Agents that run inside your account
Technology
Enterprise AI rarely stalls on the model. It stalls because the model lives somewhere the business is not allowed to put its data.
Building on AWS moves that problem. The agent deploys into your account, your VPC, and your existing services, under the controls your security team already approved.
Why
Why we build agents on AWS
- Bedrock trails the model vendor's own API
Bedrock's model availability lags the vendor's own API, so a model can sit out for weeks before it reaches Bedrock. Running inside a client account also means owning the observability stack instead of having it handed to you.
- One vendor covers the whole agent stack
Bedrock for models, Connect and Lex for voice, AgentCore and Strands for orchestration, all inside infrastructure you already run. The breadth means fewer vendors to onboard and fewer integration seams between the pieces of an agent.
- AgentCore and Strands for orchestration
We started on LangChain and moved when AgentCore arrived. Built in memory management simplified session handling, and tighter integration with Connect, Lambda, and DynamoDB left us less to maintain ourselves.
- The data does not leave
Agents deploy inside your AWS account or VPC. When sovereignty, latency, or cost rule out a hosted model altogether, we fine tune open source models and run them on your own GPUs.
