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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Partsgraph.ai is the agent-ready parts data layer. It ingests your datasheets, parametrics, CAD and compliance documents into one canonical Parts Graph™, then serves it to AI agents over a hosted MCP endpoint, agent-readable pages and shopping feeds — so assistants specify your parts from your data, not from scrapes and guesswork.

Description

Qliktag is a product digitalization platform that helps companies connect physical goods with secure digital identities and interactive digital experiences. Each item can be assigned a unique digital twin or token and linked to the physical product using secure NFC technology. The platform supports both on-chain and off-chain tokenization, allowing organizations to create digital representations of individual products without committing every use case to blockchain infrastructure. Secure NFC tags can be embedded into products and encoded with unique digital links generated through the Qliktag platform. Customers can tap these tags to verify authenticity, access product information, confirm ownership, or unlock exclusive digital content and experiences. Qliktag also supports digital product passports, track-and-trace applications, repair and service histories, ownership records, sustainability information, and circular economy workflows. Brands can pair products with NFTs or smart contracts to enable features such as royalties, digital ownership transfers, warranties, memberships, and gated access. A drag-and-drop interaction designer gives teams a way to build and customize the digital experiences associated with each physical item. Qliktag is suited to luxury goods, fashion, art, collectibles, sports memorabilia, merchandise, and other products where authenticity, uniqueness, provenance, and consumer engagement can add value.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Akeneo PIM No 
Google Cloud IoT No 
Model Context Protocol (MCP) Yes 
Oracle Fusion Cloud ERP No 
SAP Business One No 
SAP BusinessObjects Business Intelligence No 
Salsify No 
Tech Cloud ERP No 

Integrations

Akeneo PIM Yes 
Google Cloud IoT Yes 
Model Context Protocol (MCP) No 
Oracle Fusion Cloud ERP Yes 
SAP Business One Yes 
SAP BusinessObjects Business Intelligence Yes 
Salsify Yes 
Tech Cloud ERP Yes 

Pricing Details

£400 / month
Free grader. Starter £400/month. Pro £2,500/month + £10,000 implementation. Scale custom-quoted.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Partsgraph.ai

Founded

2022

Country

Liverpool, United Kingdom

Website

partsgraph.ai

Vendor Details

Company Name

Qliktag Software Inc.

Founded

2012

Country

United States

Website

www.qliktag.com

Product Features

PIM

Partsgraph.ai acts as an agent-optimized repository for parts information. It consolidates your datasheets, parametric data, CAD files, and compliance documents into a unified Parts Graph™. This data is then made accessible to AI agents through a managed MCP endpoint, user-friendly agent-readable pages, and shopping feeds, ensuring that assistants accurately identify your parts based on reliable data rather than relying on scraping or assumptions.

Content Syndication Yes 
Data Modeling Yes 
Data Quality Control Yes 
Digital Asset Management No 
Documentation Management No 
Master Record Management Yes 
Version Control No 

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

NFT

PIM

Content Syndication No 
Data Modeling No 
Data Quality Control No 
Digital Asset Management No 
Documentation Management No 
Master Record Management No 
Version Control No 

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