Reliable and agile for enterprise scale
Turn AI from pilot to production with enterprise-grade DataOps and MLOps frameworks
Turn AI from pilot to production with enterprise-grade DataOps and MLOps frameworks
AI success isn’t just about models—it’s about making them work in the real world. That means robust pipelines, governed lifecycles, and continuous optimization.
Data & AI Operations brings together enterprise-grade MLOps, DataOps, and AI observability to ensure your models are not only deployed—but monitored, improved, and aligned to business outcomes. Whether you're scaling GenAI use cases, ensuring compliance with our accelerators, or enabling real-time root cause analysis, we help you move from experimentation to execution.
With modular frameworks, built-in governance, and accelerators, we make AI operational—secure, scalable, and outcome-driven.
Data & AI Operations brings together enterprise-grade MLOps, DataOps, and AI observability to ensure your models are not only deployed—but monitored, improved, and aligned to business outcomes. Whether you're scaling GenAI use cases, ensuring compliance with our accelerators, or enabling real-time root cause analysis, we help you move from experimentation to execution.
With modular frameworks, built-in governance, and accelerators, we make AI operational—secure, scalable, and outcome-driven.
Our Key Differentiators
![Production-Grade MLOps & DataOps]()
![Governed AI, Ready for Compliance]()
![Continuous Optimization & Observability]()
Designed for scale and AI powered future
Production-Grade MLOps & DataOps
Deploy, monitor, and manage models and data pipelines with enterprise-grade reliability
Governed AI, Ready for Compliance
Ensure every model and data flow adheres to governance, auditability, and regulatory standards
Continuous Optimization & Observability
Enable feedback loops, root cause analysis, and performance tuning with GenAI-powered observability
Our Services
Purpose built enterprise scale MLOps and DataOps services
MLOps & Model Lifecycle Management
DataOps for Agile Delivery
AI Observability
CDi for Compliance & Operational MDM
GenAI for Root Cause Analysis
MLOps & Model Lifecycle Management
Ensure your models are production-ready, monitored, and continuously optimized for business impact
Model Deployment & Monitoring
Automate deployment across environments with CI/CD pipelines
Lifecycle Governance
Track model versions, lineage, and audit trails for compliance
Performance Tuning
Use feedback loops and drift detection to refine models over time
DataOps for Agile Delivery
Accelerate data workflows with automation, collaboration, and continuous integration
Pipeline Automation
Build and manage data pipelines with reusable components and templates
Collaborative Workflows
Enable cross-functional teams to collaborate on data delivery
Rapid Iteration
Shorten development cycles with modular, testable data flows
AI Observability
Gain visibility into your AI systems with real-time monitoring, diagnostics, and root cause analysis
Telemetry & Logging
Capture detailed logs and metrics across models and pipelines
Drift & Anomaly Detection
Detect performance degradation and data anomalies early
Root Cause Analysis (GenAI)
Use GenAI to explain failures, suggest fixes, and improve reliability
CDi for Compliance & Operational MDM
Ensure trusted data and AI governance with a lightweight, scalable compliance engine
Policy Enforcement
Apply governance rules across data and AI workflows
Operational Mastering
Master key business entities with built-in lineage and stewardship
Audit-Ready Frameworks
Enable regulatory compliance with traceable, secure data operations
GenAI for Root Cause Analysis
Diagnose issues faster and smarter with GenAI-powered insights across data and model workflows
Automated Diagnostics
Use GenAI to identify failure points across pipelines and models
Contextual Explanations
Generate human-readable summaries of what went wrong and why
Prescriptive Recommendations
Recommend fixes and optimizations based on historical patterns and system context
MLOps & Model Lifecycle Management
MLOps & Model Lifecycle Management
Ensure your models are production-ready, monitored, and continuously optimized for business impact
Model Deployment & Monitoring
Automate deployment across environments with CI/CD pipelines
Lifecycle Governance
Track model versions, lineage, and audit trails for compliance
Performance Tuning
