What is CODENO?

CODENO is a modular Manufacturing Operations Management (MOM) platform that brings production planning, shop floor execution, quality, inventory, and product data together. It gives manufacturers real-time visibility into factory operations and helps teams work from consistent information.

CODENO MES supports work order execution, machine monitoring, downtime tracking, material traceability, and production reporting. APS helps teams create and adjust schedules as priorities and capacity change. WMS tracks stock, storage locations, and material movements. QMS supports inspections and nonconformity management, while PLM organizes product specifications, bills of materials, documents, and revisions.

The platform integrates with ERP systems and industrial equipment to connect business plans with actual production activity. Manufacturers can implement the modules they need first and expand the solution over time. CODENO’s no-code tools also support configurable applications, workflows, and dashboards.

Integrations

Offers API?:
Yes, CODENO provides an API
No integrations listed.

Screenshots and Video

CODENO MOM: Plan, execute, monitor, and improve manufacturing operations in one connected platform.

CODENO MOM: Plan, execute, monitor, and improve manufacturing operations in one connected platform.

Company Facts

Company Name:
Zynk Software
Date Founded:
2010
Company Location:
Romania
Company Website:
codeno.ai/
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Product Details

Deployment
SaaS
Chromebook
Training Options
Documentation Hub
Online Training
On-Site Training
Support
Standard Support
24 Hour Support
Web-Based Support

Product Details

Target Company Sizes
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Enterprise
Government
Supported Languages
English
German
Romanian

CODENO Categories and Features

No-Code Development Platform

AI-Assisted Development
Business Process Automation
Data Aggregation and Publishing
Drag & Drop
Visual Modeling

IoT Software

Application Development
Big Data Analytics
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Visualization

Artificial Intelligence Software

Machine Learning
Multi-Language
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation