Railtown AI Announces a New Feature Release Called "Auto Triage" as Part of the Company's Best-in-Class Conductr Developer Platform
Railtown AI Technologies (OTCQB: RLAIF) has launched Auto Triage, a new feature within its Conductr platform that works alongside the Conductr Root Cause Agent (RCA). The feature automatically prioritizes and manages software development issues in real-time.
Auto Triage streamlines the error management process by instantly creating bug tickets when critical issues are detected, complete with detailed RCA data and live updates. The system leverages Conductr's deep integration with CI/CD systems to detect errors early, particularly during test and staging phases, while intelligently grouping them by root cause.
The innovation aims to reduce mean time to resolution (MTTR) by automatically notifying teams of urgent issues and providing detailed context for quick resolution, including identification of exact code lines, impacted systems, and potential fixes.
Railtown AI Technologies (OTCQB: RLAIF) ha lanciato Auto Triage, una nuova funzionalità all'interno della sua piattaforma Conductr che opera in sinergia con il Conductr Root Cause Agent (RCA). Questa funzione dà priorità e gestisce automaticamente in tempo reale i problemi di sviluppo software.
Auto Triage semplifica il processo di gestione degli errori creando istantaneamente ticket per i bug quando vengono rilevati problemi critici, corredati da dati dettagliati del RCA e aggiornamenti in tempo reale. Il sistema sfrutta la profonda integrazione di Conductr con i sistemi CI/CD per individuare gli errori precocemente, soprattutto durante le fasi di test e staging, raggruppandoli in modo intelligente in base alla causa principale.
L'innovazione mira a ridurre il tempo medio di risoluzione (MTTR) notificando automaticamente ai team le problematiche urgenti e fornendo un contesto dettagliato per una risoluzione rapida, inclusa l'identificazione delle linee di codice esatte, i sistemi coinvolti e le possibili soluzioni.
Railtown AI Technologies (OTCQB: RLAIF) ha lanzado Auto Triage, una nueva función dentro de su plataforma Conductr que trabaja junto con el Conductr Root Cause Agent (RCA). Esta función prioriza y gestiona automáticamente en tiempo real los problemas de desarrollo de software.
Auto Triage agiliza el proceso de gestión de errores creando instantáneamente tickets de bugs cuando se detectan problemas críticos, con datos detallados del RCA y actualizaciones en vivo. El sistema aprovecha la integración profunda de Conductr con los sistemas CI/CD para detectar errores tempranamente, especialmente durante las fases de prueba y staging, agrupándolos inteligentemente según la causa raíz.
La innovación busca reducir el tiempo medio de resolución (MTTR) notificando automáticamente a los equipos sobre problemas urgentes y proporcionando un contexto detallado para una rápida solución, incluyendo la identificación de las líneas exactas de código, sistemas afectados y posibles correcciones.
Railtown AI Technologies (OTCQB: RLAIF)는 Conductr 플랫폼 내 새로운 기능인 Auto Triage를 출시했습니다. 이 기능은 Conductr Root Cause Agent(RCA)와 함께 작동하며, 소프트웨어 개발 문제를 실시간으로 자동 우선순위 지정 및 관리합니다.
Auto Triage는 중요한 문제가 감지되면 즉시 버그 티켓을 생성하고 상세한 RCA 데이터와 실시간 업데이트를 제공합니다. 이 시스템은 Conductr의 CI/CD 시스템과의 깊은 통합을 활용하여 테스트 및 스테이징 단계에서 오류를 조기에 감지하고, 근본 원인별로 지능적으로 그룹화합니다.
이 혁신은 긴급 문제를 팀에 자동으로 알리고, 정확한 코드 라인, 영향을 받는 시스템, 잠재적 수정 사항 등 상세한 정보를 제공하여 평균 해결 시간(MTTR)을 단축하는 것을 목표로 합니다.
Railtown AI Technologies (OTCQB : RLAIF) a lancé Auto Triage, une nouvelle fonctionnalité au sein de sa plateforme Conductr qui fonctionne en complément de Conductr Root Cause Agent (RCA). Cette fonctionnalité priorise et gère automatiquement en temps réel les problèmes de développement logiciel.
Auto Triage simplifie le processus de gestion des erreurs en créant instantanément des tickets de bugs dès la détection de problèmes critiques, accompagnés de données RCA détaillées et de mises à jour en direct. Le système exploite l'intégration poussée de Conductr avec les systèmes CI/CD pour détecter précocement les erreurs, notamment lors des phases de test et de staging, tout en les regroupant intelligemment par cause racine.
Cette innovation vise à réduire le temps moyen de résolution (MTTR) en notifiant automatiquement les équipes des problèmes urgents et en fournissant un contexte détaillé pour une résolution rapide, incluant l'identification des lignes de code exactes, des systèmes impactés et des correctifs potentiels.
Railtown AI Technologies (OTCQB: RLAIF) hat Auto Triage eingeführt, eine neue Funktion innerhalb seiner Conductr-Plattform, die zusammen mit dem Conductr Root Cause Agent (RCA) arbeitet. Diese Funktion priorisiert und verwaltet Softwareentwicklungsprobleme automatisch in Echtzeit.
