Nozomio's Nia Secures $6.2 Million Seed Round to Enhance AI Coding Agent Context

San Francisco, CA – Nozomio, a startup founded by 18-year-old Arlan Rakhmetzhanov, has successfully closed a $6.2 million seed funding round to further develop Nia, its innovative context layer for AI coding agents. The announcement follows a tweet by Arlan, stating, "coding agent companies please support this asap: https://t.co/3Ye9b1PVSn," which links to information about Nia. This investment aims to address the critical bottleneck of contextual understanding in AI-assisted software development.

Nia is designed to provide AI coding agents with a comprehensive and up-to-date understanding of entire codebases and external documentation. It functions as a Multi-Context Provider (MCP) server, indexing vast amounts of data from private repositories, public GitHub projects, and documentation websites. This allows AI tools like Cursor and Claude Code to access relevant information instantly, significantly reducing "hallucinations" and improving code accuracy.

The seed round saw participation from prominent investors including CRV, BoxGroup, LocalGlobe, and Y Combinator, with additional backing from angels such as Paul Graham, co-founder of Y Combinator. This funding validates Nozomio's vision of a "post-IDE era" where natural language and AI agents become the primary interface for software creation, with the IDE serving as the underlying engine.

Arlan Rakhmetzhanov, a high school dropout from Kazakhstan, founded Nozomio after experiencing firsthand the limitations of existing AI coding tools. He noted that while code generation has advanced, the ability for AI to retrieve and process external context remains a significant challenge. Nia aims to solve this by building a deep, real-time mental model of any codebase, connecting millions of lines of code into a unified knowledge graph.

The company plans to utilize the new capital to expand its technical team, focusing on hiring a founding engineer for backend AI infrastructure, and to refine Nia's core agent capabilities. This strategic growth is intended to scale access to more engineering teams worldwide, furthering the company's mission to enhance developer productivity by providing AI agents with "superpowers, not shortcuts."