Oplit
Helps industrials boost their operations profitability with a production planning solution designed for scale.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
€2.0m | Seed | ||
| Total Funding | 000k | ||
| USD | 2022 |
|---|---|
| Revenues | 0000 |
| EBITDA | 0000 |
| Profit | 0000 |
| EV | 0000 |
| EV / revenue | 00.0x |
| EV / EBITDA | 00.0x |
| R&D budget | 0000 |
Source: Dealroom estimates
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Oplit, established in 2020 by co-founders Thibaut Wilhelm and Soufiane Lamrissi, provides a SaaS platform designed to optimize production planning for manufacturers. The company originated from a collaboration between the two entrepreneurs and the manufacturing-focused studio OSS Ventures. A significant milestone was achieved in April 2022, when Oplit secured €2.6 million ($2.82 million) in a seed funding round led by Newfund, with participation from Evolem, Kima Ventures, BACS-Innov, and others, to expand its team and enhance research and development.
The firm targets the Industry 4.0 market, serving a diverse client base across sectors such as luxury, aerospace, automotive, packaging, watchmaking, and pharmaceuticals. Its business model is subscription-based, offering clients a cloud platform that provides real-time monitoring and management of production operations. The core of Oplit's service is to improve the profitability and efficiency of industrial sites by offering solutions for load/capacity balancing, scheduling, and managing work in progress.
Oplit's platform is engineered to integrate with a client's existing Enterprise Resource Planning (ERP) and Manufacturing Execution Systems (MES). It automates data collection to provide a centralized, real-time view of operations, enabling better communication between supply chain and production teams. Key features include the ability to simulate and compare different production scenarios, track progress, and use artificial intelligence to identify potential improvements. The software helps manufacturers manage inventory to avoid stockouts, optimize resource allocation, and organize operations through an intuitive interface with automated scheduling algorithms. This allows for more agile and responsive management of workshops, helping to identify and address bottlenecks in the short and medium term.
Keywords: production planning, manufacturing optimization, Industry 4.0, SaaS, production scheduling, supply chain management, real-time monitoring, industrial manufacturing, load balancing, capacity planning, MES integration, ERP integration, operational efficiency, advanced planning and scheduling, factory optimization, workflow management, aerospace manufacturing, automotive production, luxury goods manufacturing, pharmaceutical production