---
title: "Platform — Connected Sustainability Data & Workflows | gCurv"
description: "One platform unifying sustainability data, workflows, and services — from emissions and packaging to supplier disclosures and executive reporting."
lang: en
json-ld:
---

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Platform overview 

# One platform for sustainability data, decisions, and delivery.

Built to connect operational sustainability work across carbon accounting, ESG performance, packaging decision support, and supplier sustainability. It gives teams one structure for collecting data, validating inputs, analyzing risk, and moving toward action.

Unified data layer 

### Bring sustainability data into one system.

Manage emissions inputs, packaging specifications, supplier disclosures, and performance KPIs without fragmenting work across disconnected files.

Workflow engine 

### Standardize collection, review, and approvals.

Build repeatable processes for data requests, QA, reporting cycles, evidence capture, and cross-functional signoff.

Services layer 

### Pair software with implementation support.

Use expert services for onboarding, supplier outreach, packaging advisory, reporting support, and program management.

How it works 

## A connected workflow from collection to action.

1.  01 
    
    #### Collect
    
    Sites, suppliers, products, and packaging
    
2.  02 
    
    #### Validate
    
    QA logic, factor mapping, and workflow controls
    
3.  03 
    
    #### Analyze
    
    Dashboards, hotspots, risk views, and scorecards
    
4.  04 
    
    #### Act
    
    Reporting, redesign, supplier action, and roadmaps
    

AI in gCurv 

## Where AI shows up in gCurv.

AI is embedded inside the workflows analysts already run — not bolted on as a separate product. Every model output is reviewable, traceable, and overridable, so the team stays accountable for what gets reported.

### Automated emission factor matching

Suggests the closest factor for each spend or activity line, with confidence scores and a human-in-the-loop review queue so analysts approve every assignment that matters.

### Anomaly detection on emissions data

Flags outliers, duplicate entries, and unit-of-measure mistakes before they reach a reporting cycle — protecting the inventory from the kind of errors auditors find first.

### Supplier response classification

Reads supplier disclosures and PCF responses, normalizes them to your schema, and routes follow-up requests automatically based on data quality and category materiality.

### Reporting copilots

Drafts CSRD/ESRS narrative sections and customer ESG questionnaire answers from your underlying platform data, with citations back to source so reviewers can verify every claim.

Industries 

## Built for teams dealing with product, packaging, and supply chain complexity.

The strongest fit is with organizations where sustainability work is operationally complex, packaging-heavy, supplier-dependent, and under increasing reporting pressure.

### Beauty and personal care

Portfolios with packaging variation, material complexity, and brand pressure around claims, recyclability, and redesign.

### Food and beverage

Teams balancing packaging performance, sourcing visibility, reporting needs, and product-level operational tradeoffs.

### Consumer packaged goods

Businesses with multiple suppliers, broad assortments, and the need for scalable sustainability workflows.

### Industrial and manufacturing

Organizations managing site data, supplier requests, operational KPIs, and enterprise sustainability reporting.

[Explore products](/products)[Book demo](/contact)

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A full live website with homepage, platform narrative, product modules, services, pricing, and an editorial blog.

[Email our team](/contact)

### Platform

-   [Overview](/platform)
-   [Products](/products)
-   [Pricing](/pricing)

### Solutions

-   [Services](/services)
-   [Industries](/platform)
-   [Blog](/blog)

### Company

-   [About us](/about)
-   [Contact us](/contact)

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