JoinFolki Documentation
Platform architecture, data lifecycle, governance model, integration surfaces, and security — for catalogs with 5,000+ SKUs.
Platform Overview
What Folki Is
Core Capabilities
- Import of unstructured supplier data
- Category-aware modeling
- Controlled AI enrichment
- Human validation workflows
- Attribute-level traceability
- Structured export to downstream systems
Built For
- 5,000–100,000+ SKU catalogs
- B2B spec-heavy suppliers
- Furniture & appliance manufacturers
- Apparel brands with structured taxonomies
- Product Data / PIM teams
Folki is not a copy generator. It is a governed enrichment and validation layer for large catalogs.
System Architecture
Architectural Overview
Data Flow
AI enrichment never bypasses validation workflows.
Data Lifecycle
From Import to Publish
Stage 1 — Import
Data enters via supported ingestion channels. Normalized and categorized automatically.
Stage 2 — Model
Category schemas are applied. Attribute rules enforced. Required fields defined.
Stage 3 — Enrich
AI proposes structured attribute values, normalized formats, and missing specs. All remain in review state.
Stage 4 — Review
Human reviewers validate AI outputs, adjust values, lock sensitive fields, and approve controlled updates.
Guardrails & Governance
Trust & Control
Source traceability
Each enriched attribute may include source reference, extraction origin, and confidence indicator.
Confidence scoring
Based on source reliability, model match strength, historical validation accuracy, and structured rule compliance.
Role-based access control
Viewer, Reviewer, Editor, Admin. Restrict field editing, approval rights, export access, and model modification.
Attribute Operations
How Operations Are Defined
An attribute operation includes:
- AI extraction of a structured field
- Validation pass on an attribute
- Creation or update of a product attribute
- Controlled normalization of structured data
Pricing is based on structured operations — not tokens or word counts. Each tier includes defined annual limits with transparent overage logic.
Integration Surfaces
Connect to Your Stack
PIM Systems
- Batch exports
- Schema alignment
- Field mapping support
ERP Systems
- Structured import compatibility
- Normalized feed generation
Security & Compliance
Enterprise-Grade Security
Data Storage
Secure cloud infrastructure with controlled access environment.
Encryption
Data encrypted in transit and at rest.
Access Controls
Role-based access enforcement with audit logging of all changes.
Industry Use Cases
Built for Complexity
B2B Spec-Heavy Suppliers
High attribute density, PDF-based specifications, multi-category complexity.
Furniture & Appliances
Structured dimension fields, compliance requirements, variant complexity.
FAQ
Frequently Asked Questions
How does Folki ensure AI accuracy?
Through modeling constraints, validation workflows, and confidence scoring.
Can AI modify sensitive fields?
No. Fields can be locked or restricted by role.
Can we define custom category schemas?
Yes. Modeling supports category-specific attribute logic.
Can we export audit logs?
Getting Started
Onboarding
- 1Initial catalog assessment
- 2Schema modeling workshop
- 3Import configuration
- 4Workflow setup
- 5Controlled enrichment rollout
Enterprise onboarding support available for Scale and Enterprise tiers.
Enterprise Guides
Deep Dives
Long-form guides on AI governance, catalog architecture, and the economics of product data enrichment.
Need enterprise architecture support?
For enterprise architecture discussions, security documentation, or integration planning — reach out directly to our team.
Book a Demoenterprise@joinfolki.com