omnia vs sierra

Sierra tests agents on its own platform. Omnia tests them through your real tools, in your cluster.

Omnia runs the tests through your real tools in your own cluster, on the model you choose, and promotes a version on its live metrics. Sierra’s simulations run on Sierra’s platform, and its rollback is a manual step.

A customer asks to change the delivery address on an order that has already shipped.
on omnia

That conversation ran a few hundred times before release, against your order system in a test environment, with simulated customers who changed their minds and pushed back. One run hit the carrier API returning a half-updated order, and the version stopped at the gate. docs

on sierra

Sierra’s release testing simulates conversations against mock APIs. their docs

Tests that hit the real tools

Simulated users drive the agent through its tools, and assertions check the calls it made: that it verified the customer before changing the order, and that it didn’t issue a refund it shouldn’t have. docs

Sierra: Simulations run between agents and mock personas, against mock APIs, and can gate a release from CI. source

Your cluster, your models

Omnia installs into your Kubernetes cluster, so conversations and tool data stay inside your boundary. The agent uses whichever model you choose: Claude, GPT, Gemini, a model on Bedrock or Vertex, or one you host. docs

Sierra: A self-hosted option isn’t documented. Sierra describes its agents as built on a constellation of models it selects. source

Promotion on live numbers

A new version starts on part of the traffic, and Omnia promotes it when its live metrics hold or rolls it back when they drop. Conversations in progress stay on the version they started with. docs enterprise

Sierra: Releases are immutable snapshots with instant rollback and A/B testing. Promotion or rollback on live metrics isn’t documented. source

At a glance

Topic Omnia Sierra, per its docs
Simulated users yes Multi-turn, adversarial included. docs documented Mock personas. source
Simulation against real tools yes Yes, with assertions on what the agent did. docs not documented Against mock APIs. source
Voice testing yes Barge-in, overlapping speech and dead air. docs documented Voice Sims for noise and speaker variation. source
Runs in your infrastructure yes Your Kubernetes cluster. docs not documented Not documented. source
Choose the model yes Any provider, or your own. docs not documented Not documented. source
Metric-gated promotion yes Promotion waits for the numbers; rollback is automatic. docs enterprise partly Instant manual rollback. source
Argument-level tool policy yes A CEL rule on each call’s arguments. docs enterprise partly Tools withheld until the customer is authenticated. source
Production failures become tests yes A failed session becomes a regression scenario. docs enterprise not documented Not documented. source

Common questions

How is Sierra priced?
Sierra describes outcome-based pricing, where you pay when a conversation is resolved, with consumption pricing where it fits. Omnia runs on your infrastructure with no meter: free while you build, the core free in production, and an enterprise licencelicense per environment per year from £30,000.
Is Omnia only for customer service?
No. It runs conversational agents, voice agents, and functions with typed input and output, on a schedule if you like.

Put your own agent through the gate.

Install Omnia in your cluster and run it free while you build.

Sierra claims are from Sierra’s published documentation, checked 22 October 2026. Spot something out of date? Tell us.