
Workerbase
Dynamic Process Execution Platform to increase flexibility in manufacturing.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
* | €10.0m | Series A | |
Total Funding | 000k |
EUR | 2020 | 2021 | 2022 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 122 % | - |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
% profit margin | (96 %) | 2 % | - |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
WORKERBASE is a technology company specializing in connected worker platforms designed to enhance production flexibility and operational efficiency in the manufacturing sector. The company operates within the Industry 4.0 market, focusing on integrating workforce and machinery into a unified digital environment. This integration allows for real-time adaptation to changing customer demands and operational conditions, ensuring business continuity and cost reduction. WORKERBASE serves a diverse range of clients in the manufacturing industry, including those involved in assembly, machine operation, material management, and quality control. The business model revolves around providing a low-code IIoT (Industrial Internet of Things) application platform that empowers frontline workers through real-time workflows, data analytics, predictive work, and process mining. Revenue is generated through subscription-based services and customized solutions that extend existing ERP (Enterprise Resource Planning), MES (Manufacturing Execution Systems), or other IIoT systems. The platform's key features include real-time data collection, continuous improvement analytics, and a suite of industrial apps designed to improve overall equipment effectiveness (OEE) and throughput.
Keywords: Industry 4.0, connected worker, real-time workflows, IIoT, manufacturing, operational efficiency, production flexibility, data analytics, process mining, low-code platform.