Use feedback loops and drift detection to refine models over time
DataOps for Agile Delivery
DataOps for Agile Delivery
Accelerate data workflows with automation, collaboration, and continuous integration
Pipeline Automation
Build and manage data pipelines with reusable components and templates
Collaborative Workflows
Enable cross-functional teams to collaborate on data delivery
Rapid Iteration
Shorten development cycles with modular, testable data flows
AI Observability
AI Observability
Gain visibility into your AI systems with real-time monitoring, diagnostics, and root cause analysis
Telemetry & Logging
Capture detailed logs and metrics across models and pipelines
Drift & Anomaly Detection
Detect performance degradation and data anomalies early
Root Cause Analysis (GenAI)
Use GenAI to explain failures, suggest fixes, and improve reliability
CDi for Compliance & Operational MDM
CDi for Compliance & Operational MDM
Ensure trusted data and AI governance with a lightweight, scalable compliance engine
Policy Enforcement
Apply governance rules across data and AI workflows
Operational Mastering
Master key business entities with built-in lineage and stewardship
Audit-Ready Frameworks
Enable regulatory compliance with traceable, secure data operations
GenAI for Root Cause Analysis
GenAI for Root Cause Analysis
Diagnose issues faster and smarter with GenAI-powered insights across data and model workflows
Automated Diagnostics
Use GenAI to identify failure points across pipelines and models
Contextual Explanations
Generate human-readable summaries of what went wrong and why
Prescriptive Recommendations
Recommend fixes and optimizations based on historical patterns and system context
How it Works
From Strategy to Scale, Seamlessly
From Strategy to Scale, Seamlessly
Accelerated Implementation
Modular frameworks like CDi and pre-built pipelines reduce time-to-value and simplify integration
Enterprise Integration
Seamless alignment with your existing data platforms, governance models, and AI workflows
Continuous Optimization
Feedback loops, GenAI diagnostics, and observability tools ensure your models and pipelines evolve with business needs
Our Accelerators
Frameworks & Accelerators
Our Success Stories
Keeping You Updated
Data & AI Operations - Questions frequently asked
What is MLOps, and how can Xoriant help enterprises deploy and manage machine learning models at scale?
MLOps is the practice of automating and governing the entire machine learning lifecycle. Xoriant helps enterprises deploy models with CI/CD pipelines, monitor performance, and ensure compliance using enterprise-grade frameworks.
How does DataOps improve agility in data workflows, and how can Xoriant help organizations implement it?
DataOps brings DevOps principles to data engineering, enabling faster, more reliable data delivery. Xoriant implements DataOps with automated pipelines, collaborative workflows, and continuous integration for agile analytics.
What is AI observability, and how can Xoriant help ensure reliable monitoring of AI pipelines?
AI observability provides visibility into data and model health. Xoriant enables real-time monitoring, drift detection, and root cause analysis to keep AI systems accurate and compliant.
Why is machine learning monitoring critical for business success, and how can Xoriant help set it up?
Monitoring ensures models remain accurate and aligned with business goals. Xoriant sets up automated tracking, anomaly detection, and feedback loops to maintain trust and performance.
What role does model lifecycle management play, and how can Xoriant help enterprises govern it effectively?
Model lifecycle management ensures models are versioned, auditable, and continuously optimized. Xoriant provides governance frameworks and tools for secure, compliant, and efficient lifecycle control.
How can Xoriant help organizations ensure compliance and governance across AI and DataOps workflows?
We embed governance into every workflow with policy enforcement, lineage tracking, and audit-ready frameworks, ensuring compliance with industry and regulatory standards.
How does Xoriant help enterprises move from AI experimentation to production with scalable MLOps and DataOps frameworks?
We provide modular, enterprise-grade frameworks that operationalize AI quickly and securely. This approach helps businesses scale from pilots to production with confidence and measurable impact
Get Started
Think Tomorrow
With Xoriant
With Xoriant
