
MainRail Solutions
Provides IT-based solutions to help optimizing infrastructure maintenance operations.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
* | €850k Valuation: €5.6m 184.3x EV/Revenue | Seed | |
Total Funding | 000k |
EUR | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | (84 %) |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
% profit margin | (401 %) | (1810 %) |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Company filings or news article
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MainRail Solutions operates as a specialized technology firm focused on the digitalization of railway infrastructure maintenance. The company was established in 2020 as a spin-off from the Ceit Technology Centre, with backing from the company Inycom. MainRail is headquartered in Pamplona, Spain.
The company's core business revolves around providing advanced software solutions to railway infrastructure managers and maintenance companies. Its business model is centered on its proprietary software platform, MainRailMT, a modular solution that integrates enterprise asset management (EAM) and computerized maintenance management systems (CMMS) with advanced analytics. This platform enables clients to digitize their infrastructure, manage maintenance operations, monitor the health of assets in real-time, and predict future needs. Revenue is generated through the implementation and licensing of this software platform.
MainRail's flagship product, MainRailMT, provides a comprehensive suite of tools for maintenance management. Its features include a complete inventory and GIS geolocalization of assets, monitoring of key performance indicators (KPIs), and management of maintenance tasks, resources, and workforce. A key differentiator is its predictive analysis capability, which utilizes not only historical data but also simulations based on physical models and digital twins to forecast asset behavior and potential failures, such as track buckling due to high temperatures. This predictive approach is enhanced by the integration of weather forecasts and allows for the optimization of maintenance scheduling. The platform is designed to reduce maintenance costs by up to 25%, increase network capacity by minimizing service unavailability, and improve overall service quality.
Since its inception, MainRail has achieved significant traction, with its platform implemented on over 3,200 kilometers of railway track. In December 2023, the company secured €854,000 in a funding round involving investors such as Navarra Tech Transfer Fund from Sodena, Clave Capital's UN I+d+i Tech Transfer Fund, and the Innvierte Programme from CDTI Innovación. This capital is intended to fund new technological developments and support commercial expansion.
Keywords: railway maintenance, predictive maintenance, infrastructure digitalization, asset management software, digital twin technology, CMMS, EAM, railway technology, infrastructure analytics, track maintenance, cost reduction, network capacity, predictive algorithms, IoT in rail, maintenance optimization, railway safety, asset health monitoring, GIS mapping, maintenance scheduling, transportation technology