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What is MontBlancAI?

MontBlancAI acts as the essential intelligence hub for process manufacturers, seamlessly integrating and standardizing data from a variety of sources, including sensors, PLCs, SCADA, MES, and ERP, into a unified operational framework that eliminates data silos. By employing AI-powered real-time anomaly detection, it identifies deviations that surpass traditional thresholds, generates actionable insights through intuitive dashboards and root-cause analysis, and provides recommendations for predictive maintenance and ongoing improvements. This unified data layer effectively cleans and organizes vast streams of process information, enabling teams to enhance production capacity, reduce operational costs, sustain quality consistency, and address labor shortages by uncovering underused capacity and validating critical cycles. Accessible through a web interface and APIs, MontBlancAI serves as a digital mirror of your manufacturing environment, fostering collaboration and data-driven decision-making across plant operations. Furthermore, its capacity to adapt and learn from new data continuously empowers organizations to remain proactive in the face of evolving industry trends and challenges, making it an invaluable tool for modern manufacturing. By harnessing these capabilities, companies can achieve greater efficiency and innovation in their processes.

What is LotusEye?

LotusEye provides a cloud-based solution for detecting anomalies through AI, automatically learning typical behavior from numerical or sensor data uploaded in CSV format, while continuously generating anomaly scores to pinpoint irregularities that may indicate faults or unexpected events, all without requiring users to possess machine learning knowledge. The platform supports both wide-format CSV files, where each row represents sensor readings at distinct timestamps, and long-format CSV files that contain columns for timestamps, sensor names, and values. Users can easily upload their data using an intuitive drag-and-drop interface or through an API that facilitates automated processing on a predetermined schedule. After training an AI model with data from standard operations, users can submit test data to receive calculated anomaly scores and visualize the outcomes on dashboards equipped with time-series charts, threshold indicators, and filtering capabilities. This functionality aids teams in quickly recognizing unusual patterns and investigating potential issues, ultimately boosting operational efficiency. By transforming raw data into actionable insights, the platform empowers organizations to make informed decisions based on real-time analytics.

Media

Media

Integrations Supported

Google Sheets
Microsoft Excel
CX-Programmer
ControlLogix SIL 2
EcoStruxure Machine Expert
Modbus RTU
MySQL
PCBflow
Plex Manufacturing Execution System (MES)
PostgreSQL
SQL
SQL Server

Integrations Supported

Google Sheets
Microsoft Excel
CX-Programmer
ControlLogix SIL 2
EcoStruxure Machine Expert
Modbus RTU
MySQL
PCBflow
Plex Manufacturing Execution System (MES)
PostgreSQL
SQL
SQL Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$13 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MontBlancAI

Date Founded

2022

Company Location

United States

Company Website

www.montblanc.ai/

Company Facts

Organization Name

LotusEye

Company Location

Japan

Company Website

lotuseye.co.jp/

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Categories and Features

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