You already run workloads on AWS, or can provision an AWS account for this project.
Deploy secure AI agents inside your AWS account
A production-ready foundation (auth, chat UI, RAG, agent runtime, observability) — deployed in under an hour.
- Your data stays in your VPC. You pay AWS directly. Extend with new agents, tools, and workflows over time.
- Scaffold deployed in under an hour. First custom enterprise agent delivered in 2–8 weeks (depending on integrations and scope).
Is The Agent Within a fit for you?
We’re a good fit if:
You need data and security to stay inside your own cloud environment / VPC.
You need GenAI in weeks, not a 6–12 month build.
“The Agent Within” is multi-model by design – it runs on Amazon Bedrock and can optionally call out to other APIs (such as OpenAI) through the same agent runtime, so your team isn’t locked into a single model choice.
(Optional) Swap “Amazon Bedrock” / “OpenAI” for your exact stack and link to docs if you want. Talk to us.
What you get out of the box
A production-grade agent backbone deployed in under an hour — not months of platform work.
Shippable scaffold
Auth, chat UI, RAG, agent runtime, data storage, and logging wired together.
Runs in your AWS account
S3, RDS/Aurora, EC2, Bedrock usage & logs live in your environment; you pay AWS directly.
Extend over time
Add new agents, tools, and workflows without rebuilding the platform.
Avoid bespoke builds
Use a proven AWS-native architecture instead of hiring a full platform team from scratch.
Want the full breakdown of what’s included?
See what’s included on day one → Product
Key use cases
Pick a starting point, then extend over time.
Internal knowledge assistant
Help employees self-serve answers from policies, SOPs, docs, and training content.
Learn more →Customer support copilot / chatbot
Answer routine questions from your KB or assist human agents with the right steps.
Learn more →Complex pay & policy audit agents
Explain and audit statements in plain language when contracts and rules get complex.
Learn more →Custom department-specific agents
HR, finance, operations, IT — calling your internal systems through a reusable runtime.
Learn more →How it works (at a glance)
Getting to a working, secure agent in your own AWS account is a structured, short project — not a multi-year platform build.
Today we deploy into AWS; support for additional clouds is on our roadmap. If you’re primarily on another provider, talk to us and we’ll explore options.
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We deploy The Agent Within into your AWS account.
We set up the scaffold using Cognito, S3, CloudFront, API Gateway, Lambda/EC2, Bedrock, Aurora + pgvector, and your VPC.
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We connect your data sources and configure base agents.
We link internal docs/data, configure RAG, and ship your first working agent (e.g., a knowledge assistant, pay audit agent, or another agent tailored to your business needs).
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We extend with custom agents and workflows as needed.
Add tools, integrations, and department-specific agents on the same runtime — without rebuilding the platform.
Runs in your AWS account.
You own the data and infrastructure. Docs, embeddings, chat history, and config stay in your environment.
- Private networking options
- IAM-aligned access controls
- Audit-friendly observability
Trust, data ownership & architecture snapshot
Built on standard AWS building blocks, deployed into your account, and aligned to sane security defaults.
Runs in your AWS account.
Your data and AWS infrastructure stay in your account. Documents, embeddings, chat history, and configuration do not leave your environment. Our platform components run under a subscription license.
AWS-native architecture.
Built around Cognito, S3, CloudFront, API Gateway, Lambda, EC2, Bedrock, Aurora pgvector, VPC, and standard IAM.
Clear commercial model.
You pay AWS directly for infrastructure (EC2, RDS, S3, Bedrock, etc.). We provide licensed software, updates, and support on top.
Talk to someone who understands both AWS and your business
Whether you’re a non-technical decision maker or a technical lead, we’ll map exactly how The Agent Within lands in your environment.
- What you can ship in the first 2–8 weeks (depending on integrations).
- How it plugs into your current AWS setup and data sources.
- When to use our team vs. your developers for extensions.