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AIOps for IT Operations for
Your Enterprise 

Unify intelligent observability, automation, and optimization for
seamless IT operations and enhanced user experiences 

Trusted by Leaders

Testimonials

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I needed a cost-effective transaction monitoring tool which would identify high-risk transactions, flag potential control weaknesses, improve over time through machine learning, reduce the number of false positives reviewed by the compliance team and be user-friendly in terms of configuration and visualization. konaAI delivers on all counts, and I was very pleased with the choice we made.

Amay Sharma
CEO, Unblast 

Driving Success Through
Strategic Partnerships

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Our story

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Our story

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Switch to Intelligent IT Operations Management 

As hybrid and cloud-native environments grow, managing data complexity becomes challenging. Our AIOps services transform traditional IT operations into predictive, autonomous systems by analyzing signals across applications, infrastructure, and user experience. This enables faster issue detection, reduced MTTR, improved reliability, and more agile operations, thus delivering seamless digital experiences.

Key Capabilities

Anomaly Detection

Anomaly Detection

Identify deviations in metrics, logs, or behavior across distributed systems using ML models.

Event Correlation

Event Correlation

Group related alerts into meaningful clusters with AI-based pattern recognition, streamlining incident management.

Predictive Maintenance

Forecast & Fix

Forecast system or component failures and proactively schedule maintenance, reducing unplanned downtime.

Automated RCA

Automated RCA Generation

Generate root cause analysis (RCA) reports using NLP and large language models (LLMs), improving incident resolution speed and accuracy.

Cognitive ITSM

Cognitive ITSM Integrations

Enhance ticket triage and resolution with GenAI copilots and chat-based interfaces.

Explore Observability Services
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Proven AI-Powered Observability 

Modern systems are distributed and noisy. Without the right visibility, small issues can escalate fast. Our AI-powered observability solutions give you full-stack insights across applications, infrastructure, and networks, so that you don’t miss what matters.

What We Do

Unified Observability Fabric

Unified Observability

We bring together metrics, traces, logs, and events into one platform.

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Distributed
Tracing

Uncover performance bottlenecks and reduce troubleshooting time with LLMs.

Intelligent Log Analysis

Intelligent Log Analysis

Identify anomalies and sift through logs using NLP-powered clustering.

Dynamic Service Maps

Dynamic Service Maps & Heatmaps

Visualize system health in real time. With AI-prioritized alerts, you know exactly where to look and when to act.

AI-Driven Alert Tuning

AI-Driven Alert Tuning

Don’t be overwhelmed with false positives! We help fine-tune thresholds and suppress alert noise.

Explore Observability Services
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Automated Incident Handling 

Traditional incident response relies heavily on human attention and reaction time, often causing a delay in resolution. In contrast, automated incident response systems act instantly. AI-powered incident management systems manage routine incidents on their own, enabling subject matter experts to stay focused on more critical challenges.

What We Do

Enrich Events with Context

Contextualize Events

Add metadata and tags using AI to support faster triage and decision-making.

Automate Ticketing

Automate
Ticketing

Generate and route incident tickets instantly using NLP-based models.

Trigger Remediation Workflows

Remediation Workflows

Resolve routine issues automatically using prebuilt scripts and RPA workflows.

Chat Collaboration

Enable Chat-Based Collaboration

Use bots to log, track, and escalate incidents directly in platforms like Teams.

Learning from Incidents

Learn from Every Incident

Analyze trends and flag recurring issues to prevent future disruptions.

Explore Incident Management
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Reliable Cloud & Infrastructure Optimization

Whether starting your cloud journey or managing multi-cloud environments, our cloud consulting and optimization services support you end-to-end. Leveraging AI and machine learning, we continuously tune infrastructure in real time, ensuring peak efficiency as workloads and cloud offerings evolve.

What We Do

AI-Led Workload Rightsizing

AI-Led Workload Rightsizing

Analyze usage patterns to recommend CPU, memory, and storage adjustments in real time.

Predictive Auto-Scaling

Predictive Auto-Scaling

Use time-series forecasting and reinforcement learning to scale resources before bottlenecks hit.

Cluster Optimization

Cluster Optimization

Tune Kubernetes and GKE/ECS/AKS clusters to improve pod utilization and bin-packing efficiency.

Capacity Planning

Capacity Planning

Build forward-looking plans based on workload trends and upcoming business events.

Sustainability Integration

Sustainability Integration

Integrate carbon-aware scheduling, energy budgets, and GreenOps metrics into your infrastructure operations.

Explore Cloud Optimization
The Covasant 
Edge
Covasant brings together deep domain expertise, a proven AI-first engineering approach, and proprietary accelerators to deliver faster, smarter, and more scalable transformation outcomes. Our focus on intelligence, interoperability, and innovation gives enterprises the edge they need to modernize with confidence and clarity.
Data Engineering

The Foundation of Data Excellence

Transform raw data into enterprise-ready assets with our intelligent data platform engineering. We architect data ecosystems that scale with your business requirements along with building pipelines.

Differentiators

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AI-First Approach to IT Operations 

We embed AI at the core of every service from autonomous incident response to continuous infrastructure optimization.

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Deep Engineering, Broad Coverage

Our cross-functional teams bring domain-rich expertise across apps, infra, and networks, ensuring consistency from detection to resolution.

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Operational Agility at Scale

We design systems that self-tune and adapt to shifting workloads, reducing downtime, manual effort, and alert fatigue, even in complex  environments.

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Reduced time to results

Our approach delivers tangible ROI and business value at speed, without compromising on its credibility

Explore Data Engineering

Ready to drive cost control, climate action,
and system reliability? 

Get in Touch

 

Insights

Frequently Asked Questions

What is AIOps, and how does Covasant implement it?

AIOps (Artificial Intelligence for IT Operations) applies AI, ML, and automation to IT operations data to improve incident detection, response, and system optimization. Covasant integrates AIOps across observability, incident handling, and infrastructure management to drive autonomous operations. 

How is Covasant different from traditional IT monitoring vendors?

Traditional tools are reactive and siloed. Covasant provides an integrated, AI-led approach, combining observability, automation, and optimization to predict issues, respond faster, and continuously improve system performance. 

Can Covasant’s solutions work with our existing tools and platforms?

Yes. We integrate seamlessly with both OEM platforms (like Splunk, Datadog, ServiceNow, and Turbonomic) and open-source tools (like Prometheus, OpenTelemetry, Grafana, and ELK Stack). 

What benefits can I expect from automating incident handling?

Automated incident handling reduces MTTR, minimizes manual triage, lowers alert fatigue, and frees up IT teams to focus on higher-value tasks, while ensuring consistent, real-time responses. 

How does Covasant support cloud and hybrid infrastructure optimization?

We use AI and ML to dynamically rightsize workloads, forecast demand, optimize Kubernetes clusters, and integrate GreenOps principles to improve cost-efficiency and sustainability.