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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

DataQI is an AI-driven data intelligence platform built to support manufacturers in optimizing their production operations. The platform combines computer vision, machine data, and advanced analytics to transform raw factory data into structured, actionable insights. Using continuous visual monitoring and real-time analysis, DataQI can detect quality issues, monitor manual assembly processes, and identify potential risks before they escalate. The system integrates seamlessly with existing infrastructure, including industrial machines, enterprise software, and operational databases. By unifying data from various systems, DataQI provides a comprehensive view of manufacturing performance across production lines, assets, and teams. AI-powered assistants enable employees to interact with operational data through natural language queries, helping them quickly access relevant insights. Engineers and managers can identify root causes of issues by analyzing machine logs, sensor data, and maintenance records in one interface. The platform also automates workflows, generates reports, and highlights performance trends across operations. With secure data management and strong integration capabilities, DataQI supports organizations in adopting AI without major disruption. By turning complex operational data into clear insights, DataQI empowers manufacturers to improve productivity and operational efficiency.

Description

MV2 is a robust and powerful Manufacturing Execution System (MES). It helps manufacturing firms get more out of their existing resources & process at a fraction the cost of adding automation or hiring workers. MV2 MES connects to PLC-level systems and to an existing Microsoft F&O ERP to provide real-time reporting and management of workers and machines across the entire production facility. A software platform that connects, monitors, and coordinates complex manufacturing systems, data flows and people on a shop floor. An MES's main purpose is to coordinate and oversee the execution of manufacturing operations and improve the factory's production output. MES allows shop floor workers to focus on what they do, and not what they read or type.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Infor XA
Microsoft Dynamics 365 Business Central
Microsoft Dynamics 365 Finance
SAP ERP

Integrations

Infor XA
Microsoft Dynamics 365 Business Central
Microsoft Dynamics 365 Finance
SAP ERP

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DataQI

Founded

2009

Country

United Kingdom

Website

www.dataqi.ai

Vendor Details

Company Name

Information Systems Engineering

Founded

1984

Country

United States

Website

ise-erp.com/mv2-mes-sf/

Product Features

Manufacturing

Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quality Management
Quotes/Estimates
Reporting/Analytics
Safety Management
Shipping Management

Product Features

Manufacturing Execution

Document Management
Forecasting
Quality Control
Quote Management
Resource Management
Supplier Management
Supply Chain Management
Traceability

MRP

Bills of Material
Compliance Management
Document Management
Forecasting
Formula Management
Inventory Management
Order Management
Process Manufacturing
Product Configurator
Production Scheduling
Quality Control
Quality Management
Quote Management
Reporting/Analytics
Resource Management
Safety Management
Supplier Management
Supply Chain Management

Production Scheduling

"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control

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