Railtown AI Technologies, a leader in AI developer tools and agentic frameworks, announced the launch of Railengine, its real-time, event-based ingestion engine, a core component of the Company's end-to-end AI agent development platform. Railengine allows AI agents to ingest and act on streaming data in real time, advancing beyond traditional batch processing to deliver richer, context-aware insights and responses across complex enterprise environments. Combined with Railtown's Railtracks Agent Development Kit (ADK) and Conductr agent observability tool, Railtown has produced a platform that enables developers to build, deploy, and manage intelligent AI agents at scale.

Railengine provides agents instant access to context-rich, searchable enterprise knowledge, enabling developers to launch advanced RAG (Retrieval-Augmented Generation) workflows, automation, and agent runs while leveraging pre-built SaaS Data Connectors for seamless integration, semantic search, and intelligent automation.

The Railtracks ADK offers developers a Python-native framework to design, orchestrate, and deploy autonomous AI agents with prebuilt integrations, execution tracing, and orchestration tools that support real-world, multi-stage agent workflows.

Conductr Railtown's observability tool provides developers and operations teams with end-to-end visibility into agent behaviour, performance metrics, resource utilisation, and reasoning paths, enabling debugging, optimisation, and secure, efficient deployments.

"With this launch, Railtown delivers a complete Agent Development Platform, from real-time data ingestion through agent creation and observability," said Cory Brandolini, CEO of Railtown. "The Platform equips developers with the tools to build agents that act on live data streams while giving teams the insights and controls they need to operate with confidence."