HelixML is an infrastructure platform for running AI agents and applications entirely on your own stack. It provides the tooling needed to deploy, orchestrate, and manage intelligent agents while maintaining full control over data, models, and runtime environments. The primary purpose of HelixML is to eliminate vendor lock-in and ensure data sovereignty for organizations adopting AI at scale.
The platform supports integration with multiple open-source and proprietary models, allowing teams to choose or swap models without changing their application code. It offers agent orchestration, workflow management, and monitoring capabilities so you can design multi-step, tool-using agents that interact with internal systems, APIs, and databases. HelixML can be deployed on-premises or in your private cloud, with configurable security, access control, and compliance options aligned to enterprise standards. Its APIs and SDKs are designed to integrate into existing engineering workflows, CI/CD pipelines, and observability stacks.
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