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YOURAGENTS
DRIFT.
YOUR
CUSTOMERS
FIND OUT FIRST.

Not “returning 200s.” Not “completing in under 500ms.” Are they following your refund policy? Making the right decisions? Model observability tells you what happened at the technical layer. Nobody tells you what happened at the business layer.

Book a 20-Min Conversation

The layer that's missing

What exists today
What doesn't
Model latency & tokens
Business process compliance
Trace logs for engineers
Audit trails for compliance teams
"Did it run?"
"Did it do the right thing?"
Hallucination detection
Policy adherence monitoring
Dashboard for DevOps
Dashboard for the business
Generic compliance checklists
Regulatory proof your agent followed policy

We're building that layer.

We're early. These are the questions we're obsessed with.

01

How do you define “correct” for an agent that makes thousands of decisions a day?

02

When agent behavior drifts, who finds out first — your team or your customers?

03

What does an audit trail for AI agent decisions actually need to look like?

04

Can you prove to a regulator that your agent followed policy last Tuesday?

If these questions keep you up at night, we should talk.

Built by people in the space

We host the Agentic Operations podcast, where we talk to engineering leaders deploying agents in production. We're not theorizing about this problem—we're learning from the people living it.

Kai Herrera

Co-Founder

Kael Oosterbaan

Co-Founder

Running agents in production?

We're looking for 10 design partners—teams with agents in production who feel this gap. Not selling anything yet. Just learning and building together.

Book a Conversation

20 min, no pitch, just questions.

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