Ferry provides an agentic AI platform designed to optimize complex industrial workflows across manufacturing operations. The platform unifies OT and IT data to enable autonomous decision-making for production scheduling, supply chain management, and troubleshooting. This results in improved operational efficiency, reduced loss, and scalable workforce enablement for manufacturers.
Funding
$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
TGFounders
Product
Problem
Manufacturers often struggle with rigid, legacy Manufacturing Execution Systems (MES) that are difficult to customize and integrate with existing infrastructure. This inflexibility leads to inefficiencies in production monitoring, quality control, and workflow management, hindering operational improvements.
Solution
Ferry offers a modular MES platform that allows manufacturers to create and deploy custom, data-driven applications tailored to their specific operational needs. The platform provides building blocks to address challenges across production monitoring, quality, traceability, and planning. By integrating with existing MES, historian, and factory systems, Ferry enhances the capabilities of current tools and creates a digital ecosystem suitable for each factory's unique requirements. The platform's edge-to-cloud capabilities enable implementation in various environments, including on-premise, public cloud, and private cloud setups.
Target Audience
Ferry targets process and manufacturing engineers, operations and plant managers, and IT teams seeking to accelerate digital transformation and improve manufacturing operations with flexible, data-driven applications.
Features
- Modular building blocks for creating custom factory floor applications
- Real-time data extraction from PLCs, sensors, and on-premise databases without requiring changes to existing automation or IT processes
- Customizable dashboards and visualizations for production monitoring and KPI tracking
- Flexible reporting framework for operators to share observations and enrich KPI monitoring
- Alerting framework to ensure operators receive timely information for uninterrupted production flow
- Edge compute framework for full visibility and control over data flows, devices, and deployments
- Native integrations with existing cloud providers for maintaining control of cloud resources, data, and IP
- Ability to export analysis to tools like Excel and PowerBI, or stream data to cloud services for further processing and machine learning