AI Services
Cut through the AI hype with a partner who helps you identify what to build, brings it to life fast, and makes sure it sticks. From MVP to enterprise-scale rollout, we engineer for value, speed, and adoption.
Solving Today's Business Challenges with AI


AI-Enabled Engineering
Accelerate delivery, reduce rework, and code with confidence using AI-enabled development workflows. Our AI-enabled workflows embed intelligence across the lifecycle to help teams build faster, maintain standards, and scale development without friction or compromise.


Agentic AI
Design AI agents that reason, plan, and act autonomously. Unlike rule-based systems, they adapt in real time, use context to make strategic decisions, and solve complex business problems — powering proactive, self-improving automation across your operations.


Generative AI


Conversational AI


MLOps


Responsible AI
Our Approach


We evaluate potential use cases, align AI strategy with your business goals, and prioritize opportunities through collaborative workshops. Our process includes vendor selection, tech familiarization, roadmap creation, and a detailed assessment report with use case lists and business cases.



Building on the AI strategy and roadmap, we run pilot projects to validate use cases, define security needs, and document operational frameworks. We assess infrastructure and architecture readiness, laying the groundwork for seamless integration, scalability, and long-term success with structured, accessible custom data.



We identify, connect, and manage both historical and real-time data sources to prepare your LLM for intelligent action. By creating contextual awareness through structured data integration, we ensure the AI understands patterns, behaviors, and events — enabling accurate, timely responses and continuous learning within your workflows.



We design prompts, engineer economic token usage, and test LLM variants. Restrictions, A/B testing, and “used request–answer pair” analysis ensure a balance between speed, accuracy, and output reliability.



We embed AI into critical business processes with custom model triggers, smart AI agents, and human-in-the-loop checkpoints. Our approach supports real-time monitoring, auditing, and access to tools. This ensures transparent oversight, process continuity, and adaptive exception handling throughout your AI-enabled workflows.



We embed LLMs into enterprise architecture and governance frameworks — ensuring your systems evolve, not expire. From usage monitoring and data protection to model updates and cost control, we future-proof your AI to keep pace with innovation and avoid becoming legacy overnight.

Running AI Technology Assessment & Opportunity Scan
We evaluate potential use cases, align AI strategy with your business goals, and prioritize opportunities through collaborative workshops. Our process includes vendor selection, tech familiarization, roadmap creation, and a detailed assessment report with use case lists and business cases.

Executing Piloting & Integration
Building on the AI strategy and roadmap, we run pilot projects to validate use cases, define security needs, and document operational frameworks. We assess infrastructure and architecture readiness, laying the groundwork for seamless integration, scalability, and long-term success with structured, accessible custom data.

Preparing Custom Data & Connecting Live Data
We identify, connect, and manage both historical and real-time data sources to prepare your LLM for intelligent action. By creating contextual awareness through structured data integration, we ensure the AI understands patterns, behaviors, and events — enabling accurate, timely responses and continuous learning within your workflows.

Fine-Tuning & Complex Prompt Design
We design prompts, engineer economic token usage, and test LLM variants. Restrictions, A/B testing, and “used request–answer pair” analysis ensure a balance between speed, accuracy, and output reliability.

Integration in Complex Workflows
We embed AI into critical business processes with custom model triggers, smart AI agents, and human-in-the-loop checkpoints. Our approach supports real-time monitoring, auditing, and access to tools. This ensures transparent oversight, process continuity, and adaptive exception handling throughout your AI-enabled workflows.

Operationalizing & Institutionalizing AI at Scale
We embed LLMs into enterprise architecture and governance frameworks — ensuring your systems evolve, not expire. From usage monitoring and data protection to model updates and cost control, we future-proof your AI to keep pace with innovation and avoid becoming legacy overnight.

Industries We Serve

Banking & Financial Services
Banking & Financial Services
Enhance fraud prevention, automate decisions, and elevate service with secure, AI-driven financial intelligence.

Healthcare & Life Sciences
Healthcare & Life Sciences
Improve diagnostics, streamline care, and accelerate research through predictive analytics and AI-powered automation.

