VantisVantis
Reliability infrastructure for automation.
Build, monitor, and understand your workflows before failures become incidents.
Order fulfillment
One source of truth for workflow health.
See what is running, what is slowing down, and where reliability is trending across your entire automation stack.
Live reliability monitor
Workflow operations
Know exactly where a workflow went wrong.
Vantis puts execution history, timing, dependencies, and failures on one timeline — so an incident is something you can investigate, not guess at.
Connection pool exhausted after warehouse deployment.
Failure details
Needs attentionerror: TimeoutError step: sync_customer_to_warehouse duration: 30.04s · retry: 2/3 Suggested: inspect warehouse connection pool
Make the invisible failure visible.
Inspect the execution, step-level logs, and failure context without jumping between five different tools.
Where automations get hard to trust.
Vantis sits between your automation platform and your production systems — watching every execution, detecting drift, and giving your team the context to fix what changed.
Inventory sync latency is 14× above baseline. The increase started 18 minutes after the latest warehouse deployment.
Inspect executionOne reliability layer
for every workflow.
Build workflows in Vantis or connect the systems you already use. Either way, every execution flows into the same reliability layer — with one place to monitor, detect, investigate, and resolve what changes.
One incident. The whole story.
Vantis connects the scattered pieces of a workflow failure into one investigation path.
Checkout reliability drops
Vantis detects a change in execution behavior instead of waiting for a user report.
Inventory sync breaks baseline
Latency jumps from 590ms to 8.4s across the affected workflow runs.
Deployment change is correlated
The spike begins 18 minutes after a warehouse-service deployment.
Evidence becomes an action
The incident handoff contains affected runs, dependency context, and next steps — ready for your team to act on.
Less time hunting.
More time fixing.
Reliability becomes something your team can operate, not something they discover after the workflow has already failed.
Traceable from trigger to final action.
Compared with what normal looks like.
Connected to its dependencies and context.
Ready for an engineering handoff.
Fits into the stack you already run.
Connect your existing workflows and operational systems without rebuilding your stack. Start with the integrations Vantis supports today, or connect anything through webhooks and HTTP APIs.
Build the workflow.
Then make it reliable.
Design triggers, conditions, actions, and notifications visually. Test the path before production and keep every execution observable from day one.
Build with context.
Fix with intelligence.
Use the visual builder for the workflow itself, then ask Vantis to investigate incidents, compare executions, and prepare the next operational steps.
Built for production workflows.
Security and reliability are part of the foundation, not an add-on.
Secure by default
Least-privilege access, encrypted connections, and controlled credentials keep workflow data protected.
Operational visibility
Every execution is traceable with the context teams need to understand failures and changes.
Designed for control
Clear ownership, auditable activity, and predictable access patterns make reliability easier to manage.
Frequently asked.
Vantis is reliability infrastructure for automation — helping teams build, monitor, detect abnormal behavior, and investigate workflow failures.
No — Vantis can build workflows itself, and it can also connect to workflows you already run through supported integrations, webhooks, and HTTP APIs.
Start by building a workflow in Vantis, or send execution events from an existing system through a webhook or HTTP API.
Yes. Vantis supports webhooks and HTTP APIs, with Slack available for operational notifications.
Build every workflow.
Trust every run.
Build from scratch or connect what you already have. Vantis gives every workflow the execution visibility and reliability context it needs to run in production.