No-code AI agent studio for AWS

Build AI agents. Run them in your own AWS account.

Agile teams design agents visually. INFRALESS deploys each one into your AWS account, next to your own data, under the governance and usage limits you already control.

Get early access → Book a demo

Your AWS account
Your data
Your controls
Any Bedrock model

INFRALESS Studio BuildDeployTraces Deploying

TRIGGERNew Slack message#customer-support

AGENTSupport CopilotClaude Sonnet · Bedrock

KNOWLEDGEProduct docsdocs-bucket · RAG

ACTIONEscalate to a humanJira ticket + Slack

Built on

Amazon BedrockBedrock AgentCoreStrands AgentsAWS CDKAWS LambdaStep FunctionsAmazon OpenSearchIAM

Why INFRALESS

Your agents run where your data and controls already are.

The agents that matter use customer records, documents and internal systems. INFRALESS keeps them in your own AWS account, not on a vendor's cloud.

Hosting

Hosted in your AWS account

Agents run on Bedrock AgentCore in your own account and region. Nothing runs on our cloud.

Data

Connected to your own data

Documents, databases, knowledge bases and internal APIs, used in place. No copies sent to a third party.

Governance

Your governance & control

Identity, IAM least privilege, guardrails and audit on every agent. Changes reviewed as pull requests.

Usage

Usage under your control

Limits and budgets that fit each team, with cost on your own AWS bill.

Migration

No more shadow agents

Agents your teams already run on outside platforms can move into your account, where IT can see and govern them.

How migration works →

Your account. Your data. Your controls. Zero infrastructure to build.

01 · YOUR AWS ACCOUNT
Agents run in your own AWS account.
Hosted on Bedrock AgentCore in your account and region, not on a vendor's cloud.
02 · YOUR DATA
Right next to your data.
Agents use your documents, databases and knowledge bases in place, without copying them to a third party.
03 · YOUR CONTROLS
Under your governance and usage controls.
Identity, IAM and guardrails on every agent, usage limits you set, plus traces and audit.

Two ways in

The agent studio for agile teams. Governed in your AWS account.

Wherever you are on your AI journey, every agent ends up in the same place: your AWS account, under your controls.

New to agents

Start your agentic journey from zero.

No platform team, no infrastructure to learn. Describe what you need and deploy it into your own account.

01Describe, drag or buildDescribe your agent in plain language, start from a boilerplate, or build from scratch.
02Configure on a visual canvasPick any Bedrock model, then add knowledge, tools, memory and guardrails.
03Deploy into your AWS accountAs AWS CDK code you own, with IAM least privilege by default.

Start building →

Already running agents?

Bring shadow agents inside AWS.

Agents your teams built on outside platforms, other clouds or personal scripts sit beyond IT's view. We help you move them into your AWS account.

third-party agent buildersautomation toolsother cloudsnotebooks & scripts

01Map what's runningList the agents your teams use and the data each one touches.
02Rebuild in the studioRecreate each agent in INFRALESS, with our team working alongside yours.
03Deploy and retireRun it in your account with IAM, guardrails and audit, then switch off the outside copy.

See if you qualify for a full assessment and AWS credits. Reach out before you migrate: your project may qualify for a full assessment, migration support and AWS credits. A product of Assembly Cloud Solutions · AWS Advanced Partner · GenAI & Migration

Check if you qualify →

What you can build

Simple agents and complex agentic systems. One studio.

Some jobs need one agent with the right knowledge and tools. Others need several agents orchestrated across systems and teams. INFRALESS covers both, across industries.

Simple agents

One agent, one job, done well.

1 agent

A single agent with its knowledge and tools, taking one repeatable task off a team.

Complex agentic systems

Many agents, one governed system.

multi-agent

An orchestrator coordinating specialist agents across systems, with memory, identity, guardrails and human approval.

Have a different use case in mind? Tell us what you want to build →

Migrating to AWS?

See if you qualify for a free migration.

Move the agents you already run into your own AWS account, with assessment, migration support and AWS credits for eligible projects.

Check if you qualify →

Security & control

Agents never reach your systems unchecked.

Each agent connects to your business systems through a governed layer deployed in your own account: who it acts as, what it may touch, what it may say, and a trace of what it did.

