Agentic AI on AWS Bedrock AgentCore

Most AI agents look brilliant in a demo and fall over the moment real traffic, real data, and real permissions show up. We build agents on AWS Bedrock AgentCore so they get a proper runtime, governed tools, memory, and identity from day one, ready for the messy reality of production.

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- About

The hard part of agents is everything around the model

Picking a model is the easy bit. Running an agent securely, at scale, with the right tools and guardrails is where most projects stall. That is the part we build.

What we offer

We design and operate the full agent stack on AWS Bedrock AgentCore. AgentCore Runtime hosts your agent in a serverless, session-isolated environment. AgentCore Gateway turns your APIs and existing MCP servers into governed tools the agent can actually find and use. AgentCore Identity gives each agent its own scoped access. AgentCore Memory and Bedrock Knowledge Bases keep it grounded in your data, and AgentCore Observability lets you see every step it took. We stay framework and model agnostic, so we fit what you already use instead of forcing a rewrite.

Ideal for

Teams with a working agent prototype that now needs to run in production without keeping someone up at night.

Engineering teams buried under a sprawl of MCP servers and tool integrations that nobody is governing.

Security-conscious organizations that want agents with least-privilege access, full audit trails, and data that stays under their control.

- Pain points

We can help you if you face:

Your agent demos great but breaks in production

A sprawl of MCP servers nobody governs

Agents with more access than they should have

No memory, so every conversation starts from zero

No idea what the agent actually did

Locked into a single framework or model

- Our offering

A full AgentCore stack, built to run

We build the whole stack on AWS Bedrock AgentCore so your agent is something you can operate, not just something you can screenshot. It starts with AgentCore Runtime: a serverless, session-isolated home for agents built with Strands, LangGraph, CrewAI, or whatever framework you already use, running on the model that fits the job, including Claude on Bedrock.

AgentCore Gateway is where the tools live. We turn your APIs, Lambda functions, and existing MCP servers into governed tools behind one endpoint, so the agent finds the right tool by intent instead of you wiring each one by hand. This is also how we deal with MCP aggregation: one secured gateway instead of a dozen MCP servers scattered across teams with no oversight.

AgentCore Identity handles authentication and authorization. Every agent gets its own scoped identity and least-privilege access to AWS and third-party services, with inbound and outbound auth wired into your existing identity provider like Cognito, Okta, or Entra. Agents get exactly the access they need and nothing more.

AgentCore Memory keeps short and long-term context so conversations build on each other, and Bedrock Knowledge Bases ground the agent in your own data through retrieval instead of letting it guess. Your agent answers from what you know, not from what it hopes is true.

AgentCore Observability ties it together. You can trace every prompt, decision, and tool call, so when something looks off you can see exactly why. We connect it to CloudWatch and OpenTelemetry and operate the whole thing for you.

Our offering includes

AgentCore Runtime setup, framework and model agnostic
AgentCore Gateway and MCP aggregation
AgentCore Identity for authentication and authorization
AgentCore Memory and Bedrock Knowledge Bases for grounding
AgentCore Observability and ongoing operations
Built-in agent tools like Browser and Code Interpreter

- Working with us

Why choosing us is the best decision

We love working with interesting people and solving problems.

First agent in production

Production-ready agents, not demos

Full AgentCore stack expertise

MCP aggregation and governance

Least-privilege agent identity

Framework and model agnostic

End-to-end ownership

AWS certified expertise

Recommended

Weeks

Get in touch

If you're already here, it only makes sense to talk.

In-house team

Months

Other agencies

Months

Ready to take your agent from demo to production?

Book a free consultation and let's map out your AgentCore stack.

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Case studies

Your questions answered

It is the set of AWS services for running AI agents in production. Instead of stitching together your own runtime, tool plumbing, memory, and auth, AgentCore gives you managed building blocks for each, so you can focus on what the agent does rather than the infrastructure under it.

No. AgentCore Runtime is framework agnostic, so we bring your existing agent across and give it a production home. You keep the logic you have built and gain the runtime, identity, memory, and observability around it.

Yes. AgentCore is model agnostic and Claude runs on Amazon Bedrock, so we can build on Claude or any other Bedrock model and switch as your needs change.

Yes, this is exactly what AgentCore Gateway is for. We put your MCP servers and APIs behind one governed endpoint with proper auth and tool discovery, so your agents find the right tool by intent and you get a single place to manage access.

In layers. AgentCore Identity gives each agent least-privilege, scoped access. Sessions are isolated, so one run cannot bleed into another. And AgentCore Observability records every tool call and decision, so you have a full audit trail if you ever need to ask what happened.

AgentCore lives on AWS, but your agent does not live in a bubble. Through Gateway and Identity we connect it to third-party APIs and identity providers, so it works with the tools and data you already have outside AWS.

If you are still working out where AI fits, our AI Transformation service is a better starting point. Once you have a use case that needs real agents in production, AgentCore is where we take it.

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