About OpX

OpX is building the memory infrastructure for AI-native operations.

Every system knows something. No system understands the situation. OpX connects fragmented facts across systems and through time so people, workflows, and authorized AI can act from the same governed truth.

Operating memory infrastructure Built in Chicago

Why OpX exists

Execution is becoming abundant. Situational awareness is not.

Every company depends on institutional memory: the patterns experienced operators recognize, the decisions made when facts collide across systems, and the outcomes that shape what the company does next.

Today, most of that memory lives in people's heads or is fragmented across CRM, project, support, finance, people, and communication systems.

Every system knows something. No system understands the situation.

The operating situation

From fragmented facts to one governed view of what matters now.

OpX reconstructs operating state through time and recognizes when facts across the customer journey become material together.

  1. 01What changedEvidence through time
  2. 02Why it mattersBusiness consequence
  3. 03What should happenRecommended response
  4. 04What is permittedAuthority boundary
  5. 05What happened nextMeasured outcome

One operating truth The deal, the delivery, the relationship, the renewal, and the people carrying every stage become one governed view.

The vision

Agent memory remembers the task. Operating memory remembers the operation.

People, existing workflows, and authorized AI systems can all act from the same governed truth.

Every situation, decision, action, and outcome becomes operating memory the next decision can use.

People Existing workflows Authorized AI
See how the platform works

What we believe

The operation should remember what it learned.

Operating memory should be durable enough to compound, bounded enough to trust, and useful enough to change the next decision.

01

Preserve source truth.

OpX reconstructs operating state without rewriting the systems that own it.

02

Make judgment reproducible.

Deterministic evaluation keeps each situation evidence-backed, explainable, and auditable.

03

Keep authority explicit.

Humans retain authority over consequential decisions while workflows and AI operate within defined boundaries.

04

Begin with consequence.

Start with one operating question, prove one measurable outcome, and expand across the same operating graph.

Built from the work

I was the manual version of this system.

For most of my career, I was the person connecting facts across sales, delivery, Customer Success, finance, and product so leadership could understand what was actually happening and decide what to do.

For ten years, I kept thinking software should be able to do this. So I built it.

Design partnerships

One operating question is enough to begin.

Bring the question your systems cannot answer together. We connect only the data required, define one measurable outcome, and build from what OpX finds.