Enterprise OMS shipped at scale.
The team has shipped order capture, sourcing, allocation, fulfillment orchestration, and returns at multi-billion-dollar volume across retail, marketplaces, and B2B. Those patterns inform KarmanFlow today.
Customers
Proof paths your team can verify.
Evaluate KarmanFlow through the team history, the working product surface, and a guided preview workspace that produces receipts your operators can inspect directly.
What you can lean on now
Decades of enterprise OMS and inventory experience.
KarmanFlow is built by a team that has spent years inside the problem space, designing, shipping, and operating order management, inventory truth, and channel publication at the scale where outages cost real money. We use that experience to shape the preview proof path before your team commits.
Inventory truth in production.
The team has operated real-time availability, reservations, multi-location math, oversell policy, and channel publication across large SKU and location footprints. KarmanFlow's own public load numbers will publish when measured.
Connectors that survive load.
Storefront, marketplace, 3PL, carrier, and payment integrations built and operated under real production traffic, with the retry, replay, dead-letter, and freshness budgets the work actually requires.
Operator-grade UX, not demo-grade.
Operator consoles built for warehouse leads, customer service teams, marketplace managers, and finance — where every action has to be auditable, reversible, and explainable to a regulator.
Proof available today
What you can verify before customer stories publish.
Public proof should be honest. These paths let your team inspect the product, trust posture, and agent model directly, without waiting for a signed reference.
Guided console walkthrough.
See the operating surface with seeded sample data before your preview workspace is set up.
Open walkthroughReceipt-first proof.
Run a governed action and inspect the actor, decision, event, and receipt with our team.
Request early previewSecurity posture.
Review schema-level tenant isolation, approval boundaries, append-only receipts, and the conformance test suite.
Read securityAgent-ready proof.
See how agents propose actions through the same policy and approval boundary as humans.
Open agentsStrongest fit
Three signals that this is built for you.
We are deliberately narrow in the first wave. If your operation matches the patterns below, the first 15 minutes will feel like we built KarmanFlow after sitting in your Monday standup.
You run multiple stores plus at least one marketplace and the availability story does not survive a launch.
Order, hold, fulfillment, return, and refund stories live in different systems and your customer service team stitches them by hand.
You want to use AI agents in operations but cannot give a model a write path without a real approval boundary.
Be one of the first
Bring us the workflow that burns time every week.
If your team runs multiple stores, at least one marketplace, and recurring availability or order-status fire drills, this is built for you. The team behind it has run that operation before.