Coding-First Models
Models, infrastructure, and APIs optimized specifically for software development workloads not generic chat.
About Us
We help engineering organizations give their developers more AI capacity for coding, reasoning, and long-running agentic workflows without the cost and operational burden of building or operating their own GPU infrastructure.
Engineering teams want to use AI for daily development writing code, debugging, refactoring, and running coding agents. But they face three barriers:
Limited capacity on public AI subscriptions
Rate limits, context windows, and quotas slow down demanding work.
Unpredictable costs
Per-token pricing makes budgeting impossible for heavy usage.
Data security and model training concerns
Fear that proprietary code and prompts could be stored or used to train public models.
Mangix AI provides a managed inference service purpose-built for coding workloads. We operate the GPU infrastructure, select and optimize open-source coding models, and give organizations a simple, predictable way to provide AI capacity to their teams.
Open-source coding models (DeepSeek, QwenCoder, Nemotron, etc.)
OpenAI-compatible API - works with existing IDE plugins and tools
Organizational controls: budgets, quotas, model access, usage visibility
Zero data retention - your code and prompts are never stored or trained on
Dedicated capacity options for consistent low-latency
Predictable monthly billing per user, not per token
Models, infrastructure, and APIs optimized specifically for software development workloads not generic chat.
Centralized billing, access controls, usage analytics, and governance built for teams, & individuals.
OpenAI-compatible API means zero lock-in. Works with Cursor, Copilot, Continue, and custom tools.
Zero data retention policy. Your source code, prompts, and completions are never logged or used for training.
Clear pricing, open model selection, and honest communication about capabilities and limitations.
Fast, reliable inference with minimal latency. We optimize for the workflows developers actually use.
We grow with your organization. As your team scales, your inference capacity scales predictably.
Talk to our team about your organization's coding workload, model needs, and capacity requirements. We'll recommend a plan that fits.