ETLR is an AI workflow automation platform built around a workflows-as-code philosophy, allowing teams to define, manage, and deploy workflows using clean, human-readable YAML. Instead of relying on complex user interfaces or manual setup, ETLR keeps everything code-driven, making workflows easy to version, review, and maintain over time.

With built-in version control, every change to a workflow is automatically tracked, enabling smooth rollbacks and confident iteration. Deploying a workflow takes just a single command, removing the usual friction of infrastructure configuration and letting developers focus on logic rather than setup.

ETLR integrates effortlessly with tools like OpenAI, AWS, Slack, Python, and many others, making it flexible enough to fit into existing stacks. It provides deep visibility into execution through real-time metrics, structured logs, and step-by-step execution traces, so you always know what’s happening and why.

Python transforms are supported natively, eliminating the need for external scripts, while robust error tracking makes debugging faster and more intuitive. For enterprise teams, ETLR offers dedicated support and SLA guarantees, ensuring reliability at scale. Pricing is simple and transparent with a credit-based model one credit equals one workflow run—so costs remain predictable as usage grows.

$27