LLMOps Pipeline Services

We engineer scalable LLMOps pipelines to streamline deployment, fine-tuning, and governance of large language models in enterprise environments.

AI-Native LLMOps Pipelines

AI-Native LLMOps Pipelines

Real-world Solutions Delivered for Fortune 500 Companies

RAG Workflow for Financial Knowledge Base

RAG Workflow for Financial Knowledge Base

Enabled real-time LLM responses using internal documents, reducing hallucination rates by 70% for a global bank.

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Toxicity Filter for Healthcare Chatbot

Toxicity Filter for Healthcare Chatbot

Deployed custom guardrails to filter unsafe responses in a patient-facing virtual assistant.

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Model Fine-Tuning for Legal Research

Model Fine-Tuning for Legal Research

Fine-tuned open-source LLMs for legal use cases, improving accuracy and reducing turnaround time by 40%.

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Inference Cost Optimization

Inference Cost Optimization

Reduced token usage by 35% for an e-commerce client by implementing optimized prompt structures and batch inference.

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Why Choose Aziro LLMOps Pipeline Services?

1

Full-stack automation of the LLM lifecycle — from fine-tuning to deployment and feedback

2

Proven experience deploying foundation models securely in production

3

RAG workflows, RLHF, and prompt optimization for domain-specific use cases

4

AI observability and policy-driven guardrails to mitigate bias and risk

5

Performance- and cost-optimized architectures built for cloud-native scalability.

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Ai-Led Outcomes.

Human-Centric Impact.

From Fortune 500s to digital-native startups — our AI-native engineering accelerates scale, trust, and transformation.

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Case Study

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

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Case Study

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

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Case Study

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

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Case Study

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

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Case Study

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

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Case Study

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

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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.

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