Over the last year, we've been obsessed with one problem: making AI inference faster and more efficient. As we worked with developers building AI products, we kept seeing the same tradeoff:
Use closed-source AI APIs and give up privacy and control. or Run open-weight models yourself and spend time managing infrastructure.
We built Zro so developers don't have to choose.
With Zro, you get a fast, OpenAI-compatible API for open-weight models with:
🌏 Multi-region hosted inference 🔒 Zero data retention & zero training on your prompts 🏢 Optional on-prem deployments ⚡ A serving stack optimized for coding agents and long-context workloads using MoonMath's in-house inference technology. 🛠️ Built for easy setup with the most popular AI coding agents
We're launching early because we want feedback from developers building real AI products. We'd love to know:
Which models should we add next? What features are missing from your current inference provider? What would make you switch?
🎁 Product Hunt launch offer
Use code PRODUCTHUNT to get 1 month of Zro Pro free. Limited to the first 100 users.
We'll be here throughout the day to answer every question. Thanks for checking out Zro, we're excited to hear what you think! 🚀
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The tradeoff between closed APIs and self-hosting open models is very real. most small teams want more privacy and control, but not the operational burden of running inference infrastructure themselves.
The OpenAI-compatible API, zero retention, and optional on-prem path make Zro feel practical for teams that want to start simple and keep more control as they grow. Curious how you handle routing across regions for long-context coding workloads without hurting cache efficiency or latency consistency?
@andrasczeizel We are not routing your request across region and that's how it wouldn't hurt the cache at all. Before setting up your session with API key you will be able to select which region you want to use.
Right now, all live machines are located in the EU, but US options will be available soon!
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@emirsoyturk I see, thanks for the reply. Good luck with the launch & vercel day!
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"Your code shouldn't be someone else's training data" is a strong line. Which open models are you running under the hood, and is EU hosting the default or a paid tier? Congrats on the launch
@alex_tomilin EU hosting is the default and we are working on adding new regions (e.g US). Right now GLM 5.2 and Minimax M3 are accesible via ZRO and we are testing/optimizing new models.
Do you have any models that you would like to see added?
Report
"zero retention claims are cheap, anyone can audit this?"
@paige_lauren1 Fair point. Privacy has always been core to what we build at MoonMath and Ingonyama. We're actively working toward stronger transparency around these guarantees.
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"multi region's great for latency but some of us need single region only for compliance stuff, is that even an option here".
@aria_turner Right now we work together with the team to customize their on prem deployment to their needs. We have been running Zro internally on prem for a while and have experience in deploying on prem, hybrid, and cloud based solutions.
Hey @oliver_nathan2 , I'm Jeremy one of the builders of Zro. Thanks for asking! We have built in support for many popular harnesses like Claude Code, Codex, Pi, OpenCode, and are adding more. You can see all of the ones we officially support here https://zro.moonmath.ai/integrations
Zro
👋 Hi Product Hunt!
We're MoonMath, the team behind Zro.
Over the last year, we've been obsessed with one problem: making AI inference faster and more efficient. As we worked with developers building AI products, we kept seeing the same tradeoff:
Use closed-source AI APIs and give up privacy and control.
or
Run open-weight models yourself and spend time managing infrastructure.
We built Zro so developers don't have to choose.
With Zro, you get a fast, OpenAI-compatible API for open-weight models with:
🌏 Multi-region hosted inference
🔒 Zero data retention & zero training on your prompts
🏢 Optional on-prem deployments
⚡ A serving stack optimized for coding agents and long-context workloads using MoonMath's in-house inference technology.
🛠️ Built for easy setup with the most popular AI coding agents
We're launching early because we want feedback from developers building real AI products. We'd love to know:
Which models should we add next?
What features are missing from your current inference provider?
What would make you switch?
🎁 Product Hunt launch offer
Use code PRODUCTHUNT to get 1 month of Zro Pro free.
Limited to the first 100 users.
We'll be here throughout the day to answer every question. Thanks for checking out Zro, we're excited to hear what you think! 🚀
The tradeoff between closed APIs and self-hosting open models is very real. most small teams want more privacy and control, but not the operational burden of running inference infrastructure themselves.
The OpenAI-compatible API, zero retention, and optional on-prem path make Zro feel practical for teams that want to start simple and keep more control as they grow. Curious how you handle routing across regions for long-context coding workloads without hurting cache efficiency or latency consistency?
Zro
@andrasczeizel We are not routing your request across region and that's how it wouldn't hurt the cache at all. Before setting up your session with API key you will be able to select which region you want to use.
Right now, all live machines are located in the EU, but US options will be available soon!
@emirsoyturk I see, thanks for the reply. Good luck with the launch & vercel day!
"Your code shouldn't be someone else's training data" is a strong line. Which open models are you running under the hood, and is EU hosting the default or a paid tier? Congrats on the launch
Zro
@alex_tomilin EU hosting is the default and we are working on adding new regions (e.g US). Right now GLM 5.2 and Minimax M3 are accesible via ZRO and we are testing/optimizing new models.
Do you have any models that you would like to see added?
"zero retention claims are cheap, anyone can audit this?"
Zro
@paige_lauren1 Fair point. Privacy has always been core to what we build at MoonMath and Ingonyama. We're actively working toward stronger transparency around these guarantees.
"multi region's great for latency but some of us need single region only for compliance stuff, is that even an option here".
Zro
@zoe_sullivan you will be able to select the region or regions you’re comfortable using, and your API key will be restricted to those regions.
Right now, all live machines are located in the EU, but US options will be available soon!
"on prem this early feels like a lot for a small team to support properly, are yall going setup manually right now or is there tooling for it".
Zro
@aria_turner Right now we work together with the team to customize their on prem deployment to their needs. We have been running Zro internally on prem for a while and have experience in deploying on prem, hybrid, and cloud based solutions.
which agents work with it?"
Zro
Hey @oliver_nathan2 , I'm Jeremy one of the builders of Zro. Thanks for asking!
We have built in support for many popular harnesses like Claude Code, Codex, Pi, OpenCode, and are adding more. You can see all of the ones we officially support here https://zro.moonmath.ai/integrations