We have some news we’re excited to share: RemoteState is now on AWS Marketplace, with two listings live.
If your business already runs on AWS, you can now bring in our team for generative AI and cloud engineering through the AWS account you already use. It’s the same team behind our AI development services, now available through a buying path your finance team already knows.
You can explore our offerings on the RemoteState AWS Marketplace page.
What Our AWS Marketplace Listing Means for You
For most teams, the hardest part of bringing in a new tech partner isn’t the project itself. It’s procurement. Here’s how our listings make that part easier .
How to Buy RemoteState Services on AWS Marketplace
Both listings are offered as AWS Marketplace professional services, and buying works the same way for each. You request a private offer from the listing page, and we get back to you within two business days. Together, we agree on a statement of work, scope, and price. Then we send an AWS Marketplace private offer, which you accept in your AWS account.
The engagement is paid through your regular AWS bill. One thing to keep in mind: if the project sets up resources in your AWS account, those infrastructure costs, including AI model inference, are billed separately from the Marketplace engagement.
Procurement and AWS Spending Considerations
Many enterprise teams prefer AWS Marketplace consulting engagements for a simple reason: AWS is already an approved vendor. That can cut down the time spent on onboarding and contract review.
Every engagement is also covered by a master services agreement and a statement of work, with a named engagement manager on our side. Support terms, warranty, and refund conditions are spelled out in the statement of work, so nothing is left vague.
AI and Cloud Services from RemoteState
Each of our listings maps to one of the two areas where AWS teams most often need an experienced engineering partner.
Generative AI Development on AWS
Plenty of businesses don’t need another AI demo. They need something their team will actually open and use on a Monday morning.
That’s what our generative AI development work is about. We build RAG assistants grounded in your own data, voice agents, intelligent document processing, and AI agents that use tools to get real work done.
On AWS, that means Amazon Bedrock with Knowledge Bases, Guardrails, and Agents, plus Amazon SageMaker where custom models make sense. Retrieval runs on Amazon OpenSearch Serverless or Aurora PostgreSQL with pgvector, voice on Amazon Transcribe, Polly, and Lex, and document extraction on Amazon Textract.
In practice, think of a support assistant that answers from your policy documents and hands tricky cases to a person. Or a voice agent that handles first-round screening calls, or a pipeline that pulls key fields from contracts and claim forms so your team reviews instead of retyping.
For healthcare and other regulated teams, we use HIPAA-aligned architectures with PII redaction, consent-first data flows, and audit trails.
Cloud Engineering, Migration, and Modernization on AWS
Our cross-functional pods, spanning product, UI/UX, backend, mobile, DevOps, and QA, design and launch web, mobile, and SaaS platforms on AWS.
On the build side, that means Amazon EKS, Amazon ECS with AWS Fargate, AWS Lambda, Amazon API Gateway, Amazon Aurora, Amazon DynamoDB, and Amazon S3. Infrastructure as code, CI/CD, and monitoring on Amazon CloudWatch come built in.
For older systems, we handle AWS migration and modernization in phases. We can re-platform monolithic applications to containers or serverless architectures and migrate databases to services such as Amazon Aurora or Amazon DynamoDB, with a focus on minimizing disruption to ongoing business operations.
Need extra capacity? Our AWS engineers for cloud migration and modernization can join your team directly.
How RemoteState Helps Businesses Move from AI Pilots to Production
Here’s the honest truth about AI right now. Lots of companies have run a pilot. Far fewer have something working reliably in daily operations.
The gap is rarely the model. It’s the engineering around it.
We start with AI Discovery: defining the use case, assessing data readiness, selecting the model and architecture, and agreeing on success metrics and a cost model. Next, we run a three-to-six-week proof of concept with an evaluation framework. When the pilot meets the agreed criteria, its architecture and code can provide a foundation for production deployment, reducing the need to start from scratch.
Once it’s live, we keep it healthy with monitoring and tracing, prompt and model versioning, red-teaming, and per-request cost controls. That’s how we deliver AI solutions that keep working long after the launch meeting.
The Experience Behind RemoteState’s AWS Offerings
Since 2020, RemoteState has delivered 140+ solutions for clients across healthcare, fintech, logistics, marketplaces, edtech, and enterprise SaaS, supporting businesses from early-stage startups to global enterprises, including PepsiCo, IKEA, Dell, Prudential, and Workiva.
We maintain a 98% client retention rate, reflecting our focus on long-term client relationships and consistent delivery. We aim to build partnerships that continue to support clients as their business and technology needs evolve.
Our AI work runs in production in healthcare, fintech, legal-tech, and HR-tech, including HIPAA-aligned deployments on AWS. Senior ML and GenAI engineers work alongside DevOps and security specialists, and we deliver AI inside real products with full-stack engineering, not as standalone notebooks.
With a US presence in Santa Monica, California, and a delivery centre in Noida, India, we can match your working hours. Clients rate us 4.9/5 on Clutch.
Need more hands? You can hire AWS developers from RemoteState to work right alongside your team, backed by the same people behind RemoteState cloud services.
Frequently Asked Questions
What’s Next for RemoteState on AWS
If you’re weighing an AI or cloud project, the easiest first step is a short discovery engagement. It gives you a clear architecture, success metrics, and a cost model before you commit to a full build.
From there, our focus stays the same. We want to help businesses build AI and cloud products on AWS that are secure, scale well, and are built to last.
Explore RemoteState on AWS Marketplace
Have an AI or cloud project in mind? Request a private offer on our Generative AI & Agentic AI listing or our Cloud-Native Product Engineering listing, or simply talk to our team. We’ll help you figure out the right place to start.
Your business is on AWS? Now you can hire RemoteState for generative AI and cloud engineering through AWS Marketplace, billed to your AWS account.
