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, without onboarding a new vendor
Claude and open models reached through infrastructure your organization has already cleared. For a lot of enterprises that is the difference between a project that starts and one that sits in review.
- Connect and Lex for voice
Voice AI layered onto the contact center you already run instead of replacing it. The phone system stays, the existing APIs stay, the AI layer fits between them.
- 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.
