AI Consultant

Custom AI development involves creating AI models and systems specifically designed for your business needs. This includes fine-tuning existing models on your data, building RAG systems with your documents, and developing AI workflows that integrate seamlessly with your existing processes.

RAG is ideal when you need AI to access and reason over large, frequently updated knowledge bases or documents. Fine-tuning is better when you need to change the model's behavior, style, or reasoning patterns for specific tasks. Often, a combination of both approaches yields the best results.

Implementation timelines vary significantly based on complexity. Simple RAG systems can be deployed in days, while custom model training and enterprise integrations typically take weeks to months. The timeline depends on data preparation, model complexity, and integration requirements.

Data requirements depend on your use case. For RAG systems, you need relevant documents or knowledge bases. For fine-tuning, you need examples of inputs and desired outputs. I help assess your existing data and recommend strategies for data collection and preparation.

Data security is non-negotiable. I employ a multi-layered security strategy, including end-to-end encryption, strict access controls, and compliance with data protection regulations like GDPR and CCPA. For maximum security, solutions can be deployed within your own cloud environment (VPC), ensuring your data never leaves your control. Your data privacy and security are my absolute top priority.

ROI measurement depends on your specific use case but typically includes metrics like time savings, accuracy improvements, cost reduction, and increased throughput. I help establish baseline metrics and tracking systems to demonstrate clear business value.

Yes, AI solutions benefit from ongoing monitoring and optimization. This includes performance tracking, model updates, data refreshes for RAG systems, and adapting to changing business needs. I provide maintenance plans tailored to your requirements.

The right approach depends on your specific use case, data availability, performance requirements, and budget. I conduct thorough assessments to recommend the optimal combination of models, architectures, and implementation strategies for your needs.

Absolutely. I design AI architectures with scalability in mind, using cloud-native technologies and modular designs that can handle increased load and evolving requirements as your business grows.