About ModelSide
We build private, on‑prem AI tools using open‑source LLMs for teams handling sensitive or high‑volume data.
We reply within 1 business day.
Mission
We build private, on-premise AI so organizations can control their data, speed, and costs—without sending sensitive information to third-party clouds.
Values
- Privacy by default
- Performance at scale
- Transparency & maintainability
- Pragmatic innovation
Our Story
I’m Nathaniel Golyan. As a kid in my grandparents’ electronics shop, I spent weekends tearing down broken pagers and bringing them back to life. By elementary school I’d built my first PC, and code felt like the biggest puzzle I could solve.
In middle school I helped digitize my family’s medical practice; in high school I built 30+ high-end gaming rigs and ran GPU mining farms.
Today, finishing my degree in the era of AI, I’m combining deep hardware experience with software to deliver custom, local AI—so your critical data and workflows stay in your environment, under your control.
Team
Nathaniel Golyan — Founder & Builder
Hardware-native engineer focused on private LLM systems. Built 30+ performance rigs, GPU mining farms, and workflow-first AI pipelines for regulated teams. Obsessed with practicality, latency, and keeping data in-house.
Fixes pagers for fun since grade school. Built way too many gaming rigs. Now turns that obsession into private LLM setups that live in your office—fast, practical, and actually useful.
Why Local Matters
- Data never leaves your environment (privacy & compliance)
- Lower latency + predictable costs at scale
- Custom pipelines that mirror your real workflows
Ready to chat?
Our Mission
Empower organizations to safely deploy AI where data lives. We focus on privacy, reliability, and seamless integration into existing tools and processes.
Our Approach
We implement retrieval‑augmented systems, governed generation, and role‑based workflows with clear auditability. Every delivery is measured against performance, security, and usability.