AI infrastructure consulting
Production AI infrastructure on AWS.
We make your AI features reliable, secure and cost-controlled, without you hiring a platform team.
AWS-first · Also Google Cloud, Oracle Cloud & Cloudflare
What we cover
Bedrock & LLMs
Build and run LLM applications in production.
RAG & Vector DB
Scalable RAG pipelines and vector databases.
Monitoring & Reliability
Observability, alerting and incident management.
Cost Control
Optimize infrastructure and LLM costs.
For Series A/B SaaS teams · 15–100 people · building AI features · no platform team
Common challenges
AI moves fast. Infrastructure shouldn't slow you down.
AI bill out of control
Unpredictable costs, inefficient architectures and no visibility into spend.
AI features break in production
From model timeouts to vector database issues, small problems quickly impact users.
SOC 2 and security pressure
Enterprises expect strong security, compliance and data controls from day one.
Our services
End-to-end AI infrastructure, from design to operations.
AI Infrastructure Assessment
$5,000 fixed
Deep dive into your current setup, architecture, security, costs and scaling plan with clear recommendations.
Learn more →AI & RAG Production Build
4–8 weeks
Design and build secure, scalable AI and RAG infrastructure on AWS (with Bedrock), vector databases, APIs and observability.
Learn more →Platform & Reliability Partner
from $6,000/month
Ongoing support, monitoring, cost optimization and feature delivery as your long-term infrastructure partner.
Learn more →What you get in 2 weeks
A clear plan to move forward.
- Architecture review
- Cost breakdown and savings plan
- Security and SOC 2 gaps
- Prioritized roadmap
Founder
Adarsh Singh
DevOps and cloud engineer specializing in AWS and production AI infrastructure. Every engagement is led by a senior engineer, not handed to juniors.
- AWS Certified Solutions Architect – Associate
- Certified Kubernetes Administrator (CKA) In progress
- Certified Kubernetes Security Specialist (CKS) In progress
Our process
A simple way to work together.
- 1
Assess
Understand your product, use cases, current setup and goals.
- 2
Design
Create the right architecture with a focus on security, scalability and cost.
- 3
Build
Implement and test a production-ready infrastructure.
- 4
Run
Monitor, optimize and support your systems as you grow.
Frequently asked questions
Quick answers.
Why not hire full-time?
A senior platform engineer takes months to hire and costs $150k+ a year. We start in days, for a fraction of the cost. If you hire later, we help you hire and hand over cleanly.
Do you work in US and UK time zones?
Yes. We keep daily overlap with US Eastern and UK hours, and work async over Slack the rest of the day.
What happens after the assessment?
You get a written roadmap. Implement it yourself, or we build and run it with you.
Do you only work with AWS?
AWS is our specialty. We also support Google Cloud, Oracle Cloud and Cloudflare, including multi-cloud setups.
We're on Google Cloud or Azure. Can you help?
Yes for Google Cloud. For Azure, book a call and we'll tell you honestly if we're the right fit.
Free resource
AI Infrastructure Readiness Checklist
Get a practical checklist to evaluate your AI infrastructure, security and costs.
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