Founder-led engineering studio

AI-augmented product engineering.
Private LLM deployment.

We ship production software faster with AI-accelerated engineering — and put capable AI on your own hardware, so client data never leaves your building.

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Open-source tooling on GitHub · Published hardware benchmarks · Case studies · Founder-led — you work with the engineer

Three ways to start

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From $X,XXX

AI Readiness Sprint

A fixed-scope audit of where AI actually fits your product and workflows — and where it doesn't.

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From $X,XXX

Private LLM Pilot

Deploy a capable LLM on your own infrastructure and prove it works before you commit further.

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From $X,XXX

Legacy Modernization Assessment

A clear-eyed audit of your current stack, its real risk, and the fastest safe path forward.

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Full-stack, beyond AI

SaaS, websites, ERP, and CRM — built end-to-end.

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SaaS Development
End-to-end product builds, from prototype to something your team can scale.
Websites & Web Apps
Fast, modern sites and web apps — built on the same static-first principles as this one.
ERP Systems
Custom-built around how your business actually operates.
CRM Systems
Tailored to your sales process, not a generic template.
Why founder-led

You get the engineer, not an account manager.

Every project is scoped, built, and shipped by the person who understands it end to end — no handoffs, no telephone game. And when the work is private AI, it runs on your own infrastructure by design: capable models, deployed on-premise, so sensitive data never leaves your building.

On-premise deployment
Your data stays on your infrastructure — never shipped to a third-party API.
Founder-led
Direct access to the engineer designing and building your system.
Open-source benchmarks
Published, reproducible hardware and inference testing.
Fixed-price sprints
Scoped engagements with a defined outcome — not an open-ended clock.

From the Lab

Hardware benchmarks and deployment guides nobody else is publishing.

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Benchmark
Ryzen AI HX 370 + Radeon 890M: llama.cpp Benchmarks on Consumer Hardware
Comparison
ROCm vs Vulkan for Local Inference: A Practical Comparison
Guide
KV-Cache Quantization: A Practical Guide

Let's scope your project.

Thirty minutes. No deck, no account manager — just the engineer who'll build it.

Book a 30-minute consultation