
Manusis 4.0
Scalable asset management platform for predictive maintenance.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
investor investor | €0.0 | round | |
N/A | $1.0m | Seed | |
Total Funding | 000k |
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 78 % | 35 % |
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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Manusis 4.0 provides a comprehensive, web-based platform for asset and maintenance management, designed to serve industries ranging from small businesses to large, multi-site corporations. The company was founded by professionals certified in maintenance and reliability. The firm's leadership includes CEO Rodrigo Rotondo and CTO Henrique Kraemer.
The company's business model is centered on a scalable, subscription-based service. Clients can begin with the basic CMMS solution, Manusis Lite, and upgrade to more advanced versions like Enterprise and Corporate as their operational needs evolve. This structure allows Manusis to cater to clients at different stages of maintenance maturity, from reactive to predictive. The platform is built on AWS and features a robust mobile application that functions both online and offline, incorporating technologies like QR codes and voice commands.
Manusis 4.0's core offering is a suite of software solutions that digitize and optimize maintenance processes, aiming to reduce costs and increase asset availability. Its flagship product, Evoy Insights, integrates IoT, machine learning, and AI to enable real-time predictive monitoring and data analysis for critical assets. This allows for the prediction of failures and the automated triggering of maintenance orders. The platform also includes specialized plugins based on the World Class Manufacturing (WCM) methodology, addressing areas such as project management, vehicle fleet management, and third-party service-level agreement (SLA) management.
Keywords: asset management, predictive maintenance, Industry 4.0, CMMS, EAM, IoT platform, maintenance management, reliability engineering, digital twin, machine learning, mobile maintenance, WCM, maintenance software, SLA management, facilities management, real-time monitoring, asset lifecycle management, predictive analytics, enterprise asset management, operational excellence
Investments by Manusis 4.0
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