Your MLOps Journey Starts Here
Have you ever stared at a perfectly trained model, knowing it could transform your business if only you could get it to production?
We had it — many times.
Who are we?
Cube, a horde of tech-savvy people who deliver daily end-to-end products that have LLMs, RAGs, speech-to-text, and so on, our clients call them AI, we believe in ML ;)
We take them from business requirements purgatory to PoC to production paradise.
We understand the reality you're facing
Your proof-of-concept works beautifully in isolation, on your computer.
Your team is excited, they will deliver groundbreaking changes.
Your leadership is impatient to see it live.
But deployment feels like climbing Everest in flip-flops.
Our team spent 10 years watching brilliant teams get stuck in this same spot.
They call it the "valley of death" between experimentation and production.
The stakes are higher than ever
76% of ML projects never make it to production
Teams spend 5-6 months on average trying to operationalize models
Each failed deployment costs companies an average of $300,000
The market isn't waiting. Your competitors aren't waiting.
Why do most teams struggle
They face a scattered landscape of:
Conflicting best practices
Outdated documentation
Complex infrastructure decisions
Scaling mysteries
We know, because we've failed here too. Spectacularly.
Your path forward
This newsletter is the guide we wish we had.
Each week, you'll receive:
Battle-tested deployment architectures
Complete code repositories
Clear, actionable diagrams
Real-world case studies
No theory. No fluff. Just proven paths to production.
What Makes This Different?
Every piece of content comes from:
12 years of hands-on experience
$100M+ in successful ML deployments
Countless failures transformed into wisdom
Real solutions tested in the field
Your Next Step
Ready to move from proof-of-concept to production paradise?
🤔 Still wondering if this is right for you? Ask yourself:
Do you have ML models stuck in development?
Is deployment taking longer than expected?
Are you tired of piecing together scattered solutions?
If you nodded to any of these, welcome home.
