AWS AI & Machine Learning Services. From Prototype to Production AI in 30 Days

We work across the full AWS AI/ML stack. Amazon Bedrock for foundation models (Claude, Titan, Llama, Stable Diffusion), SageMaker for custom model training and deployment, and managed AI services like Comprehend, Rekognition, Textract, Polly, Transcribe, and Lex. We pick the right service based on your use case, budget, and latency requirements rather than defaulting to the most expensive option.

A production-grade AI system typically takes 4-8 weeks depending on complexity. Simple RAG pipelines or document processing workflows ship in 2-4 weeks. Custom model fine-tuning with evaluation pipelines takes 4-6 weeks. Full end-to-end AI applications with guardrails, monitoring, and A/B testing take 6-8 weeks. We scope everything upfront so there are no surprises.

Yes, RAG (Retrieval-Augmented Generation) is one of our core specialties. We build production RAG pipelines using Amazon Bedrock Knowledge Bases, OpenSearch Serverless for vector storage, and custom embedding pipelines. We handle document ingestion, chunking strategies, embedding generation, vector indexing, and retrieval optimization. Most RAG pipelines ship in 3-4 weeks.

Our Bedrock consulting covers model selection (choosing between Claude, Titan, Llama, and others based on your needs), prompt engineering and optimization, guardrails configuration to prevent harmful outputs, knowledge base setup for RAG, fine-tuning with your domain data, and production deployment with monitoring. We also optimize for cost, helping you pick the right model size to avoid overpaying.

Yes. We fine-tune models on SageMaker when off-the-shelf foundation models do not meet your accuracy or domain requirements. This includes data preparation, training pipeline setup, hyperparameter tuning, model evaluation, and deployment with A/B testing. We also fine-tune Bedrock-supported models like Titan and Llama when lighter customization is sufficient.

Projects typically range from $15,000 to $80,000 depending on scope. A focused RAG pipeline or document processing workflow starts around $15,000-25,000. Custom model training with fine-tuning runs $30,000-50,000. Full AI platform builds with multiple models, monitoring, and guardrails are $50,000-80,000. We provide fixed-price quotes after a scoping call so you know the total cost before we start.