Digital Infra & App

Revolutionize IT operations with AI optimized data and automation

CleanOps: We turn IT data into AI-ready insights for faster, smarter incident resolution.

Before AI can resolve incidents, it must understand them. We help enterprises clean, structure, and enrich IT Operations data, making it ready for advanced AI-driven incident management, root cause analysis, and automation.

Transform your noisy IT data into actionable insights—optimize performance, reduce downtime, and enable smarter, faster decision-making.

Benefits

Improved data quality across IT operations

Structured, enriched, and standardized data ready for downstream AI use.

Enhanced collaboration across teams and tools

Consistent taxonomy and better traceability across incidents, alerts, and changes.

Increased visibility into operational patterns

Enable trend analysis and performance insights through better data foundation.

Stronger foundation for automation and prediction

Prepare environments for meaningful AIOps use cases.

Challenges

Messy, inconsistent ticket data

AI models can’t learn from poor-quality, unstructured ticket content.

Lack of a unified taxonomy

Different tools, teams, and naming conventions lead to fragmented datasets.

Excessive monitoring alerts

High alert volumes from monitoring tools like Dynatrace and SolarWinds cause alert fatigue and missed signals.

Disconnected change and incident records

Without linking these, true root causes are obscured.

Other Services

AI ThinkPanel

Our OPS Agent brings natural language intelligence to your business workflows, giving teams the capability to create and have instant access to insights and reports without relying on SQL queries or technical support. This enables leaders and decision-makers to act faster, resolve issues proactively, and remove reporting bottlenecks that slow business performance.

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Predictive Maintanance

Predictive Maintenance leverages advanced analytics and AI to unify monitoring across assets, applications, and infrastructure layers. By correlating telemetry, logs, and alerts in real time, we enable proactive detection of hardware failures and software anomalies before they disrupt critical services.

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AgenticOPS

Our AgenticOPS integrates intelligent context capture into every stage of the support lifecycle, enabling users to report issues seamlessly while providing teams with complete diagnostic information. This approach eliminates ticket friction, accelerates troubleshooting, and ensures faster, more reliable resolutions across complex digital environments.

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Get in touch with one of our offices so we can make a start on changing your life through innovation.

Revolutionize IT operations with AI optimized data and automation

CleanOps: We turn IT data into AI-ready insights for faster, smarter incident resolution.

Use Case | Telco

A major telecom provider serving millions with mobile, internet, and TV services. Focused on digital excellence, it ensures seamless user experiences and high-performance across channels.

The challenge:

Our approach:

The results:

Use Case | Energy

A leading energy provider operating complex, large-scale systems that demand seamless IT support and cross-departmental operational efficiency.

The challenge:

Our approach:

The results:

Use Case | Utilities

A major player in the utilities sector, the organization oversees critical infrastructure and depends on streamlined, reliable IT operations to maintain service continuity.

The challenge:

Our approach:

The results:

Use Case | FSI

A leading player in the financial services industry, the organization operates in a highly regulated environment where efficient, consistent IT operations are essential for compliance and service reliability.

The challenge:

Our approach:

The results:

Benefits

Improved data quality across IT operations

Structured, enriched, and standardized data ready for downstream AI use.

Enhanced collaboration across teams and tools

Consistent taxonomy and better traceability across incidents, alerts, and changes.

Increased visibility into operational patterns

Enable trend analysis and performance insights through better data foundation.

Stronger foundation for automation and prediction

Prepare environments for meaningful AIOps use cases.