Demo listing. This page uses illustrative seed metadata to demonstrate the Atlas. Claims shown here are not verified product facts.
Provenire
Bill of materials for the data and model inputs that drive supply chain decisions — every labelled dataset, sensor feed and licensed data…
A bill of materials for the data and model inputs that drive supply chain decisions — every labelled dataset, sensor feed and licensed data product carried as a traceable component with its workforce provenance, licence terms and calibration evidence — so that when an input turns out to be…
Last verified 15 Sept 2026 · Updated 23 Sept 2026 · Metadata v3
Problem
Consumer goods and grocery supply chain functions that already buy annotation services and third-party data — shelf-image labelling behind on-shelf availability detection, cold-chain and asset telemetry, licensed point-of-sale, panel and weather feeds into demand planning — starting with the annotation tier, because it carries the highest labour-rights exposure and the least documentation of any supplier the company has.
Outcome
A design-complete foundation in the active pipeline — engineering scaffold planned to complete this month.
Who uses it
- Operations Analyst
- Solution Architect
Key capabilities
Capabilities are defined during customer configuration.
Typical workflow
Primary operating flow
Trigger: An operator starts the primary use case
Task
Stage 1: Capture inputs
Operator
AI-assisted
Stage 2: Assist with draft
System
Human checkpoint
Stage 3: Human approval
Approver
Task Automated AI-assisted Human checkpoint Decision
About this foundation
Recall discipline applied to data. Model registries hold versions and metrics; data catalogues hold schemas and owners; contracts sit in a legal repository. None of them can answer the question a supply chain function will eventually be asked: which plans and dispositions were produced using labels from the subcontractor we just discovered, or under a licence we just breached. Provenire treats a dataset like an ingredient — tier, supplier, workforce, terms, calibration, and a traceable path to every finished decision that consumed it.
Related applications
- Chainwright
Per-order fulfilment path controller for segmented, asset-light supply chains: it activates the specific set of owned and borrowed nodes a…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Driftbound
Certification service for the demand and lead-time distributions that safety stock is derived from: it measures how far the distribution…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Firstdrop
Pre-dispatch triage layer for home delivery that scores every planned stop by the specific way it is likely to fail and issues the…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Frontira
Network-design decision system that gives manufacturer-distributors a priced menu of cost-versus-lateness options — which plants and…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Readygate
Automation investment register for consumer goods supply chains that refuses to gate a candidate through to capital until the process is…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
- Shiftproof
Network of overhead depth sensors that turns supplier gates, shift-transport doors and production-floor entrances into a non-identifying,…
- • Addresses the same problem: Manual Workflow, Fragmented Systems
- • Shared capabilities: Workflow Automation, Document Intelligence
Primary operating flow
Trigger: An operator starts the primary use case
Task
Stage 1: Capture inputs
Operator
AI-assisted
Stage 2: Assist with draft
System
Human checkpoint
Stage 3: Human approval
Approver
Actors
Operator, Approver
Outputs
- Completed work item
Evidence generated
- Audit trail
Exceptions
- Incomplete inputs returned to operator
Task Automated AI-assisted Human checkpoint Decision
Included ships in the foundation · Configurable is switched or tuned per customer · Extension is customer-specific build scope · Planned is on the roadmap and not available today.
Core workflow
AI-assistedPlannedPrimary operating workflow for this foundation.
Document intelligence
AI-assistedPlannedExtract and ground decisions from operating documents.
- Architecture class
- Domain-driven design, OpenAPI-first
- Bounded contexts
- 3
- API-first
- Yes — OpenAPI contracts are authoritative
- Identity
- Enterprise OIDC / SAML via the fazeZERO identity blueprint; tenant-aware role-based access.
- Multi-tenancy
- Tenant-aware
- Service boundaries
- Bounded contexts behind one API server.
- Integration approach
- Ports-and-adapters: every external system sits behind an adapter; OpenAPI contracts for inbound APIs.
- Eventing
- Integration events via transactional outbox.
- Storage abstraction
- Repository interfaces; DynamoDB or relational adapters.
- Deployment pattern
- Containerized API + web application; infrastructure as code per cloud profile.
- Architecture version
- 1.0
Approved domain names
- identity
- catalog
- workflows
- Web Application
- API Server
- Application Services
- Domain / Generated Core
- Adapters
- Customer Systems
Generator source, templates and factory orchestration are proprietary and are not part of this listing.
Reference Adapter: shipped and tested · Previously Integrated: delivered before · Standard API Pattern: integrates via a documented pattern · Customer-Specific: built in your implementation.
APIs
| Integration | Status | Direction | Method |
|---|---|---|---|
| Customer systems of record | Standard API Pattern | bidirectional | REST API |
Deployment
- Deployment models
- Customer Cloud, Private Cloud
- Cloud profiles
- Azure Profile, Cloud-Neutral
- Containerized
- Yes
- Regions
- GLOBAL
Cloud profiles describe approved deployment patterns. They are not formal marketplace certifications.
Data handling
- Stores customer data
- Configurable
- Data leaves customer environment
- Configurable
- Uses external AI provider
- Configurable
- Sends logs externally
- No
- PII expected
- Determined during customer configuration
- Data-residency support
- Yes
- Subprocessors required
- Determined during customer configuration
Identity & access
- Authentication
- OIDC, Entra ID, SAML
- Authorization
- Role-Based, Tenant-Aware
- Source availability
- Proprietary
Support
- Implementation
- Delivered by fazeZERO or a certified partner during the Solution Definition and AI Production Sprints.
- Production support
- Production support available under a separate support agreement.
- Contact
- support@fazezero.com
Badges
fazeZERO Verified
Listing metadata and published technical claims have been reviewed by fazeZERO.
Issued 23 Sept 2026
Evidence shows that this listing represents real engineering. Internal metrics are only published when fazeZERO has approved them for publication.
Build
Automated tests
Deployment validation
- Last verification
- 15 Sept 2026
- Release
- 1.0.0
- Architecture version
- 1.0
- Listing metadata version
- 3
- Last published
- 23 Sept 2026