THE CORE

Data collection is the reactor core.

Everything the platform delivers starts with one thing done well: getting reliable data out of your supply chain, whatever the source, the format or the supplier's maturity.

Guided forms

A simple web interface any supplier can use without training, in their language.

Guided forms

A simple web interface any supplier can use without training, in their language.

Smart document intake

Certificates and documents parsed and mapped to your data model, bulk CSV and JSON import.

Smart document intake

Certificates and documents parsed and mapped to your data model, bulk CSV and JSON import.

API & system connectors

REST API and connectors to SAP, Oracle, PLM and WMS. Real-time ingestion, no manual entry.

API & system connectors

REST API and connectors to SAP, Oracle, PLM and WMS. Real-time ingestion, no manual entry.

AI & MCP connectors

AI-assisted extraction on heterogeneous data, and MCP connectors to plug Crystalchain into your AI workflows.

AI & MCP connectors

AI-assisted extraction on heterogeneous data, and MCP connectors to plug Crystalchain into your AI workflows.

THEN, WE MAKE IT SOLID

Quality is not optional.

Collected data is only useful if it is right. Before anything is generated, the platform verifies it.

Consistency checks

Automated controls analyze the data, flag anomalies, detect duplicates and identify what is missing.

Consistency checks

Automated controls analyze the data, flag anomalies, detect duplicates and identify what is missing.

Quality scoring

A data quality score per indicator, so you always know how solid each figure is.

Quality scoring

A data quality score per indicator, so you always know how solid each figure is.

Structuring & harmonization

Parsing, mapping and harmonization to your model, with every parameter traceable to its source.

Structuring & harmonization

Parsing, mapping and harmonization to your model, with every parameter traceable to its source.

Then we turn it into value

One dataset, many outcomes.

Compliance is one output among others. The same data serves your score, your brand, your risk management and your carbon strategy.

Regulatory compliance

AGEC sheets, environmental labeling scores and DPP generated from the same base.

Regulatory compliance

AGEC sheets, environmental labeling scores and DPP generated from the same base.

Carbon & dMRV

Sequestration monitoring, LCA and registry-ready reporting for carbon projects.

Carbon & dMRV

Sequestration monitoring, LCA and registry-ready reporting for carbon projects.

Product recall

Trace up and down instantly to isolate affected lots and act in minutes.

Product recall

Trace up and down instantly to isolate affected lots and act in minutes.

Yield & operations analytics

Stock, flow and yield dashboards per supply chain, KPIs by profile.

Yield & operations analytics

Stock, flow and yield dashboards per supply chain, KPIs by profile.

Supplier risk & sourcing

Network-level risk analysis and sourcing intelligence on real supplier data.

Supplier risk & sourcing

Network-level risk analysis and sourcing intelligence on real supplier data.

Brand protection

Provable origin claims and anti-fraud evidence, backed by the audit trail.

Brand protection

Provable origin claims and anti-fraud evidence, backed by the audit trail.

The cockpit

Pilot every supply chain from one place.

A unified view of suppliers, completeness, anomalies and ready outputs across your chains.

Whoever you are

Three directors, three questions, one platform.

Luxury maison

"Can I pilot all my supply chains, simply?"

Leather, silk, cashmere, cotton: each chain has its own actors and its own language. You need one cockpit, not five tools.

Yes. Multi-chain cockpit, lot-level custody where it counts, and a data model built over ten years with luxury houses.

Luxury maison

"Can I pilot all my supply chains, simply?"

Leather, silk, cashmere, cotton: each chain has its own actors and its own language. You need one cockpit, not five tools.

Yes. Multi-chain cockpit, lot-level custody where it counts, and a data model built over ten years with luxury houses.

Global food group

"Can you plug into my systems to trace cocoa?"

Your suppliers run SAP, Oracle or spreadsheets. Collection has to adapt to them, not the other way round.

Yes. API and system connectors, guided forms in the supplier's language, and campaigns aligned with harvest and production cycles.

Global food group

"Can you plug into my systems to trace cocoa?"

Your suppliers run SAP, Oracle or spreadsheets. Collection has to adapt to them, not the other way round.

Yes. API and system connectors, guided forms in the supplier's language, and campaigns aligned with harvest and production cycles.

Global apparel brand

"Can you get me the data for forced-labor due diligence?"

Regulations like the UFLPA demand proof deep in the chain, from suppliers you have never met.

Yes. Tier-1 campaigns that cascade: each supplier declares its own rank 2 to n, with document collection and consistency checks at every level.

Global apparel brand

"Can you get me the data for forced-labor due diligence?"

Regulations like the UFLPA demand proof deep in the chain, from suppliers you have never met.

Yes. Tier-1 campaigns that cascade: each supplier declares its own rank 2 to n, with document collection and consistency checks at every level.

Trace, lot level

Every lot back to its origin.

For the most demanding use cases, the platform goes down to the production order. For leather that means past tier 1, to the tannery, the slaughterhouse and the farm, with a custody chain and proofs attached at each step.

Why it scales

Adding a use case is not a new project.

The data is already there, structured. The next output, regulation or analysis switches on, it does not start over.

One layer, not silos

All use cases read and write the same structured data, on your model.

One layer, not silos

All use cases read and write the same structured data, on your model.

Go-live in weeks

We start from your systems and a proven data model, not a greenfield.

Go-live in weeks

We start from your systems and a proven data model, not a greenfield.

Ready for the next one

The next regulation or use case reuses the same collection.

Ready for the next one

The next regulation or use case reuses the same collection.

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See it on your supply chains.

A 20-minute demo, on your chains and your use cases.






Crystalchain