
ONIQ
Enabling the Transformation to Lean and Green Manufacturing.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
N/A | €0.0 | round | |
investor investor | €0.0 | round | |
N/A | Support Program | ||
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 17 % | 14 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
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: Dealroom estimates
Related Content
ONIQ is a startup that offers a digital solution, IQA, aimed at revolutionizing lean and sustainable manufacturing. The software provides transparency in production processes, identifying areas where improvements can be most beneficial. It serves clients in the manufacturing sector, operating in a market that is increasingly seeking efficient and sustainable production processes.
The business model of ONIQ is centered around its proprietary software, IQA. This software creates a digital twin of a company's production processes, using data from existing IT systems to automatically map out process flows and material movements. This eliminates the need for manual process mapping, making it a time and cost-efficient solution for manufacturers.
IQA also uncovers potential improvements in production processes using AI-based algorithms. These algorithms can identify root causes of process weaknesses and prioritize areas for action. This allows manufacturers to focus their resources on the most critical areas, thereby maximizing efficiency and productivity.
In addition to improving efficiency, IQA also promotes sustainability. It analyzes the energy and CO2 footprint within the value stream, suggesting measures for enhancing environmental performance. This aligns with the growing trend towards green manufacturing, making Oniq.com a relevant player in the market.
The software supports both daily shop floor management and continuous improvement processes, providing manufacturers with a data-driven approach to productivity and sustainability.
Keywords: Lean Manufacturing, Sustainable Manufacturing, Digital Twin, AI-Based Analytics, Process Analysis, Continuous Improvement, Value Stream Mapping, Production Efficiency, Green Manufacturing, Software Solution.