Disconnected IT monitoring = Downtime and missed alerts

The bigger the company, the bigger the responsibility of IT teams is.

They monitor complex network infrastructures, which allows for:

  • Detecting network failures or performance degradation instantly
    Example – Telecom company: Technicians can fix issues before customers experience outages.

  • Scan and report unusual activity such as hacking attempts.
    Example – Banking company: The bank immediately and automatically blocks the attempt and informs users of cybersecurity good practices.

CLM (Peru) specialises in advanced data centre infrastructure, cybersecurity, and identity and governance management solutions across Latin America.

They provide custom monitoring of their clients’ IT infrastructure, especially in the telecommunications and banking sectors.

Despite how paramount monitoring is, current processes are far from offering optimal solutions:

  • Monitoring solutions require multiple disconnected tools for logs, metrics, and traffic analytics:
    – This lack of integration increases operational costs and response times.
    – It is difficult to link related incidents happening in different parts of the IT environment.
    Example: If a network device failure causes server errors and application slowdowns, isolated tools might raise separate alerts without showing the root cause that connects them all.

  • Traditional tools are not flexible enough to handle the volume of data generated by CLM’s large customers.

As a consequence, CLM’s customers may face undetected failures and extended downtime at a time when Service Level Agreements (SLAs) are more and more demanding and the cybersecurity topic is increasingly sensitive.

In other words, efficient monitoring is key for CLM’s reputation as a trusted technology integrator

Viewtinet: One monitoring platform that does the job of three

Spanish startup Viewtinet offers next-generation monitoring empowerment for corporations such as CLM given that it offers unified network observability and analytics.

Their clients – and new partner CLM – gain comprehensive, real-time insights and control over applications, users, and network traffic using advanced data correlation.

As a result: 

  • Productivity increase: With a unified tool to monitor everything (logs, metrics, devices, systems, applications, IP traffic, etc.), IT teams no longer need to switch between multiple tools.

  • Reduction of operational costs: Viewtinet can provide under one tool what usually needs two or three different solutions. This reduces the licensing that firms such as CLM are paying.
  • Higher customer satisfaction: By identifying and correlating incidents much faster, IT teams can resolve issues proactively and thus reduce the “Mean Time to Repair” (MTTR*), eventually leading to compliance with the SLAs and more satisfied clients.

The EU-LAC Digital Accelerator brings in PoC expertise

The EU-LAC Digital Accelerator will specifically support the CLM x Viewtinet partnership with one key acceleration service: PoC design & Prototyping.

This service will provide a structured framework to develop and validate the unified monitoring solution pilot. 

It will help define KPIs (e.g. MTTR levels), and measure the solution’s technical feasibility and impact concretely. This reduces risks, improves solution refinement through measurable feedback, and accelerates readiness for full implementation and scaling.

In the starting blocks to scale over Latin America for a 40% reduction in MTTR

CLM

(Corporate)

VIEWTINET

(Startup)

  1. Enhance SLA compliance and customer satisfaction by gaining real-time visibility and proactive incident detection.

  2. Validate the business case for scaling Viewtinet’s solution across other enterprise clients in Peru and Latin America.
  1. Reduce the MTTR (Mean Time to Repair) in real environments by over 40%.

  2. Prove the solution can make customers save up to 30% yearly (vs. other solutions) while making no compromise on the available functionalities.

 

*MTTR (Mean Time to Repair) is the average time required to diagnose, fix, and restore a failed IT system or component to full operational functionality after an incident. It measures the efficiency of repair processes and directly impacts system uptime by minimising downtime in IT infrastructure.

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

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