Zro

Overview

Zro is an innovative SaaS platform designed to facilitate private inference for coding agents using open models. It offers optimized inference capabilities across multi-region infrastructure, ensuring low latency and high performance. By prioritizing privacy with zero request retention, Zro provides a secure and transparent solution for developers and businesses looking to scale AI inference without relying on proprietary, closed-source APIs.

What it does

• • Facilitates private inference for AI coding agents using open-source models
• • Provides optimized, low-latency inference performance via a multi-region infrastructure deployment
• • Ensures data security and compliance by guaranteeing zero request retention for all inputs
• • Allows developers to deploy AI solutions without the constraints of proprietary API vendor lock-in
• • Supports scalable and secure enterprise workflows for confidential code analysis and research.

Who it's for

• AI Researchers
• Software Developers
• Enterprise Engineering Teams
• Privacy-focused Businesses

Why it works

• Privacy-first architecture with zero request retention appeals to organizations with strict data security and compliance requirements
• Infrastructure is optimized for speed and low latency, essential for real-time coding agent responsiveness
• Flexibility to use open models prevents vendor lock-in and provides greater control over the AI stack
• Multi-region deployment capabilities ensure reliable performance and scalability for global teams and enterprise applications.

Founder story

Zro was launched in July 2026 as a dedicated platform for AI inference. It was created to solve the tension between the need for powerful AI coding assistants and the strict privacy requirements of enterprise software development, enabling secure and performant AI integration.

Alternatives

• Hugging Face Inference Endpoints
• OpenAI API
• Cortex AI
• Seldon Core

Comparison overview

• vs OpenAI API: OpenAI API provides a proprietary closed-source model with varying data usage policies, whereas Zro focuses exclusively on private inference for open models with a zero-retention guarantee.