AI Consulting in Seattle
Cloud-native city of Amazon and Microsoft, with custom AI you actually own in your own cloud.
What Seattle builds, and where the AI leverage sits
Working alongside teams like
Seattle by the numbers
of the world's top cloud providers headquartered here
we work your business hours
aware by design
On the ground across
Seattle is the cloud capital of the world. Amazon's South Lake Union campus and Microsoft's Redmond headquarters set the standard for AWS and Azure, and the talent that built them spills into a dense ecosystem of cloud-native startups across South Lake Union and Bellevue. Boeing keeps a heavyweight aerospace and manufacturing presence in the region, while UW Medicine and Fred Hutch anchor world-class research and care.
It is a market that already thinks in terms of pipelines, scale, and MLOps, and wants partners who can match that bar. Cloud & enterprise software is the obvious starting point — South Lake Union and Bellevue teams building agents and RAG on AWS and Azure. The same pressure shows up in healthcare & life sciences and retail & ecommerce. We treat SOC 2, HIPAA, and CCPA/CPRA as design inputs, so residency, review, and documentation are native to the build.
arosplatforms is a remote-first partner for Seattle teams who need production systems that survive an audit, not just a demo. We work Pacific time, meet on the ground in South Lake Union when it matters, and run the build remotely so momentum never stalls. Scope is fixed, demos are weekly, and every system deploys in your own cloud with the documentation your team will actually own.
Talent & research
- University of Washington
- Allen Institute for AI
- Seattle University
Compliance context
Frameworks we design around from day one, so nothing gets retrofitted later.
Services we deliver in Seattle
The work most relevant to Seattle's industry mix, from first strategy through systems running in production.
Industries we serve in Seattle
We deliver on Pacific time, can be on the ground in South Lake Union and Bellevue for architecture and discovery workshops, and run the rest remotely so momentum never stalls. Every system is deployed in your own cloud, on AWS or Azure if that is where you live, documented for audit, and owned by your team.
Discover
On the groundWe meet your team locally to map the highest-leverage problem and the data behind it.
Build
In your cloudWe engineer, evaluate, and harden the system inside your environment, not ours.
Run
Owned by youYou get the code, the weights, and the documentation. We can run it or hand it over.
AI consulting in Seattle, answered
It depends on scope. A focused readiness assessment or a single production use case is a fixed-fee engagement; a platform build for a cloud-native or aerospace team is scoped after a free discovery call. We give you an honest range and a sequenced plan before any commitment.
Cloud and enterprise software, aerospace and manufacturing, and healthcare move fastest here. A South Lake Union team shipping agents, a Boeing supplier tightening quality, and a UW Medicine service line all have workloads where grounded AI pays off.
We are remote-first and work on Pacific time, meeting clients on the ground across South Lake Union, downtown, and Bellevue for discovery, workshops, and key milestones. Your AI runs in your own cloud, not ours.
Yes. We deploy in your environment, whether that is AWS, Azure, or both, and build with auditability from day one to meet SOC 2 and, for UW Medicine-style health work, HIPAA. You keep full ownership and control.
A first production use case typically goes live in weeks, not quarters. We start from the highest-leverage problem, prove it with evaluation, then scale it on the cloud infrastructure you already run.
Ready to build AI in Seattle?
Book a free consultation. We'll map the highest-leverage use case for your team and show you exactly how we'd ship it.