For teams building cloud systems, InfrOS designs and validates inherently optimized architectures that align to your priorities. It doesn’t just predict outcomes, it proves them through emulation before deployment - and helps you evolve infrastructure with control over time.
The standard cloud workflow is broken — and everyone's normalized it:
Deploy → watch things break → optimize reactively. Repeat forever.
We flipped it.
InfrOS takes your requirements upfront — business, technical, compliance — and proactively designs the right architecture before anything gets built. We then emulate it in a real environment to validate performance before a single resource is provisioned. What you deploy is already optimized. Real optimized.
And when your codebase, requirements, cloud provider offering, environment or price changes? InfrOS reoptimizes at the design level. Not a patch. A controlled redesign.
We call it shift-left optimization. We don't predict how your cloud will perform — we prove it.
Early customers are seeing 43% infrastructure cost reductions and 63% faster deployments. We just closed our first Fortune 500 deals through the Ignite DeepTech accelerator, and we're opening InfrOS to the broader community today.
🎁 Product Hunt exclusive: Use code PHLAUNCH for 20% off our paid plans— valid 7 days.
Two things I'd love your feedback on:
Does the shift-left framing resonate with how your team thinks about infrastructure?
What's the hardest part of your current architecture workflow?
This feels extremely relevant for solo devs or small teams that are price sensitive and are actively thinking of ways to keep costs down. Are there ways to be able to isolate for what's driving cloud cost after getting set up?
Using it now to define my HIPAA complaint infrastructure! Great step by step discovery of my needs and easy generation of useable code! Very thoughtful and thorough!
If you're a network or systems architect dealing with the complexity of cloud network design, this one's for you. We built this tool to truly understand your requirements and translate them into solid, tailored cloud network solutions — no more guesswork or endless back-and-forth.
I genuinely believe architects who try it will love it. Would mean the world to us if you gave it a shot today and let us know what you think
Congrats on the launch! I like the concept of optimizing your cloud infra. Was this designed more as a configuration optimization or migration/setup of your entire cloud infra? I'm also interested in how the "emulation" works since this is a very proactive approach. Without deploying and observing traffic patterns, how are you are able to determine the optimal cloud configs?
Hey Product Hunt! 👋
I’m Elia, data & AI lead at InfrOS (and employee #1).
When I joined, this was a vision. Today we’re a team of 12. Watching what got built over countless late nights finally reach real customers with no touch is something I genuinely can’t put into words.
My job was to build the AI side from the ground up, specifically the GenAI recommendation engine, which turned out to be one of the most demanding and rewarding things I’ve worked on. You can’t recommend what you don’t understand, so I went deep on system design, cloud computing, AWS, Azure, and GCP in ways I hadn’t anticipated. Every architectural pattern, every trade-off between cost, performance, security, and reliability, I had to truly internalize it all to make the system credible.
Early on, a potential design partner came in pushing hard on GPU infrastructure and AI training. At the time, we thought companies in the data center world might become a core customer segment for us, so we went deep in that direction. We spent a week pushing hard to make it work and understand what that world really needed. When Itay joined the team, his very first day immediately turned into diving straight into this project with us, delivering code and debugging code at the spot. I still laugh about that with him. We didn’t get there in time, and the partnership didn’t happen. It stung.
But months later, an enterprise customer came knocking on the door. And we delivered without breaking a sweat.
That week ended up being a real turning point for the product. It forced us to understand the hard edges of infrastructure recommendations in ways we never would have otherwise. It also helped clarify that our long-term path was different from what we had initially imagined. The AI I was building couldn’t just be fluent; it had to be right, under pressure, for real workloads. GPUs taught us that.
That’s the gap InfrOS is built for: teams know their goals, but rarely have the bandwidth to reason carefully through every infrastructure decision under deadline pressure. We wanted to bring that structured, battle-tested thinking to every team, not just the ones with a seasoned cloud architect in the room.
We’re proud of where we are - and we’re genuinely listening. Would love to hear what you think and what would help us deliver an even better product.
Really exciting day for us! This has been a long journey from idea to something people can actually use. We built this to solve problems we kept running into ourselves, so it means a lot to finally share it here and see how others experience it.
Good Morning America! Let's see how good Product Hunt's autoscalers are - we know ours are optimal :) Looking forward to seeing everyone on our website and giving our platform a try. It's FREE, and you have 20% off the first month
The idea of proving architectures through emulation before deployment is really compelling. How detailed is the emulation — does it simulate real traffic patterns and failure scenarios?
Excited to launch InfrOS today. We built it to help teams make better infrastructure decisions before anything is deployed, not after problems appear in production. We believe planning and validation should come first, and we’re proud to share a product built around that idea.
This is a strong take on a problem many teams have simply accepted as normal. The idea of validating and optimizing infrastructure before deployment feels far more practical than constantly reacting after things break. I am especially curious about the emulation layer you mentioned. How closely does it match real-world production behavior across different cloud environments?
really interesting angle on cloud optimization this feels like solving the problem at the right stage instead of waiting for infra issues to show up later. the “prove it before deploy” part especially stood out. how are you handling cases where requirements change very frequently across teams?
Thrilled to be launching InfrOS today. We built it around a belief that feels obvious in hindsight: infrastructure decisions should be validated before anything gets provisioned, not after issues show up in production. That shift from reactive fixes to proactive design is what excited us most, and we’re happy to finally share it.
Really excited to finally share this and grateful to everyone taking a look today! I truly believe this product will reshape the way teams design their infrastructure. We’re here all day, come say hi!
Hey Product Hunt:) A lot of thought went into making this practical, not just theoretical. Really excited to launch it!!
Hey Product Hunt 👋
I'm Naor, co-founder and CEO of InfrOS.
The standard cloud workflow is broken — and everyone's normalized it:
Deploy → watch things break → optimize reactively. Repeat forever.
We flipped it.
InfrOS takes your requirements upfront — business, technical, compliance — and proactively designs the right architecture before anything gets built. We then emulate it in a real environment to validate performance before a single resource is provisioned. What you deploy is already optimized. Real optimized.
And when your codebase, requirements, cloud provider offering, environment or price changes? InfrOS reoptimizes at the design level. Not a patch. A controlled redesign.
We call it shift-left optimization. We don't predict how your cloud will perform — we prove it.
Early customers are seeing 43% infrastructure cost reductions and 63% faster deployments. We just closed our first Fortune 500 deals through the Ignite DeepTech accelerator, and we're opening InfrOS to the broader community today.
🎁 Product Hunt exclusive: Use code PHLAUNCH for 20% off our paid plans— valid 7 days.
Two things I'd love your feedback on:
Does the shift-left framing resonate with how your team thinks about infrastructure?
What's the hardest part of your current architecture workflow?
We'll be here all day — ask us anything.
🙏
— Naor