Kortix vs Relevance AI
A side-by-side comparison of Kortix and Relevance AI, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Relevance AI
AutomationBuild and manage a workforce of AI agents for business processes.
View Relevance AIAt a glance
| Attribute | Kortix | Relevance AI |
|---|---|---|
| Category (differs) | Agent | Automation |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms (differs) | Web | Web, API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Kortix | Relevance AI |
The honest brief
Kortix
Treats agents like software — version-controlled, sandboxed, and shippable self-hosted or air-gapped with no vendor lock-in.
- One-command self-host plus managed cloud
- Agents commit via git branches and PRs
- On-prem deployment for regulated infra
- Bring your own model provider
- Self-hosting requires infra and LLM keys
- Enterprise agent-as-code model has a learning curve
- Managed cloud is seat plus usage priced
Relevance AI
Prices on 'actions' with unlimited agents on every tier, so cost tracks work done rather than per-agent headcount.
- Unlimited agents on all tiers
- No-code multi-agent 'workforce' builder
- BYO-LLM on paid plans
- Library of tools and triggers
- Action-based billing can be opaque
- Cloud-only, no self-host
- Governance depth still maturing