MLOps Services

Operationalize AI with Scalable MLOps Services

Build scalable, cost-efficient, and production-ready AI systems by embedding full-stack teams with real-world MLOps expertise.

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Deploy Explainable,
Cost-Efficient AI

We embed governance, scalability, and efficiency into every MLOps workflow, so your AI delivers measurable value, not just prototypes.

Scale Models Safely

Scale Models Safely

Move ML from experiment to production with production-ready, reliable pipelines.

Cost-Aware Inferencing

Cost-Aware Inferencing

Reduce inference cost with prompt design, hybrid architectures, and efficient models.

Toolchain Flexibility

Toolchain Flexibility

Choose vendor-agnostic tools and frameworks so your stack stays future-ready.

Business-Driven Use Cases

Business-Driven Use Cases

Align every model with business value - not just tech trends or novelty.

Governance & Compliance

Governance & Compliance

Built-in privacy, audit trails, and policy enforcement from Day One.

Optimize Performance

Optimize Performance

Balance cost, speed, and scale using infrastructure aware deployment options.

From Models to Impact

Our Services Playbook

Assess your machine learning maturity and optimize processes, improving reliability, and delivering accurate predictions through MLOps.

Choose Optimal Architecture

Benchmark LLMs, APIs, and open-weight models to ensure performance, efficiency, and domain alignment.

Control Inference Costs

Use smart prompts, hybrid architectures, and optimization to cut API overuse and stabilize GenAI costs.

Navigate LLMOps & AgentOps

Adopt modular stacks with stable tools like LangChain and n8n to stay agile and avoid lock-in.

Select Lasting Tools

Pick platforms with proven reliability, mature ecosystems, and sustainable roadmaps for long-term success.

Align AI to Business

Turn goals into AI use cases, ensuring data readiness, solution fit, and measurable business impact.

Build Production Pipelines

Design CI/CD workflows with rollback, validation, and monitoring to keep ML systems reliable and secure.

Optimize AI Performance

Balance performance and cost by simulating cloud, edge, GPU, or hybrid strategies for deployment.

Ensure AI Governance

Enforce data privacy, policies, and compliance with GDPR, HIPAA, and audit-ready ML pipelines.

Our Approach

  • 01

    Initializing Discovery & Problem Framing

  • 02

    Data Assessment & Architecture Planning

  • 03

    Defining Model Strategy & Prototyping

  • 04

    Laying MLOps Foundations

  • 05

    Training, Tuning & Validation

  • 06

    Deploying into Live Environments

  • 07

    Feedback Loops & Scaling

Initializing Discovery & Problem Framing

Initializing Discovery & Problem Framing

Clarify goals, define success, and identify impactful AI use cases to start MLOps with focus and eliminate uncertainty. 

Data Assessment & Architecture Planning

Data Assessment & Architecture Planning

Assess data, integrations, and metadata to design scalable ML-ready pipelines with clear architecture and ontology.

Defining Model Strategy & Prototyping

Defining Model Strategy & Prototyping

Select the right model for cost and fit, then validate with quick prototypes to reduce risk and prove feasibility.

Laying MLOps Foundations

Laying MLOps Foundations

Turn experiments into repeatable engineering with CI/CD, version control, and metadata frameworks for reliability.

Training, Tuning & Validation

Training, Tuning & Validation

Tune and test models with controlled evaluations to ensure fairness, accuracy, and readiness for production use.

Deploying into Live Environments

Deploying into Live Environments

Transition pilots to production with refined pipelines, integrations, and updates for smooth, scalable deployments.

Feedback Loops & Scaling

Feedback Loops & Scaling

Embed monitoring and iteration loops post-deployment to scale confidently without losing performance or compliance.

Why Choose Ciklum for MLOps Services?

Proven MLOps Expertise

Proven MLOps Expertise

Production-grade ML systems built stable, compliant, and scalable.

Full-Stack Delivery Insight

Full-Stack Delivery Insight

Integrated MLOps teams across ML, DevOps, data, and cloud.

Impact Beyond Models

Impact Beyond Models

MLOps aligned with business goals to cut cost and risk.

Vendor-Agnostic Guidance

Vendor-Agnostic Guidance

Up-to-date, delivery-tested support for tools and deployment.

Powered by our Incredible Partners

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boostai

Powering Global Growth with AI

Enterprises worldwide rely on our MLOps to modernize systems, stop drift, and scale deployments that unlock measurable value across every sector.

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development centers

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offices globally

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IT professionals

Success Stories

Leaders trust us to take AI from POC to production - accelerating fraud detection, powering predictive maintenance, and delivering ROI at scale.

Achieved 30% Revenue Growth by Automating Property Listing and Auction System

Achieved 30% Revenue Growth by Automating Property Listing and Auction System

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Advancing Telemedicine with Scalable DevSecOps and AI-Driven Automation

Advancing Telemedicine with Scalable DevSecOps and AI-Driven Automation

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Augmented Reality in Academia: An In-Depth Case Study on Educational Innovation

Augmented Reality in Academia: An In-Depth Case Study on Educational Innovation

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