Why We Started Eagerminds

Three months ago, I was consulting for a fintech startup that was burning through $15K monthly on AWS. Their infrastructure was a mess of auto-scaling groups that never scaled down, RDS instances running 24/7 for batch jobs, and Lambda functions that were essentially running monoliths.

Within two weeks, we'd cut their bill to $9K. Not through black magic, but through what should have been obvious optimizations—if you know where to look.

The Problem We See Everywhere

This wasn't an isolated case. Over eight years of building on AWS, I've seen the same patterns:

• •Teams ship fast, optimize never
• •AI/ML projects that work in notebooks but fail in production
• •Brilliant engineers spending weeks on infrastructure instead of features

Meanwhile, the AI revolution is happening. GPT-4, Claude, Llama—these aren't just chatbots anymore. They're the foundation for a new generation of software that thinks, reasons, and acts.

Our Bet on the Future

We believe the next decade belongs to agent-native applications—software that doesn't just respond to users, but actively works on their behalf. Think beyond chatbots:

• •AI that monitors your AWS spend and automatically optimizes it
• •Healthcare assistants that understand medical context and compliance
• •Customer service that resolves 90% of issues without human intervention

But here's the catch: building these systems requires deep expertise in both AI/ML and production infrastructure. Most teams have one or the other, rarely both.

Why AWS? Why Now?

We're betting on AWS because it's where the enterprise lives. When a Fortune 500 company wants to deploy AI, they're not experimenting with new cloud providers. They're using the infrastructure they already trust.

AWS Bedrock, SageMaker, Lambda, ECS—these aren't just services, they're the building blocks for enterprise-grade AI that can scale from prototype to millions of users.

What We're Building

Eagerminds exists to bridge this gap. We're not another AI consultancy or cloud migration shop. We're a product studio that builds AI-native applications the right way:

• •Secure by design — HIPAA, SOC2, enterprise-ready from day one
• •Cost-optimized — Because AI compute is expensive, but waste is worse
• •Ship-first mentality — MVPs in 30 days, not 6 months

The Road Ahead

We're starting small—a micro-studio of AWS-certified engineers who've been in the trenches. Our first products are already helping clients save thousands on AWS costs and deploy AI systems that actually work in production.

But this is just the beginning. We're building toward a future where every business has access to enterprise-grade AI automation, without the enterprise-grade complexity.

If you're building the future of software, we'd love to build it with you.