AWS Consulting · Portland, ME
AWS AI & ML
Ship production AI on AWS with guardrails, sensible architecture, and costs you can explain to finance.
Portland, ME · AWS consulting for New England
How we help
- Amazon Bedrock pilots, model selection, and responsible-AI guardrails
- RAG and knowledge bases with OpenSearch, Kendra, and S3 data pipelines
- SageMaker for custom models, training pipelines, and MLOps baselines
- Inference cost control, encryption, and access policies for production workloads
Frequently asked questions
- Can you build a private ChatGPT-style tool on AWS?
- Yes. We typically start with Amazon Bedrock and RAG over your documents in S3 or OpenSearch, with encryption, access policies, and cost caps leadership can approve.
- How do you control generative AI costs on AWS?
- We set inference limits, choose models appropriate to the task, monitor usage, and design architectures finance can forecast—not open-ended API spend.
- Do you only do pilots or production deployments?
- Both. We favor a short pilot to prove value, then a documented path to production with security and MLOps baselines your team can operate.
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