AWS Cloud & AI Engineering

Built on AWS by people who know it from the inside out.

Former AWS engineers who design, build, and ship on AWS, from contact centers to GPU workloads, and know how to make AWS funding programs work for you.

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When to call us

Bring us in when AWS work needs to reach production.

A proof of concept has been running for months without a production plan

Your contact center platform is due for replacement

An on-premises hardware refresh is coming

An AI pilot needs a secure, compliant path to production

What we do

Full-lifecycle AWS delivery, AI included.

Contact centers and AI

Amazon Connect builds with agentic AI and secure agent communication tools.

End-user computing

AppStream and virtual desktop rollouts at scale, including GPU workloads matched to user needs.

Migration and modernization

Moving workloads off aging infrastructure and onto AWS.

Data and analytics

Data migration, warehousing, governance, and visualization on AWS.

AI on AWS

Production AI built on AWS AI services.

Funding program navigation

We know AWS partner funding programs and build plans that qualify, so your budget goes further.

How an engagement runs

From first workshop to production.

Scope

Use cases, architecture, and a funding plan where programs apply.

Prove

A focused proof of concept with success criteria agreed up front.

Build

Production build, security, and testing.

Launch

Go-live, user onboarding, and handoff to your team.

Proof

AWS programs we've moved into production.

Healthcare, Amazon Connect + AI

An AI-assisted contact center in 8 weeks.

Amazon Connect with agentic AI and secure agent messaging for a new service line, replacing a legacy platform.

8 weeks to production50 agents onboarded$3M saved vs. legacy platform

Healthcare, virtual desktops on AWS AppStream

A year-long stall, in production in 12 weeks.

A national radiology practice's year-long evaluation, moved to production with GPU types matched to radiologist workloads.

12 weeks to production4,000 users onboarded$30M avoided hardware costs