Enterprise Account Plan
Securing the "Super Agent" supply chain. Layering immutable ModelKit provenance into Walmart's Element platform for secure, edge-optimized ML deployment at 10,500+ locations.
Key Metric
7.2x
Faster Deployment Velocity
Why Walmart needs Jozu to scale their "Element" platform.
As Walmart shifts to Agentic AI (Sparky, Marty), "Element" handles orchestration but lacks an immutable registry. Models are being passed as loose files, creating security and versioning chaos at the Edge.
Jozu packages models, datasets, and configs into OCI-compliant ModelKits. This allows Walmart's DevOps teams to treat AI exactly like Docker containers—secure, signed, and auditable.
By automating EU AI Act compliance and NIST RMF through cryptographic signatures, Jozu enables Walmart to fulfill Doug McMillon's mandate: being the "world's most trusted retailer."
Demonstrate how standardizing the ML Supply Chain reduces time-to-production for "Super Agents" across Walmart's multi-cloud environment.
Standard Cycle
21 Days
Jozu ModelKits
3 Days
Tailored hooks for Walmart's AI Buying Committee.
The Pain
How do we guarantee a "Super Agent" isn't poisoned before it's deployed to 10k stores?
Discovery Question
"How are you verifying the cryptographic integrity of model weights between your cloud and your private edge data centers?"
"Jozu isn't another scanner. It's the Private Ledger for your ML Supply Chain. Every Super Agent is tagged with an immutable SBOM before it touches a store server."
The Pain
Model Sprawl. Data Scientists send folders, we need containers. Standardizing "Element" workflows.
Discovery Question
"When your Data Scientists hand off a model, are they giving you a standardized artifact, or a manual list of dependencies and YAML files?"
"A ModelKit is like a Docker container for AI. It bundles weights and code into a single, OCI-compliant object that your existing pipelines already know how to handle."
The Pain
Models sitting in 'Lab Purgatory.' Blocked by DevOps security hurdles. Inability to reproduce results at the Edge.
Discovery Question
"How often are your models failing at the edge because of environment drift or missing config files during the hand-off?"
"Get your models out of the lab 7x faster. Jozu ensures what you built in the sandbox is exactly what runs in the store, every time."
Tactical pivots for the Walmart technical review board.
"We've spent millions building our own MLOps platform (Element)."
"Element is a world-class orchestrator. Jozu isn't a replacement; it’s the Secure Registry that sits under it. We are the 'Private Docker Hub' for AI that makes Element's output secure and compliant."
"We have a massive partnership with Azure ML."
"Azure is perfect for the cloud, but Walmart is a Hybrid/Edge company. Jozu provides the single, unified ModelKit registry that works identically in Azure and on your private store servers."
"Our legal/compliance teams are already tracking the EU AI Act."
"Legal defines the rules; Jozu enforces them. We automatically generate the cryptographic provenance required so your engineers don't have to spend weeks documenting every model tweak."
Persona-targeted templates ready for execution.
Subject: Integrity of the Super Agent supply chain at Walmart
Subject: Solving "Model Sprawl" in the Walmart AI Foundry