Nozomio
Summer 2025
Active
Context augmentation for agents
Nozomio is a product lab building engineers for the age of AI.
As coding agents become ubiquitous, the real bottleneck shifts from “write code” to “know which code and docs to feed them.” Starting with the tool named Nia, the mission is to provide context enrichment through agentic research and indexing of any external codebase(-s) or documentation via MCP / API.
Nozomio started with Arlan's early frustration with the agentic coding ecosystem, especially around context and memory. After winning Product of the Day in February and raising pre-seed, Arlan moved to London and then to SF as a solo immigrant from Kazakhstan to build the future of software engineering.
try nia at trynia .ai <3
Active Founders
Founder
I used to finish homework at 6 AM so I had time to build during school hours—until I got sent to principal's office for taking investor calls. So I dropped out of 11th grade to raise $1 million in a few days.
At 15, I launched my first startup, which grew to 20,000 users. A year later, I cold-emailed my way into research at Stanford and worked closely with a professor from Caltech on Cobra, a powerful interactive tool for identifying defects and suspicious patterns in source code.
I used to finish homework at 6 AM so I had time to build during school hours—until I got sent to principal's office for taking investor calls. So I dropped out of 11th grade to raise $1 million in a few days.
At 15, I launched my first startup, which grew to 20,000 users. A year later, I cold-emailed my way into research at Stanford and worked closely with a professor from Caltech on Cobra, a powerful interactive tool for identifying defects and suspicious patterns in source code.
Company Launches
Nia: 10x the context of your coding agent
See original launch postTL;DR
Stop hand‑feeding links and developer context to your agent. Nia is an MCP server that can index entire codebases & documentation sites, perform deep research, and more so agents like Cursor, Continue, and Cline “just know” the right answer.
In internal evals we improved Cursor’s performance by 27 % once Nia had indexed external docs models couldn’t get from their training data or searching the web.
The Problem
- Coding agents are great with local files but fail when it comes to external context enrichment.
- Agents are finally great at codegen, terrible at retrieving the right context.
- You still copy‑paste GitHub and web links one‑by‑one and pray the model scrolls far enough.
Context—not generation—is now the bottleneck.
What Nia does
- Indexes multiple repos & entire docs sites at once via an MCP server.
- Works as MCP server and can be used inside Cursor, Cline, Continue etc.
- Deep‑Research Agent: ask “Compare LangChain, Llama Index, Haystack,” get an auto‑generated table (pros, cons, best pick) and have all three repos pre‑indexed for later use.
Get Started in <3 minutes
- Grab your API key at https://app.trynia.ai/
- Follow instructions at https://docs.trynia.ai/integrations/nia-mcp
- Enjoy.
https://youtu.be/5019k3Bi8Wo?si=ERmnmo01IJ3DQfrv
My ask
- Try Nia today and tell us what context your agent still misses.
- BOOK A FREE CALL → https://calendly.com/arlanrakh/nia-ai-demo
👉 Contact me at arlan@nozomio.com
My story
- I’m Arlan, solo‑founder immigrant from Kazakhstan.
- Launched my first edtech startup at 15.
- I got kicked out of my math classes for taking investor calls, so I dropped out of high school to move to London where I raised my pre-seed in couple days.
- I cold-emailed my way into research @ Stanford when I was 16, and worked closely with a Georgia Tech professor on a book called Cobra, a powerful interactive tool for finding defects or suspicious patterns in source code.
YC Summer 2025 Application Video
Jobs at Nozomio
San Francisco, CA, US
$150K - $250K
0.50% - 3.50%
Any (new grads ok)
