AI-built workflows from your specs, with ops-grade control.
Quick automations break the moment a field changes.
Custom code is powerful, but too slow and too hard to own for small workflows.
How it works
Describe what should happen.
We clarify inputs, outputs, and edge cases until the workflow is unambiguous.We build and host it.
You get a simple URL your product, automations, or dashboards can use, plus logs so you can see what ran.Change it safely over time.
Every update is tracked. When something fails, you can trace what happened and fix it fast.
Let your agent build its own tools.
Teach once. Call reliably.
It is costly and brittle to have an agent re-learn your domain on every run. Monifold lets you teach it once: write the spec yourself, or let the agent write it; ship a hosted, contract-checked tool that does exactly what you want; then call it reliably every time with traces and version history you can audit.
Why teams choose Monifold
Runs unattended
Built-in checks, retries, and monitoring keep workflows stable as tools and requirements change.Plain-language definition
Describe what you want. We turn it into a predictable workflow without handoffs or mystery code.Visible and debuggable
See inputs, outputs, and a clear change history so you can iterate without breaking things.FAQ
Where does Monifold run?
Core infrastructure is hosted in Finland, and (when used) AI inference also runs in Finland.That gives you European data residency and predictable operations without stitching together your own stack.
How do you keep workflows from breaking when things change?
We define what goes in and what must come out, and we validate each run against that.When requirements change, you update the spec and iterate with a clear history instead of patching mystery code.