Factry provides a unified platform for manufacturing operations to centralize and contextualize industrial data. It enables real-time visibility into production performance, allowing teams to identify bottlenecks and optimize processes for improved efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing operations often struggle with fragmented and manually collected data, leading to a lack of real-time visibility into production performance. This data deficit hinders the identification of inefficiencies, impedes proactive decision-making, and results in suboptimal process control and increased downtime.
Solution
Factry provides a unified digital platform that centralizes and contextualizes industrial data, enabling plant-wide performance optimization. The platform facilitates automated, real-time data collection from diverse sources, transforming raw signals into actionable insights. This enhanced visibility empowers operational teams to identify bottlenecks, monitor key performance indicators (KPIs) like Overall Equipment Effectiveness (OEE), and implement data-driven improvements. By providing a single source of truth, Factry supports proactive management of production processes, reducing waste and maximizing operational efficiency.
Target Audience
The primary target audience includes process manufacturers across various industries, such as Food & Beverage, Specialty Chemicals, Energy & Utilities, Heavy Industry, and Textiles, who seek to improve operational efficiency and gain control over their production data.
Features
- **Factry Historian**: A time-series database designed for industrial data, capable of capturing, structuring, and analyzing real-time and historical process data.
- **FactryOS**: A production execution and optimization module that provides real-time operational intelligence, supports data-driven decision-making, and enhances shop floor operations.
- **Automated Data Collection**: Integrates with PLCs, SCADA systems, MES platforms, and other sources via a library of collectors and an OpenAPI REST API.
- **Data Contextualization**: Organizes data within an ISA-95 compliant asset hierarchy, enriching raw signals with production context and metadata.
- **Event Detection and Analysis**: Automatically captures and aligns key production events (e.g., batch completions, downtime) with time-series data to analyze impact on quality and efficiency.
- **Self-Service Data Exploration**: Empowers non-technical users (operators, engineers, QA) to explore production data and build dashboards without requiring SQL expertise or IT support.
- **Integration Capabilities**: Offers connectors for platforms like Seeq and Grafana, enabling seamless data access and visualization within existing analytical environments.
- **Open Data Architecture**: Provides direct database access and adheres to open standards, preventing vendor lock-in and facilitating programmatic integration.