Your agents

Support copilotsimple agent

Credit leadorchestrator

Lead scorermigrated

Claims agentsmulti-agent

In your AWS account

Governed layer

AgentCore IdentityWho each agent acts as
AWS IAMWhat it may touch, least privilege by default
AgentCore GatewayHow it calls your tools, over MCP or REST
Bedrock GuardrailsWhat it may say and which data it may expose
AgentCore ObservabilityWhat it did, traced step by step
AWS CloudTrailAn audit log of the AWS calls it makes
Usage limitsHow much it may use, with budgets you set

Your systems

CRMSalesforce, HubSpot

MessagingSlack, Teams, email

DatabasesAmazon RDS, Aurora

DocumentsAmazon S3

Internal APIsREST, MCP

Customers

Teams running agents in their own AWS accounts.

Placeholder content: replace with approved client quotes before launch.

Client portrait — **[Client name]**[Role], [Company]

[Result][What changed, e.g. hours saved per week]

“[Quote about passing the security review: IAM, guardrails and audit in their own account.]”

CD[Client name][Role], [Company]

“[Quote about moving an agent from another platform into AWS with the Assembly team.]”

EF[Client name][Role], [Company]

For both sides of the house

Built by agile teams. Governed by IT & security.

For agile teams

Ship the agent you need, without waiting on a platform backlog.

01Build visually, with zero code
02Start from a description, a boilerplate or a blank canvas
03Choose any model on Amazon Bedrock
04Grow from one agent to orchestrated teams of agents

For IT & security

See and control every agent, in your own account.

01Every agent deploys inside your AWS boundary
02IAM least privilege, Identity and Guardrails by default
03Changes reviewed as pull requests, through your CI/CD
04Usage limits and budgets per team, on your own AWS bill

Your cloud, your code

Your AWS account. Your code. No lock-in.

Inference on Amazon Bedrock, in your account
IAM roles and policies you define and review
Generated as AWS CDK code you own
Git-native: PRs, reviews, CI/CD
Bedrock, Lambda, Step Functions, OpenSearch

If you stop using INFRALESS, your agents keep running. You keep the code and the deployed resources, which are standard AWS.

AWS CDK · TypeScript infra/support-copilot.ts

Compare

The speed of an agent builder. Hosted in your own AWS.

How INFRALESS compares with agent tools that run outside AWS, and with building it all yourself.

Criteria	Agent tools outside AWS	Building it yourself	INFRALESS
Who builds	Anyone	Scarce platform engineers	Your agile teams
Where it runs	Their cloud, with your data	Your AWS account	Your AWS account
Access to your data	Copied to their cloud	Yes, wired by hand	In place, in your account
Usage & cost	Their limits and pricing	Yours to build	Your limits, on your AWS bill
Visible to IT	No: shadow AI	Once it's built	From the first deploy
Who owns the code	Nobody you can see	You	You: AWS CDK code
Agents you already run	Stay where they are	Rewritten by hand	Migrated with our team
Security review	Hard to pass	On you	IAM least privilege by default

Start from zero or migrate. Either way, it runs in your account.

Get early access →

FAQ

Questions teams ask.

Something else on your mind? Email hello@infraless.io.

Where do our agents run?

In your own AWS account. INFRALESS deploys the infrastructure remotely; your data, models and agents stay in your cloud.

Can agents use our own data?

Yes. Agents connect to your documents, databases, knowledge bases and internal APIs inside your account, with access scoped by IAM.

How do we control usage and cost?

Everything runs in your AWS account, so usage and cost show up on your own AWS bill. You set limits and budgets per agent or team with the controls you already use.

Who builds, and who stays in control?

Agile teams design and change agents in the studio. IT and security control the AWS account, IAM, guardrails and the generated code, reviewed through your usual pull requests.

Can you migrate agents we already run elsewhere?

Yes. We help you move agents from third-party builders, other clouds or scripts into your AWS account. Each one is rebuilt in the studio and deployed as code you own. Reach out first: your migration may qualify for a full assessment, migration support and AWS credits, through Assembly Cloud Solutions, an AWS Advanced Partner with GenAI and Migration capabilities.

What happens if we stop using INFRALESS?

Your deployment keeps working. You keep the AWS CDK code and the deployed resources, which are standard AWS.

Which models can we use?

Any model available on Amazon Bedrock. Choose one per agent and switch at any time.

Early access

What agent do you want running in your AWS account?

Join the early-access program. We'll onboard your team and help you ship, or migrate, your first agent.

I want to Start from zero Migrate existing agents

By signing up you agree to our Terms and Privacy Policy.

Prefer a live demo? Email hello@infraless.io

01Onboarding with our teamWe set up the studio with you.
02Your first agent, liveBuilt from zero, or migrated from where it runs today.
03Running in your accountAWS CDK code you keep, whatever happens.