Manage your integrations

Flows provide unprecedented control over multi-step AI processes with validation between steps, ensuring consistent quality. You can choose different models for each step, implement branching logic, and easily debug when issues arise.

The honest answer: you test it against real work. No recommendation — from a platform, a benchmark, or a vendor — is a substitute for seeing how a model performs on your actual tasks.

Yes, all agents in the elvex Agent Library can be customized to fit your specific workflows, data, and business requirements. You can use them as-is for immediate deployment or modify them using elvex's natural-language building interface. Customization options include connecting your own data sources, adjusting business logic, integrating with your existing tools and systems, and tailoring outputs to match your organization's needs. The platform is designed for business users, so no coding skills or technical expertise are required to customize agents.

Yes — and on elvex, switching models is a configuration change, not a migration project.

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Because elvex is model-agnostic, your agents, workflows, and data connections aren't built on top of any single AI model. They're built on elvex. The model is just the engine running underneath — and you can swap it without touching anything else.

Every organization that deploys enterprise AI ends up with the same informal structure: a handful of people who figured it out and became the go-to resource for everyone else. That works at small scale. It doesn't scale.

Yes — and this is one of the things that separates elvex from most enterprise AI platforms, where building anything meaningful still requires a developer.