MLOps & AI Platform Layer

Enterprise-Grade MLOps & AI Infrastructure for Scalable AI Systems

Automate your AI model lifecycle — from training and deployment to monitoring, retraining, governance, and compliance — with Mobiloitte's secure MLOps engineering.

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Engagement Models

Choose how you engage with Mobiloitte

Complete MLOps platform setup

AI infrastructure modernization

GPU cluster setup

Managed AI infrastructure

Model monitoring & retraining retainer

LLMOps (specialized for LLMs)

Why Mobiloitte

Full-stack MLOps expertise

550+ enterprise AI deployments

Expertise in large-scale AI infra

Private LLM deployments for BFSI & Govt

Strong DevOps + Cloud team

Multi-region delivery model (IN, UAE, USA, UK, SG)

Why MLOps now?

Why Enterprises Need MLOps Today

AI fails without MLOps. Enterprises face:

Model drift

High latency

Poor monitoring

Manual deployment bottlenecks

No version control

Multi-model chaos

Compliance issues

No pipeline for retraining

No GPU optimization

Lack of observability

Mobiloitte delivers end-to-end MLOps infrastructure that makes AI scalable, reliable, and governed.

Core Capabilities (Deep Enterprise-Grade)

Deep, enterprise-grade capabilities that keep AI reliable in production. From automated deployment to governance, Mobiloitte delivers end-to-end MLOps infrastructure.

Automated Model Deployment (CI/CD + CI/ML)

Deploy models to: Cloud (AWS, GCP, Azure), On-prem clusters, Edge, Kubernetes, Serverless Supports: Blue/green, Canary, A/B model rollouts

Model Versioning & Registry

We set up: Model registry, Data versioning, Audit trails, Metadata stores Tools: MLflow · DVC · Feast · Weights & Biases · LangSmith

Model Monitoring & Observability

Monitor: Drift detection, Latency, Data quality, Outliers, Real-time inference logs GPU usage, Errors & anomalies

Automatic Retraining Pipelines

Triggered by: Drift, New data, Performance degrade, Compliance rules

GPU/CPU Optimization for LLMs

Quantization (INT8/FP16), LoRA fine-tuning, Caching strategies Distributed inference, Token streaming optimizations

Hybrid & Private Cloud AI Infrastructure

For regulated industries: On-prem GPU clusters, VPC deployments Private LLM hosting, Secure VPN tunnels

Enterprise Model Governance

Align with: EU AI Act, GDPR, DPDP India, UAE PDPL, SOC2, HIPAA Includes: Model documentation, Permissioning, RBAC, Activity logging

Multi-Agent Orchestration Infrastructure

Agent execution logs, Agent chain observability Controlled agent behaviors, Fail-safe fallback modes

AI Cost Optimization (AI FinOps)

Reduce AI inference costs by: Caching, Token optimization Intelligent routing, LLM selection strategies

Ready to Build Enterprise MLOps Infrastructure?

Let our experts design, deploy, and manage your MLOps platform for scalable, reliable AI operations.

Request MLOps Demo Get Infrastructure Assessment

Technology Comparison

Modern MLOps vs Traditional Deployments

See how Mobiloitte's automated, policy-driven fabric outperforms script-based releases and manual ops.

Mobiloitte MLOps Fabric

Secure pipelines, reproducible infrastructure, integrated observability, and fast rollback across clouds.

Model CI/CD with approvals & policy gates
Automated evaluations, bias checks, and QA packs
Realtime telemetry across performance, latency, and cost
IaC-managed clusters with blue/green deployments
Self-service workbench for data scientists

Traditional Deployments

Manual scripts, ticket-driven releases, and limited visibility increase risk and slow innovation.

Manual model promotion steps
Limited monitoring & reactive troubleshooting
Security handled after deployment
Inconsistent infra across teams
Slow recovery from failed releases

Choose the Right MLOps Approach

Let our experts help you determine the optimal MLOps strategy for your specific use case.

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MLOps & AI Infrastructure Architecture

From data pipelines to governance, Mobiloitte orchestrates every layer for scalable AI operations.

Data Pipeline Layer

Data ingestion, Feature engineering, Data validation

Training & Experimentation

Jupyter / SageMaker / Vertex, AutoML / Distributed training, Experiment tracking

Model Registry & Versioning

MLflow | DVC | W&B | Feast

Deployment Layer

Kubernetes, Serverless, Edge deployment, API gateway

Monitoring & Observability

Drift detection, Performance monitoring, Security monitoring

Automated Retraining & Governance

Compliance, Feedback loop, Auto update scheduler

AI + Blockchain Synergy

Secure, auditable, and autonomous AI operations

Combine AI-driven intelligence with blockchain-backed trust to secure model identity, create immutable logs, trigger smart contracts, and enable federated learning governance.

