
ProGrow
A software company focused on sharing and discussing operational results and best practices.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
* | $2.2m Valuation: $14.4m | Early VC | |
Total Funding | 000k |
USD | 2020 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | - | 70 % |
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
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ProGrow, S.A. operates as a developer of production management software, providing a platform for industrial frontline operations. The company is headquartered in Matosinhos, Portugal.
The company was founded by Marco Tschan Carvalho, who currently serves as CEO. He leads a team that includes Ricardo Tschan Carvalho as COO and Joaquim Silva as CTO. Since its inception, ProGrow has secured total funding of approximately $7.08 million over several rounds from investors including Portugal Ventures, Lince Capital, HCapital Partners, and Touro Capital Partners. A recent funding round in May 2025 brought in €2 million to launch its upgraded platform, proGrow 3.0.
ProGrow's core offering is a web platform that utilizes IoT connectivity and data analytics to digitize and monitor factory operations. The system is designed to be compatible with any industrial machine, including older equipment, and can be installed in under an hour. It serves a client base of small to medium-sized businesses (SMBs) and larger industry leaders in sectors like automotive and plastics. The business model is subscription-based, involving an initial implementation cost followed by a monthly subscription fee that covers platform updates, cloud infrastructure, maintenance, and support.
The platform's main function is to collect real-time data from industrial machines, which can be done directly through controllers, sensors, an IoT Gateway, or manual entry. This data is then used to monitor key performance indicators such as Overall Equipment Effectiveness (OEE), track machine downtime, and analyze production processes. Key features include customizable dashboards, real-time alerts, and collaborative tools for continuous improvement methodologies like Lean, Kaizen, and Six Sigma. By leveraging artificial intelligence and generative AI, the platform can identify patterns, predict equipment failures, and suggest root causes for production issues, transforming raw data into actionable insights for management.
Keywords: production management software, industrial IoT, operational excellence, manufacturing analytics, OEE monitoring, factory digitization, shop floor management, real-time data, continuous improvement tools, predictive maintenance, smart factory, Industry 4.0, lean manufacturing, process optimization, machine monitoring, downtime analysis, industrial data platform, manufacturing intelligence, SMB manufacturing solutions, production efficiency