AI & ML – Agentic & RAG Systems

Cublick Digital’s AI & Machine Learning Solutions turn cutting-edge technology into practical business tools. We don’t just implement AI—we build custom solutions that solve your specific challenges, integrate seamlessly with your operations, and deliver measurable results.

Whether you need to leverage large language models, develop custom machine learning algorithms, implement computer vision systems, or create voice-enabled applications, our team of AI engineers and data scientists has the expertise to bring your vision to life.

Platform-Agnostic Approach

We work with the best AI models for your specific needs—OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini, Meta’s Llama, or custom-trained models. You’re never locked into a single platform. We evaluate your requirements, recommend the optimal technology stack, and integrate multiple AI systems when beneficial.

Large Language Model (LLM) Integration

Harness the power of advanced language models for your business. We implement conversational interfaces, document analysis systems, content generation tools, code assistance platforms, and intelligent search solutions. Whether you need pre-trained models or custom fine-tuning, we deliver LLM systems that understand your domain and serve your specific use cases.

Custom Model Development

Sometimes off-the-shelf models aren’t enough. We develop custom machine learning models trained on your data, optimized for your specific tasks, and designed to run efficiently in your infrastructure. From predictive analytics and recommendation engines to anomaly detection and classification systems—we build models that solve your unique challenges.

Retrieval-Augmented Generation (RAG)

Combine the intelligence of large language models with the accuracy of your proprietary data. Our RAG systems allow AI to access and reason over your documents, databases, and knowledge bases—providing accurate, contextually relevant responses grounded in your organization’s information while preventing hallucinations and maintaining data security.

Computer Vision Applications

Deploy AI that sees and understands visual information. We develop object detection systems for quality control, image recognition for automated categorization, video analytics for behavior analysis, OCR for document digitization, and visual inspection systems for manufacturing. Real-time processing with accuracy that matches or exceeds human performance.

Voice AI and Speech Processing

Enable voice-enabled experiences. We implement speech-to-text systems for transcription and documentation, text-to-speech for natural audio generation, voice recognition for secure authentication, and conversational voice interfaces for hands-free interaction. Support for multiple languages and accents with natural, human-like quality.

Model Fine-Tuning and Optimization

Adapt powerful base models to your specific needs. We fine-tune language models on your domain-specific data, optimize models for faster inference and lower costs, compress models for edge deployment, and continuously refine performance based on real-world usage. Get the accuracy you need with the efficiency you want.

End-to-End MLOps

AI systems need ongoing management. We implement complete MLOps pipelines for automated model training and updates, continuous performance monitoring, data pipeline management, model version control, A/B testing frameworks, and automated retraining triggers. Your AI systems stay current and perform optimally without manual intervention.

Scalable Infrastructure

Deploy AI systems that grow with your business. We architect solutions that handle increasing data volumes, scale to support more users, maintain low latency under load, optimize resource utilization, and run cost-effectively. Whether you need cloud-based flexibility or on-premise control, we build infrastructure that supports your growth.

Explainable AI

Understand how your AI makes decisions. We implement interpretable models when needed, provide decision explanations and confidence scores, create visualization tools for model behavior, and ensure compliance with regulatory requirements. Trust your AI systems with transparency and accountability.

Security and Privacy

Protect your data and your models. We implement secure API integrations, encrypt data in transit and at rest, ensure GDPR and privacy compliance, prevent model theft and adversarial attacks, and maintain complete audit trails. Enterprise-grade security built into every solution.

Multi-Model Integration – Work with GPT, Claude, Gemini, Llama, or custom models. Choose the best AI for each task without vendor lock-in. Seamless switching and combination of multiple AI systems.
Custom Model Development – Build machine learning models trained on your data and optimized for your specific use cases. Predictive analytics, recommendation engines, classification, and more.
RAG Systems – Combine LLM intelligence with your proprietary data. Accurate, contextual responses grounded in your organization’s knowledge without hallucinations.
Computer Vision & Voice AI – Deploy AI that sees, hears, and understands. Object detection, image recognition, video analytics, speech processing, and voice interfaces.
Complete MLOps Pipeline – Automated training, monitoring, deployment, and optimization. Your AI systems stay current and perform optimally with minimal manual intervention.

01. How do you decide which AI model or platform to use for my project?

We start by understanding your specific requirements: accuracy needs, response time expectations, data privacy requirements, budget constraints, and integration complexity. Then we evaluate available options—comparing pre-trained models, fine-tuned versions, and fully custom solutions. For example, if you need customer service automation with access to proprietary documentation, we might recommend a RAG system built on Claude with your knowledge base. If you need specialized classification of medical images, we’d develop a custom computer vision model. We always recommend the solution that delivers the best results for your specific use case and constraints, not the newest or most expensive technology.

02. What's the difference between using a pre-trained model and developing a custom model?

Pre-trained models (like GPT, Claude, Gemini) are trained on massive datasets and excel at general tasks—natural language understanding, general knowledge queries, common image recognition. They’re faster to deploy and often more cost-effective for standard use cases. Custom models are trained specifically on your data for your exact task. They’re better when you need specialized domain knowledge, have unique classification needs, require specific performance characteristics, or need to run in restricted environments. We often combine both approaches—starting with pre-trained models for general capabilities and adding custom models or fine-tuning for specialized tasks.

03. How long does it take to develop and deploy a custom AI solution?

Timeline varies based on complexity. Simple integrations—connecting your system to an existing LLM API—can be completed in 1-2 weeks. Mid-complexity projects—RAG systems, fine-tuned models, or basic computer vision applications—typically take 4-8 weeks including discovery, development, testing, and deployment. Complex custom solutions—multi-model systems, novel ML algorithms, or large-scale computer vision platforms—may take 3-6 months. We deliver in phases with working prototypes early so you can see progress and provide feedback throughout development.

04. What happens after deployment? Do AI systems need ongoing maintenance?

Yes, AI systems require ongoing maintenance for optimal performance. Model accuracy can drift as data patterns change, APIs and platforms release updates, user needs evolve, and new data becomes available. We implement monitoring to track performance metrics, alert on anomalies, and trigger retraining when needed. Most clients choose our managed service plans where we handle updates, performance optimization, troubleshooting, and continuous improvement. Alternatively, we can train your team to manage systems internally with our documentation and support.

05. How do you ensure my data stays secure and confidential?

Data security is built into every solution. For cloud-based deployments, we use encrypted connections, secure API authentication, and process data in isolated environments. Sensitive data is never logged or stored unnecessarily. For maximum security, we can deploy AI systems entirely on-premise where data never leaves your infrastructure. We implement role-based access controls, maintain audit logs, ensure compliance with GDPR and industry regulations, and sign NDAs covering all proprietary information. Additionally, when using third-party AI platforms, we configure them to prevent data from being used for model training or shared with other organizations.