What this layer guarantees

Tamper-proof model audit logs and versioning.
Real-time auditability across multi-party workflows.
On-chain access control for model governance.

Immutable model audit logs

Store model decisions & versions on blockchain.

On-chain access control for models

Trusted identity management.

Smart contract-based billing

Pay-per-inference metering on blockchain.

Federated learning governance

Distributed learning + decentralized audit.

Platform Integrations

AI Powered Platform Integrations

Seamlessly connect with 100+ tools and platforms your team already uses for unified collaboration and enhanced productivity.

AWS · Azure · GCP

Cloud infrastructure, AI services, and serverless deployments

MLflow · Kubeflow

Model registry, experiment tracking, and pipeline orchestration

Neptune · W&B · Feast

Experiment tracking, feature stores, and model monitoring

DVC · Airflow

Data versioning and workflow orchestration

Argo · Prefect · Dagster

Pipeline orchestration and workflow automation

Docker · Kubernetes

Containerization and container orchestration

Helm · Terraform

Infrastructure as code and deployment automation

Prometheus · Grafana

Metrics collection, monitoring, and observability dashboards

Need a Custom Integration?

Don't see your platform? We can build custom integrations for any tool or system your team uses.

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Enterprise-Grade Security & Compliance

Safeguard your AI products with secure architecture, encrypted data paths, and governance aligned with SOC 2, ISO 27001, GDPR, and industry-specific compliance.

Secure AI Model Deployment

Private cloud and on-premise deployments with encrypted model storage and inference endpoints.

Data Privacy & Encryption

End-to-end encryption, data anonymization, and privacy-preserving AI techniques for sensitive data.

Access Control & RBAC

Role-based access control, API authentication, and fine-grained permissions for product features.

Compliance & Audit Logs

Comprehensive audit trails, compliance reporting, and automated compliance checks for regulated industries.

Secure API Gateway

API rate limiting, authentication, authorization, and threat detection for all product endpoints.

Incident Response

Automated security monitoring, threat detection, and incident response playbooks for rapid remediation.

Ready to Secure Your AI Product?

Let's design enterprise-grade security guardrails that protect your AI models and data without slowing innovation.

Get Security Assessment

ROI Metrics

Value Propositions

Reference outcomes from deployments of Mobiloitte's MLOps & AI Infrastructure.

70%

70% Reduction in AI Deployment Time

Automated pipelines accelerate model deployment from months to weeks.

Zero

Zero Model Chaos

Centralized registries eliminate version conflicts and deployment errors.

24/7

Continuous Improvement

Automated retraining keeps models accurate as data evolves.

100%

Better Security & Compliance

Enterprise-grade governance aligned with SOC 2, GDPR, HIPAA.

Transformation Stories

MLOps Success Stories

See how enterprises scale AI operations with Mobiloitte's MLOps infrastructure.

Global Financial Institution

Enterprise Client

Global bank deployed 200+ production models with automated retraining, drift detection, and SOC 2 compliance across private cloud infrastructure.

200+ models in production99.9% uptime

Healthcare Provider

Enterprise Client

Healthcare provider modernized AI stack with HIPAA-compliant MLOps, reducing deployment time by 70% and enabling rapid model iteration.

70% faster deploymentHIPAA compliant

Ready to Create Your Success Story?

Join our growing list of successful enterprises who have transformed their AI operations with Mobiloitte's MLOps infrastructure.

Start Your Journey

MLOps & AI Infrastructure FAQs

Fast answers to the most common questions about Mobiloitte MLOps & AI Infrastructure.

What is MLOps?

It's the engineering practice of automating the entire AI/ML lifecycle.

Do you support LLMOps?

Yes — full support for LLM observability, caching, routing, optimization.

Do you provide GPU setup?

Yes — both cloud GPUs & on-prem compute clusters.

Do you manage data pipelines too?

Yes — ingestion, validation, feature stores.

Do you support hybrid (AI + blockchain) audit logs?

Yes — for compliance & provenance.

Can you deploy AI models on-premise?

Yes — ideal for BFSI, healthcare, government.

Can this reduce AI costs?

Yes — through quantization, routing, caching & infra optimization.

Can you monitor multiple models together?

Yes — unified model monitoring dashboards.

Do you set up automated retraining?

Yes — with drift triggers & scheduled workflows.

Can Mobiloitte maintain our AI stack long-term?

Yes — we offer managed AI infrastructure.

Make Your AI Stable, Reliable & Enterprise-Grade

Let our experts engineer, deploy, and manage your AI models at scale.

Request MLOps Demo Book Infra Assessment

Enterprise-grade guardrails, measurable AI uptime