AI & RAG production build
AWS Bedrock & RAG Production Build
We take your AI feature from prototype to production on AWS: secure, observable, cost-controlled and documented, so your team can run it with confidence.
What's included
What you get
Production architecture
Bedrock models, RAG pipeline, vector database (OpenSearch, Aurora pgvector or similar), APIs and networking designed for your scale.
Infrastructure as code
Everything defined in Terraform, reviewed and versioned, so environments are repeatable.
Security and guardrails
Least-privilege IAM, private networking, data isolation between customers and Bedrock Guardrails where they fit.
Observability
Tracing, latency, error and token-cost dashboards with alerts, so you see problems before users do.
Cost controls
Model choice, caching, batching and throughput settings tuned to keep your cost per request predictable.
Handover
Runbooks, architecture docs and a walkthrough so your team owns the system.
How it works
A simple way to work together.
- 1
Assess
Review your current setup, risks, costs and goals.
- 2
Design
Agree the target architecture and a prioritised plan.
- 3
Build
Implement with infrastructure as code, reviewed and tested.
- 4
Run
Monitor, improve and support as you grow.
Compare
Kestron AI vs hiring vs freelancers
| Kestron AI | Full-time hire | Freelancer | |
|---|---|---|---|
| Time to start | Days | 2–4 months to hire | Days |
| Cost | From $15,000 per project | $150k+ a year plus hiring costs | Hourly, varies widely |
| Seniority | Senior engineers | Depends on who you can hire | Varies |
| Coverage | A team, not one person | One person, vacations and sick days | One person |
| Documentation and handover | Included | Depends on the person | Rarely |
| AI infrastructure expertise | Included | Rare | Rare |
Why Kestron AI
Built for teams without a platform team.
Senior-led
Every engagement is led by a senior engineer, not handed to juniors.
AI infrastructure built in
Bedrock, RAG and LLM cost control are part of our core skills, not an add-on.
AWS-first
Deep AWS expertise, plus Google Cloud, Oracle Cloud and Cloudflare when needed.
Documented
Terraform, runbooks and handover docs. Your team always owns the system.
FAQ
Common questions.
Do you build the AI features themselves?
We focus on the infrastructure that runs them: models, retrieval, data, APIs, security, monitoring and cost. We work alongside your product engineers on the application side.
Can you migrate us from OpenAI to Bedrock?
Yes. We plan the migration, compare cost and quality, and switch traffic gradually to avoid surprises.
Do we need an assessment first?
It is recommended but not required. If you already have a clear plan, we start with a short scoping call instead.
Do you support Google Cloud?
Yes. We build similar setups on Google Cloud with Vertex AI. AWS is our primary specialty.
Ready to build?
Your AI in production, done properly.
Get a practical plan for a secure, scalable and cost-efficient AI infrastructure.
Book an Assessment