoTech Software and TELUS. His expertise is expected to strengthen Railtown's leadership in AI infrastructure and enterprise transformation. The company continues to expand its AI ecosystem, affiliate network, developer platforms, and enterprise AI offerings. This appointment is positioned as a major milestone for Railtown's mission to build and scale next-generation AI developer tools and solutions.