AIOps
From Experimentation to Production-Ready AI
Build scalable, cost-efficient AI systems with full-stack teams experienced in delivering and maintaining production-grade
AI across industries.
Deploy Explainable, Cost-efficient AI
We don't just optimize models. We optimize outcomes. Our AIOps approach embeds governance, visibility, and cost control into every workflow so your AI delivers measurable business value, not just prototypes.
Scale Models Safely
Move Jupyter notebooks to production with repeatable, version-controlled pipelines built for reliability at scale.
Cost-aware Inferencing
Optimize token budgets and inference costs with smart prompts, hybrid architectures, and model selection strategies.
Toolchain Flexibility
Navigate the rapidly evolving ecosystem with vendor-agnostic guidance based on real-world delivery, not hype.
Business-driven Use Cases
Align every model with real business value. We help reject premature AI when simpler solutions offer better ROI.
Governance & Compliance
Built-in privacy, audit trails, GDPR, HIPAA compliance, and policy enforcement from Day One.
Optimize Performance
Balance cost, latency, and scale with infrastructure-aware deployment, whether serverless, GPU, edge, or hybrid.
From Models to Impact
Our Services Playbook
Assess your AI maturity and optimize processes. We bring field-tested AIOps strategies
designed to work in production, not just in theory.
Choose Optimal Architecture
Benchmark LLMs, APIs, and open-weight models based on performance, latency, licensing, and cost.
Control Inference Costs
Optimize token budgets with prompt engineering, hybrid models, and RAG to keep GenAI costs predictable.
Navigate LLMOps & AgentOps
Guide through tools like LangChain and n8n, distinguishing stable from experimental to avoid lock-in.
Select Lasting Tools
Validate platform reliability, ecosystem maturity, and roadmap sustainability before committing.
Align AI to Business
Reframe business needs into solvable AI problems, ensuring data readiness and measurable impact.
Build Production Pipelines
Design CI/CD for AI with versioning, automated testing, rollback, and shadow deployment strategies.
Optimize AI Performance
Simulate cloud, edge, GPU, or hybrid strategies to find the right performance-to-cost ratio.
Ensure AI Governance
Enforce data privacy, anonymization, and compliance with GDPR, HIPAA, and internal policies.
Our Approach
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01
Discovery & Problem Framing
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02
Data Assessment & Architecture Planning
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03
Model Strategy & Prototyping
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04
Laying AIOps Foundations
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Training, Tuning & Validation
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06
Deploying into Live Environments
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07
Feedback Loops & Scaling
Discovery & Problem Framing
Work with stakeholders to reframe business needs into solvable AI problems, aligning data availability with model capability and real value generation.
Data Assessment & Architecture Planning
Assess data, integrations, and metadata to design scalable AI-ready pipelines with clear architecture, ontology, and feature store design.
Model Strategy & Prototyping
Evaluate and benchmark models, from fine-tuned open-weight LLMs to closed-source APIs, based on domain fit, licensing, and inference cost.
Laying AIOps Foundations
Define repeatable, version-controlled pipelines with standardized environments for reproducibility, model testing, and validation frameworks.
Training, Tuning & Validation
Tune and test models with controlled evaluations, ensuring fairness, accuracy, explainability, and readiness for production use.
Deploying into Live Environments
Transition pilots to production with refined pipelines, blue-green rollouts, shadow deployments, and integrated regression testing.
Feedback Loops & Scaling
Embed observability, drift detection, and automated retraining workflows, enabling safe scaling with full visibility and control.
Why Choose Ciklum for AIOps Services
Cross-Industry AIOps Experience
Full-stack teams with hands-on experience building production-grade AI systems across fintech, retail, healthtech, and logistics.
Full-Stack Artificial Intelligence Delivery
Integrated teams covering AI, DevOps, backend, data, and architecture for seamless prototype-to-production delivery.
Business Value, Not Just Models
We optimize outcomes, not vanity metrics. Every engagement starts with understanding the business case and mapping it to AI strategy.
Trusted Guidance in a Changing Landscape
Vendor-agnostic advice on models, inference costs, and infrastructure based on delivery experience, not hype.
Industries We Serve
Banking & Financial Services
Fraud detection, credit scoring, and segmentation models with AIOps built for compliance, auditability, and ROI.
Retail & Consumer
AI for recommendations, pricing, and forecasting with cost-optimized pipelines that cut time-to-value significantly.
Healthcare & Life Sciences
Secure, compliant AIOps for diagnostics, risk scoring, and treatment planning with reliable, explainable AI.
Hi-Tech
CI/CD pipelines, LLMOps, and governance for scalable AI deployments that accelerate innovation with control.
Automotive & Manufacturing
Predictive maintenance and supply chain forecasting with AIOps that minimize downtime and scale safely.
Travel & Hospitality
Adaptive retraining, real-time tracking, and scalable AI to predict trends and personalize offers at scale.
Powered by our Incredible Partners
Powering Global Growth with AI
Organizations around the globe trust our AIOps expertise to modernize legacy platforms, prevent model drift, and scale AI deployments, unlocking real business outcomes in every industry.
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offices globally
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Success Stories
Organizations rely on us to operationalize AI at scale, moving quickly from proof-of-concept to production,
driving measurable impact in areas like fraud detection, predictive maintenance, and business growth.
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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Augmented Reality in Academia: An In-Depth Case Study on Educational Innovation
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