Add AI to your AWS product — built properly, not bolted on
Building AI on AWS is straightforward when you have the right team behind it. We assign a dedicated AWS architect and senior engineers to your project from day one — not a shared pool, not a rotation. The same people take your idea from working prototype to production.
Request a Free AssessmentThe AI systems we deliver on AWS
We build the following types of AI systems — each one grounded in your data, deployed on your AWS infrastructure, and owned entirely by you.
Your product already has users and workflows. We integrate generative AI directly into what you’ve built — so your team ships a real feature, not a side project. We handle the AWS architecture, the model integration, the reliability layer, and the event-driven pipelines that make it all run automatically in production.
What clients use this for
- Adding AI-powered search or recommendations to a SaaS platform
- Automating candidate analysis, content generation, or data extraction
- Building conversational interfaces into existing web applications
AWS stack
- Amazon Bedrock
- Anthropic Claude
- Amazon Nova
- AWS Lambda
- API Gateway
- Amazon EventBridge
An AI agent doesn’t just respond — it plans, decides, and acts. We build agentic workflows that process information and execute tasks across your APIs, databases, and services. Complex processes that currently require human coordination get handled automatically, reliably, at scale.
What clients use this for
- Automating multi-step hiring, onboarding, or intake workflows
- Orchestrating actions across internal tools without manual handoffs
- Building AI systems that can query, decide, and write back to your data
AWS stack
- Amazon Bedrock Agents
- AWS AgentCore
- Step Functions
- AWS Lambda
- DynamoDB
A knowledge base system connects a foundation model to your actual documents, databases, and internal content. Your team — or your customers — get accurate answers from your own information. Your data never leaves your AWS environment and is never used to train any model.
What clients use this for
- Internal assistants that answer questions from company documentation
- Customer-facing support bots grounded in your product knowledge base
- Search tools that understand meaning, not just keywords
AWS stack
- Amazon Bedrock Knowledge Bases
- Amazon OpenSearch
- S3
- AWS Lambda
- Bedrock Data Automation
If your business runs on PDFs, forms, contracts, or CVs, manual processing is a bottleneck you don’t need. We build event-driven pipelines that extract, validate, and route information from your documents the moment they arrive — directly into your systems, without a person in the loop for routine cases.
What clients use this for
- Parsing job descriptions and CVs for recruitment platforms
- Extracting data from contracts, invoices, or intake forms
- Automating document classification and downstream routing
AWS stack
- AWS Textract
- Bedrock Data Automation API
- Amazon Bedrock
- AWS Lambda
- Step Functions
- DynamoDB Streams
- S3 Event Triggers
Real Work. Real Results.
See how we've helped companies move from idea to production on AWS.
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Proof of concept in weeks. Production when it's ready.
We don't run open-ended engagements. Every project has two clear phases — a fast prototype to validate the idea, then a full build if it works. You know what you're getting before we start, and the same team delivers both phases.
Proof of Concept — 2 to 4 weeks
We build a working prototype using Amazon Bedrock and the supporting AWS services your use case requires — Lambda, ECS, vector databases, event triggers. The goal is simple: prove the idea works in your environment before you commit to a full build.
You end up with something real you can test, show, and make a decision from.
Full Build — scope agreed upfront
Once the proof of concept validates the business case, we build the complete solution. This includes:
– Generative AI integration using Amazon Bedrock
– Data pipelines and retrieval architecture (RAG where applicable)
– Secure, scalable infrastructure on AWS
– CI/CD pipelines for your engineering team
– Monitoring, alerting, and scaling setup
No surprises on scope. No rotation of engineers mid-project. The same dedicated architect and team who built your prototype take it to production.
Full Build — scope agreed upfront
Once the proof of concept validates the business case, we build the complete solution. This includes:
- Generative AI integration using Amazon Bedrock
- Data pipelines and retrieval architecture (RAG where applicable)
- Secure, scalable infrastructure on AWS
- CI/CD pipelines for your engineering team
- Monitoring, alerting, and scaling setup
No surprises on scope. No rotation of engineers mid-project. The same dedicated architect and team who built your prototype take it to production.
Why Aland Cloud - What working with us actually looks like
Dedicated architect and team — not a rotation
You get one architect and a dedicated engineering team assigned to your project. They stay with you from the first call through production. You're not passed between whoever is available that week.
Senior engineers who have shipped this before
The team working on your project has delivered AI systems on AWS in production. Not consultants who will figure it out as they go — engineers who have already solved the problems you're about to run into.
We can start within days
No six-week sales process, no lengthy scoping exercise before you see anything. We agree on the problem, align on the approach, and start building. Most projects have a working prototype within the first month.
DevOps and infrastructure are already covered
Most AI projects underestimate the infrastructure work. We come from a DevOps and cloud infrastructure background — so the reliability, scalability, CI/CD, and monitoring work is handled by the same team, not handed off to someone else.
Have an AI idea you want to build on AWS?
Tell us what you’re trying to do. We’ll tell you honestly whether it makes sense, what the right approach is on AWS, and what it would take to get a working prototype in front of your team.