AWS Bedrock gives you Claude, Llama, Mistral and Amazon models behind one API inside your AWS account.
Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.
In short
What we build
Question answering over documents in S3, with retrieval tuned so the right passages come back, not just similar-sounding ones.
Task agents that call Lambda functions and internal APIs, with IAM keeping each tool to the access it needs.
Different models for different jobs, such as a cheap fast model for classification and a stronger one for reasoning, all through the same Bedrock setup.
Large back-catalogues of documents processed in batch jobs rather than one slow call at a time.
Fit
Process
Enable the right models in the right region and set IAM boundaries before writing code.
We compare two or three models on your actual examples, looking at accuracy, speed and cost together.
Sprints with a fixed evaluation set and cost tracking from the start.
CloudWatch dashboards, alerts and a runbook your team can use after handover.
Pitfalls
We have seen these enough times to plan around them from the start.
Next step
Want to see similar work? Browse our case studies or tell us what you are working on.
FAQ
Bedrock offers models from Anthropic, Meta, Mistral, Amazon and others. Availability differs by region, so we check what your region supports first.
Bedrock processes requests within AWS and, per AWS, does not use your prompts or outputs to train the base models. We design the network and IAM setup so data stays where your policies need it.
Knowledge Bases are quick to start with and fine for many cases. When retrieval quality matters a lot, we often build a custom pipeline with our own chunking and reranking.
Yes. We usually work in a dedicated environment within your organisation and hand everything over as infrastructure as code.
Keep reading
Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.