AI-Driven Observability & Incident Prevention
We engineer AI-native observability platforms that unify logs, metrics, and traces—predicting incidents before they occur and automating remediation to ensure continuous uptime, reliability, and compliance across enterprise systems.
Transformative AI-Driven Observability & Incident Prevention Services
Real-world Solutions Delivered for Fortune 500 Companies
Banking Core Systems Reliability
Banking Core Systems Reliability
Reduced MTTR by 60% using AI-based log correlation and automated remediation in mainframe-to-cloud integration systems.
Retail E-Commerce Observability
Retail E-Commerce Observability
Predicted high-cart-abandonment events during sales peaks by detecting latency anomalies, reducing transaction failures by 30%.
Healthcare Application Stability
Healthcare Application Stability
Achieved 99.98% uptime in patient scheduling platforms by predicting memory leaks and proactively scaling clusters.
Telecom Network Assurance
Telecom Network Assurance
Prevented 70% of recurring outages across 20,000+ network nodes through anomaly detection and closed-loop auto-remediation.
Why Choose Aziro for Hybrid Cloud Orchestration & Governance?
Real-time predictive insights across distributed systems
Automated root cause detection with graph-based AI
Self-healing incident prevention that reduces MTTR
Cross-domain correlation for full-stack visibility
Proven reliability gains in retail, BFSI, healthcare, and telecom
CO-CREATE YOUR NEXT INTELLIGENT SYSTEM
Ai-Led Outcomes.
Human-Centric Impact.
From Fortune 500s to digital-native startups — our AI-native engineering accelerates scale, trust, and transformation.
Unified AI-Augmented App Stack for an eCommerce Leader
Aziro delivered multiple cross-platform apps using ML-assisted code generation and real-time CI observability — enabling seamless integration across mobile, analytics, and operations layers.
5
Projects Delivered across brands
4+
Full-stack delivery with AI-led velocity
Autonomous, Private QA Agents for a Networking Giant’s Enterprise Testing
Aziro deployed local LLM-powered QA agents that auto-generated, optimized, and executed test scripts across critical software stack — without internet connectivity or cloud dependence.
80%
Reduction in manual testing
100%
Private, on-prem inference
AI-Led Payment Automation for a FinTech Leader
Aziro implemented an intelligent payment orchestration system powered by cognitive workflows and embedded anomaly detection, ensuring zero reconciliation errors across the financial lifecycle.
60%
Boost in processing speed
100%
Accuracy in audit reconciliation
Predictive Storage Intelligence for a Data Storage Leader
Aziro built an AI-powered observability layer that predicts bottlenecks, allocates resources dynamically, and enhances decision-making with ML-based usage trends.
30%
Gain in storage efficiency
24/7
Continuous AI-driven insights & alerts
AI-Enabled Claims Automation for an Insurance Giant
Aziro deployed a scalable, AI-native claims management platform with predictive triage, automated case routing, and observability built into the core — all running in a cloud-agnostic environment.
40%
Reduction in infra cost
99.9%
Uptime with intelligent failover
Scaling AI-Native Engineering
Aziro built a cross-functional engineering squad embedded with AI-augmented DevOps pipelines, reducing release cycles and delivering UI-rich SaaS modules at scale.
5x
Team growth in under 12 months
10+
AI-accelerated product modules shipped
PROVEN EXPERTISE IN All-Flash Array Services
Our Cognitive Infrastructure Engineering Technology Stack
Our Cognitive Infrastructure Engineering Technology Stack
LET'S ENGINEER
Your Next Product Breakthrough
Book a Free 30-minute Meeting with our technology experts.
Aziro has been a true engineering partner in our digital transformation journey. Their AI-native approach and deep technical expertise helped us modernize our infrastructure and accelerate product delivery without compromising quality. The collaboration has been seamless, efficient, and outcome-driven.
Fortune 500 company
