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.
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
Move ML from experiment to production with production-ready, reliable pipelines.
Cost-Aware Inferencing
Reduce inference cost with prompt design, hybrid architectures, and efficient models.
Toolchain Flexibility
Choose vendor-agnostic tools and frameworks so your stack stays future-ready.
Business-Driven Use Cases
Align every model with business value - not just tech trends or novelty.
Governance & Compliance
Built-in privacy, audit trails, and policy enforcement from Day One.
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
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01
Initializing Discovery & Problem Framing
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Data Assessment & Architecture Planning
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Defining Model Strategy & Prototyping
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Laying MLOps Foundations
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Training, Tuning & Validation
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Deploying into Live Environments
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Feedback Loops & Scaling
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
Assess data, integrations, and metadata to design scalable ML-ready pipelines with clear architecture and ontology.
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
Turn experiments into repeatable engineering with CI/CD, version control, and metadata frameworks for reliability.
Training, Tuning & Validation
Tune and test models with controlled evaluations to ensure fairness, accuracy, and readiness for production use.
Deploying into Live Environments
Transition pilots to production with refined pipelines, integrations, and updates for smooth, scalable deployments.
Feedback Loops & Scaling
Embed monitoring and iteration loops post-deployment to scale confidently without losing performance or compliance.
Industries We Serve
Retail & Consumer
Deploy ML for recommendations, pricing, and forecasting with compliance-ready pipelines that cut time-to-value.
Learn MoreHealthcare & Life Sciences
Secure, compliant MLOps powers diagnostics, risk scoring, and treatment planning with reliable, explainable AI.
Learn MoreHi-Tech
Accelerate innovation with CI/CD pipelines, LLMOps, and governance for scalable, stable ML deployments.
Learn MoreTravel & Hospitality
Enable adaptive retraining, real-time tracking, and scalable AI to predict trends and personalize travel offers.
Learn MoreBFSI
Deploy fraud detection, credit scoring, and segmentation models with MLOps built for compliance and ROI.
Learn MoreAutomotive & Manufacturing
Ensure predictive maintenance and supply chain forecasting with MLOps that minimize downtime and scale AI.
Learn MoreWhy Choose Ciklum for MLOps Services?
Proven MLOps Expertise
Production-grade ML systems built stable, compliant, and scalable.
Full-Stack Delivery Insight
Integrated MLOps teams across ML, DevOps, data, and cloud.
Impact Beyond Models
MLOps aligned with business goals to cut cost and risk.
Vendor-Agnostic Guidance
Up-to-date, delivery-tested support for tools and deployment.
How We Build Products that Outlast Trends
We design MLOps pipelines that scale with demand, adapt to data shifts, and stay production-ready through monitoring, automation, and governance.
Powered by our Incredible Partners
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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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
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Advancing Telemedicine with Scalable DevSecOps and AI-Driven Automation
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