Absolutely not. We build exclusively on Amazon Bedrock and private VPC environments. Your data remains isolated within your AWS account and is never used to train foundational models (like Claude or Titan)

We implement RAG (Retrieval-Augmented Generation) pipelines. This means the AI is grounded in your actual documents and data, not just general knowledge. We also configure Bedrock Guardrails to block off-topic or unsafe responses.

We optimize costs by using 'Small Language Models' (SLMs) for routine tasks and reserving large models only for complex reasoning. We also implement caching and token-usage monitoring to prevent billing spikes.

Yes. Our engineers are 50% AI Experts and 50% Data Engineers. We will build the necessary ETL pipelines to clean, chunk, and index your messy data into OpenSearch Vector so the AI can use it effectively.

Yes. You retain 100% ownership of all code, fine-tuned models, and prompt engineering libraries we develop. We work as an extension of your team, not as a vendor holding your IP hostage.

Typically, we deploy a functional Proof of Concept (POC) in 2-3 weeks. Since we use pre-built AWS infrastructure templates (Terraform), we skip the setup phase and go straight to value generation.