Do you start with a proof of concept?
Always. We have never had a generative AI engagement benefit from skipping it. The point is to find out whether the idea survives contact with your actual data.
How long does delivery take?
A project with a small knowledge base can be completed in about seven days. A large knowledge base is around a month. Genuinely complex custom requirements take longer than a month.
Where does our data go?
Nowhere. The workload runs on Amazon Bedrock inside your own AWS account, under your IAM and network controls. The knowledge base is not copied to us.
Which models do you use?
Whichever suits the workload — Anthropic Claude, Meta Llama, Mistral, Amazon Titan, Stability AI — rather than a house preference. Custom models where the domain genuinely needs one.
Where is generative AI worth the money?
Where the bottleneck is reading, writing or finding something: document generation, knowledge retrieval, customer support, content, and predictive maintenance on industrial telemetry.