AI-Ready Cloud Architecture
Cloud setups that don’t fall over and don’t bankrupt you.
Most cloud bills carry 25-40% in waste — orphaned resources, oversized instances, and forgotten dev environments.
The problem
Most cloud bills are inflated by 30-60% because nobody had time to tune them. Most cloud architectures break at the second growth inflection point because they were stitched together by whoever was free at the time. And AI workloads make it worse — training runs, inference servers, vector databases, all with their own cost gotchas.
How we help
We design and run cloud infrastructure that’s tuned for what your business actually does, scales without surprises, and stays well under the budget your CFO will accept. Whether you’re on AWS, Google Cloud, or Azure — and whether you’re running a website, an API, or a real ML pipeline — we get the architecture right.
What you get
- A clear architecture document any engineer (yours or ours) can pick up and operate.
- Cost optimization that typically cuts cloud bills 20-40% within the first month.
- Production-grade monitoring, alerting, and on-call patterns — so you know about problems before customers do.
- AI/ML workload setup if you need it — training pipelines, inference serving, vector storage, observability.
- Disaster recovery and backups that have actually been tested.
How we work
- Audit: We review your current setup, costs, and pain points. We tell you the truth about what’s broken.
- Design: A target architecture that fits your scale and budget — not a Netflix-grade overbuild.
- Migrate: We move you carefully, with rollback plans for every step. Production never goes down because we’re working.
- Operate: Ongoing monitoring, cost reviews, and capacity planning if you want us to stay involved.
How we package this work
- AI Infra Audit — A 2-week deep dive into your cloud setup with a remediation plan and ROI estimates for each fix.
- Greenfield AI Stack — Production-grade AI infrastructure built from scratch — training, serving, vector search, observability.
- Inference Optimization — Cut your AI inference costs and latency through model quantization, batching, and serving improvements.
Common questions
AWS, GCP, or Azure?
We work in all three. We’ll tell you which one fits your workload best — usually it’s less religious than the consultants who only know one.
Will you blow up my prod?
No. Every change has a rollback. We do dry runs in staging environments. Production migrations happen at off-peak hours with you in the loop.
How much can you really save?
Most first-time audits surface 20-40% in immediate savings. Beyond that, ongoing optimization typically clips another 5-15% per quarter.
Case studies that show this in action
HungerHunter.com
EC2 + PM2 + Redis production stack tuned for queue-driven workloads.
View case study →
FictionEngine.ai
Multi-model LLM orchestration with vector retrieval at scale.
View case study →
NextVenu.com
Live video + payment infrastructure for paid online events.
View case study →
SmartClaw.app
Real-time hardware-to-cloud sync via Firebase + PostgreSQL.
View case study →
Ready to talk?
Book a 30-minute strategy call. We’ll review your goals, sketch an approach, and price it before you leave.
Related services
- Digital Strategy — A clear plan for where your business needs to go online — and the practical roadmap to get there.
- Web Development — Custom websites and web apps that actually do what your business needs — built fast, built well, built to last.
- Mobile Solutions — Mobile apps that customers actually want to keep on their phone.
- Data & Analytics — Turn the data you already have into the decisions your team needs.
- Digital Marketing — Marketing automation that does the work — so your team gets back the hours they used to lose.