About
We got tired of watching companies overpay for AI that doesn't fit.
Mithras Labs started after years of seeing the same pattern: enterprises spending $15-25K per month on cloud AI APIs for tasks a $20K server could handle permanently. Sensitive financial data flowing through third-party servers nobody thought to question. Manual processes that everyone agreed could be automated but nobody knew where to start.
Our background is enterprise finance operations, infrastructure engineering, and machine learning — the intersection where AI actually produces measurable business value, not just impressive demos.
We've built GPU clusters, deployed production LLM systems, and automated workflows that previously consumed entire departments. We know what ships and what stays on the whiteboard.
Based in Ohio, working nationwide. We specialize in regulated industries — finance, insurance, healthcare — where data privacy isn't optional and accuracy has to be near-perfect. We don't deliver slide decks. We deliver production systems.
If that sounds like what you need, let's talk.
How we operate
Results, not demos
We measure success in dollars saved and hours recovered. If we can't project positive ROI, we'll tell you before you spend a dollar.
Your data stays yours
Everything runs on your infrastructure. Air-gapped if you need it. We don't require ongoing access to your data after deployment.
Right-sized solutions
A 7B model fine-tuned on your task beats a 400B general model at that specific job. We don't over-engineer and we don't oversell hardware.
We leave you independent
Every engagement includes training and documentation. We build it, hand it over, and your team runs it. No recurring dependency on us.
Stack
NVIDIA CUDA, PyTorch, Hugging Face, llama.cpp, vLLM, FastAPI, PostgreSQL, Power BI. Open-source and industry-standard. No proprietary lock-in. You own everything we build.