Auto Triage vereinfacht den Fehlerverwaltungsprozess, indem es bei Erkennung kritischer Probleme sofort Bug-Tickets erstellt, inklusive detaillierter RCA-Daten und Live-Updates. Das System nutzt die tiefe Integration von Conductr mit CI/CD-Systemen, um Fehler frühzeitig zu erkennen, insbesondere während der Test- und Staging-Phasen, und gruppiert diese intelligent nach der Ursache.
Die Innovation zielt darauf ab, die mittlere Lösungszeit (MTTR) zu verkürzen, indem Teams automatisch über dringende Probleme informiert werden und detaillierter Kontext für eine schnelle Lösung bereitgestellt wird, einschließlich der genauen Codezeilen, betroffener Systeme und möglicher Fixes.
- Auto Triage feature enables instant error detection and automated bug ticket creation
- Deep integration with CI/CD systems allows early error detection and grouping
- Potential reduction in mean time to resolution (MTTR) through automated prioritization
- Enhanced team collaboration through real-time updates and notifications
- None.
Vancouver, British Columbia--(Newsfile Corp. - July 17, 2025) - Railtown AI Technologies Inc. (CSE: RAIL) (OTCQB: RLAIF) ("Railtown" or the "Company") a leading innovator in AI-driven developer solutions is excited to announce the launch of Auto Triage, a groundbreaking new feature within its Conductr platform that works in concert with the Conductr Root Cause Agent (RCA).
Triaging in software development involves identifying and prioritizing critical code issues, similar to managing a hospital ER. It categorizes issues by severity, priority, type, and status. The Conductr Root Cause Agent (RCA) automatically detects and analyzes software errors in real time, with the Auto Triage feature prioritizing the most urgent issues for immediate action.
Auto Triage eliminates the delay between error detection and action. When the Conductr Root Cause Agent identifies a new issue, Auto Triage immediately notifies the team of an urgent and critical issue that needs to be addressed, a bug ticket is instantly created on the team's board, complete with detailed RCA data. As the error propagates to other environments, Auto Triage adds live updates and comments to the same ticket, keeping the entire team aligned.
This innovation is only possible because of Railtown's advanced Conductr engine's deep integration and understanding of CI/CD systems. Conductr RCA detects errors early and often during the test or staging phase of a build and intelligently groups them by root cause, proactively pinpointing the exact lines of code, impacted systems, and potential fixes—dramatically reducing mean time to resolution (MTTR).
"This is about getting the right eyes on the right problem, instantly," said Marwan Haddad, CTO of Railtown AI. "Auto Triage gives engineering teams the context and clarity they need to act quickly and effectively, without slowing down development."
"As we continually expand and deliver our best-in-class tools and services to the market and to our broadening vertical customer base, the company will remain constantly committed to our DNA of innovation and R&D," says Cory Brandolini, CEO Railtown AI Technologies.
About Railtown AI Technologies Inc.
Railtown AI Technologies Inc. (CSE: RAIL) (OTCQB: RLAIF) is a leader in developer productivity tools and agentic frameworks. Based in Vancouver, Canada, Railtown delivers solutions that streamline software development workflows, reduce downtime, and increase the speed of innovation for engineering teams worldwide. By embedding intelligence into every stage of the software lifecycle, Railtown is redefining how modern development teams work. Learn more at www.railtown.ai.
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ON BEHALF OF THE BOARD
"Cory Brandolini"
Cory Brandolini, Chief Executive Officer
INVESTOR CONTACT
Rebecca Kerswell
Investor Relations Contact
Email: investors@railtown.ai
Phone: 1-604-417-4440
This news release contains forward-looking statements relating to the future operations of the Company and other statements that are not historical facts. Forward-looking statements are often identified by terms such as "will," "may", "should", "intends", "anticipates", "expects" and similar expressions. All statements other than statements of historical fact included in this release, including, without limitation, statements regarding the future plans and objectives of the Company, the commencement of trading of the Company's common shares on the CSE, are forward-looking statements that involve risks and uncertainties. There can be no assurance that such statements will prove to be accurate and actual results and future events could differ materially from those anticipated in such statements. Important factors that could cause actual results to differ materially from the Company's expectations are risks detailed from time to time in the filings made by the Company with securities regulators.
Readers are cautioned that assumptions used in the preparation of any forward-looking information may prove to be incorrect. Events or circumstances may cause actual results to differ materially from those predicted, as a result of numerous known and unknown risks, uncertainties, and other factors, many of which are beyond the control of the Company. As a result, the Company cannot guarantee that any forward-looking statement will materialize, and readers should not place undue reliance on any forward-looking information. Such information, although considered reasonable by management at the time of preparation, may prove to be incorrect and actual results may differ materially from those anticipated. Forward-looking statements contained in this news release are expressly qualified by this cautionary statement. The forward-looking statements contained in this news release are made as of the date of this news release and the Company will only update or revise publicly any of the included forward-looking statements as expressly required by Canadian securities law.
To view the source version of this press release, please visit https://www.newsfilecorp.com/release/259120
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