Data flow monitoring
Enjoying a clash after IT crash?
Sooner or later every company faces a breakdown in communication between its systems. Qeedio gives IT teams confidence and calm: it finds the problem before it becomes an outage and alerts only the person who should handle it.
What Qeedio is
Calm oversight of your data, not another source of alarms.
Qeedio is a cloud service that watches data operations across your systems and helps resolve issues before they hit the business.
- 01
Cloud service
No extra server in your data centre. The DataLoader collects metrics on your side, the analytics run in the Qeedio cloud.
- 02
Monitoring of data operations
ETL jobs, database procedures, SQL jobs, integrations between systems. Qeedio watches how data flows through your company.
- 03
Proactive issue prevention
Instead of fighting fires you handle risks in advance. Qeedio flags a negative trend before it turns into an outage.
- 04
Threat prediction
A predictive AI model learns from how your processes run and points you to what needs attention.
How Qeedio helps
Finds the problem earlier. And tells you where it is.
Five things that turn the chaos around outages into a calm, managed process.
- 01
Suggestion AI: threat prediction
Qeedio continuously analyses running processes and warns you in advance about what needs attention: often before a fault even occurs.
- 02
Qeedio Notifier: no more spam
Instead of a flood of notifications, it evaluates severity and sends a relevant alert only to the specific people who handle maintenance.
- 03
AI Knowledge Base
Captured errors and their patterns are automatically enriched via LLMs with the most likely resolution. Error templates inherit from the global level through company and connector down to a specific process step. You never solve the same problem from scratch twice.
- 04
System Overview
Tells you whether the error is in the data or in the infrastructure, and global search across processes, connectors and teams takes you straight to the source of the problem, not just its symptom.
- 05
Custom dashboards
Each team configures its own view of its data processes. The KPI overview (process success rate, connector health, trends) updates in real time.
- 06
Fast onboarding
We can deploy Qeedio within a week. No half-year implementation project, no large upfront investment.
Measurable impact
Fewer alarms, shorter outages.
For customers who use Qeedio to the full, we've cut recovery time (MTTR) by up to half. Most of the noise disappears and the IT team can focus on what's actually on fire. Or about to be.
Qeedio and enterprise AI
Part of your AI infrastructure, not another silo.
Qeedio doesn't stay closed in on itself. It opens its operational data to enterprise AI tools.
- 01
Qeedio AI Chat
A human-readable summary of your data process health, interactive analysis of predictions and configuration changes simply through chat.
- 02
Qeedio MCP server
An API layer for enterprise MCP clients, independent of specific LLM models. Pre-processed and aggregated operational data as part of your AI infrastructure.
- 03
Automatic tagging
Processes and error types are tagged automatically via LLMs. Less manual work, better overview across operations.
How it works
Light install on your side, heavy lifting in the cloud.
- DataLoader
- A lightweight service in your environment: collects metrics from monitored processes and sends them to the Qeedio cloud.
- Qeedio Cloud
- Analytics, predictive AI model, knowledge base and dashboards. Managed for you.
- Connectors
- SQL Server, Zabbix, Helios Green, web monitors and any JSON API. We build a connector for your own systems.
- Integration
- Notification channels (e-mail, ticketing) and MCP / API to plug into your AI infrastructure.
Onboarding
From decision to full operation in weeks, not months.
Non-disruptive deployment: Qeedio runs alongside your systems and doesn't reach into them. We move milestone by milestone, you stay in control throughout.
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Stage 1
01Setup
Create the company profile, deploy the DataLoader in your environment, data flows into the Qeedio cloud. Usually within a day.
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Stage 2
02Introduction period
We mark problematic processes, verify data consistency and run history for subsequent analysis.
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Stage 3
03Service configuration
We map critical processes, define responsible teams and set up notification channels.
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Stage 4
04Full operation
Validation run, rule tuning and handover. From now on Qeedio watches your processes 24/7.
We'll show you Qeedio on your own processes.
30 minutes, no strings. We'll go through which of your processes are critical and show how Qeedio would watch them.
This project was carried out with the financial support of the Technology Incubation programme.