Hi-Tech Services
Hi-Tech Services
Accelerate development cycles and ensure quality with AI-powered automation, real-time testing, and intelligent debugging.

Retail & Consumer Goods
Retail & Consumer Goods
Deliver hyper-personalized experiences, streamline supply chains, and boost conversions with real-time insights and predictive AI.

Travel & Hospitality
Travel & Hospitality
Personalize journeys, automate operations, and forecast demand with AI for smoother, more memorable travel experiences.

Automotive & Manufacturing
Automotive & Manufacturing
Boost efficiency, predict failures, and optimize output with AI-driven automation and real-time production intelligence.
Hello World
Why Choose Ciklum for AI Services?

Engineered for Outcomes, Not Hype
We won’t sell you AI unless it solves something real. We start by understanding your business goals, then build AI solutions that deliver measurable impact – whether that’s reducing cost, increasing speed, or driving smarter decisions.

AI That Fits Your Business
We know your business and we can leverage that. No off-the-shelf models here. We design AI around your industry, your data, and your business workflows. That’s how we help you move faster, operate leaner, and deliver what your customers actually need.

Experts You Can Actually Talk To
Work with engineers, data scientists, and AI strategists who speak your language – not just code. You get deep tech expertise without the ego, and solutions built around what works, not what’s trending.

Responsible by Default
We build AI you can trust – ethically sound, globally compliant, and transparent from the start. From bias mitigation to EU AI Act readiness, we help you move fast without cutting corners.
What our customers say
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Our Success Stories
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FAQs on AI Services
Yes. We build AI solutions that are fully aligned with your business objectives, proprietary data, and operational workflows. Once we identify the highest-impact use cases, we run focused discovery sprints to validate feasibility, then rapidly develop and train models tailored to your specific goals. User feedback loops, built into the prototyping phase — ensure solutions are relevant, effective, and embraced by teams. We emphasize measurable outcomes from the outset, helping you maximize the ROI of your AI investment while maintaining alignment with broader digital transformation goals.
We always begin with an assessment of your technical requirements, business objectives, and data sensitivity. From there, we recommend one of two routes: (1) fine-tuning powerful proprietary models (like GPT or Claude) via APIs or private cloud instances, or (2) customizing smaller, open-source or distilled models (e.g., LLaMA, DeepSeek) hosted in your own environment for greater control. In both cases, we tailor models using your data, ensure privacy through secure infrastructure, and often implement Retrieval-Augmented Generation (RAG) systems for contextual relevance. This approach ensures performance, security, and cost-effectiveness — without the need to build models from scratch.
We design integrations to be frictionless, secure, and future-ready. Our engineers work with your existing stack — CRM, ERP, APIs, data lakes, using modular architectures, cloud-native tools, and secure pipelines to avoid disruption. Whether hosted in the cloud or on-prem, every integration is scoped to fit your infrastructure and governed by strict access controls, encrypted communication, and compliance frameworks. We also focus on interoperability from day one, ensuring your AI systems not only connect seamlessly but also scale with your operations and data sources over time.
We architect AI systems for long-term sustainability by adopting a loosely coupled, modular design. This allows individual components, especially models to be swapped, updated, or scaled independently, which is critical given the rapid evolution of AI technologies. We support this flexibility with CI/CD pipelines, microservices, and full MLOps capabilities to automate deployment, testing, and retraining. All codebases are documented and version-controlled to reduce technical debt. This ensures your solution is not only performant on day one, but also remains adaptable and cost-effective as your needs and the AI landscape evolve.
Our monitoring framework combines real-time analytics, KPI tracking, and anomaly detection to ensure AI models continue performing as intended. For higher-stakes use cases, we embed “LLM as a judge” logic—where a separate AI system evaluates the output of the primary model — and escalate inconsistencies to a human in the loop. This layered oversight helps detect and respond to issues like model or concept drift before they impact outcomes. We also maintain retraining pipelines and version control so models can be iteratively improved with fresh data, ensuring sustained accuracy, business relevance, and compliance.
Let's talk about transforming your business, with no strings attached
