SNAC AI LLC is a software studio based in Albuquerque, New Mexico. We design, build, and ship AI-powered products — web platforms, native mobile applications, developer tools, and machine learning infrastructure. Everything from model training to pixel-level frontend work happens in-house.
We started with a simple observation: most AI products are demos. They look impressive in a pitch deck but fall apart when real users show up with real problems. We build the other kind — products that people pay for, rely on daily, and recommend to others.
Our technical range spans the full stack and then some. Frontend and backend web development in Next.js and React. Native iOS apps in Swift and SwiftUI, Android apps in Kotlin and Jetpack Compose. On-device machine learning with CoreML and TensorFlow Lite. Cloud infrastructure on Supabase and Vercel. And deep expertise in large language models — not just calling APIs, but understanding how they're trained, what makes training data good or bad, and how to build reliable AI systems from the ground up.
Watari.co is the easiest website builder on the market. Small service businesses — cleaning companies, contractors, salons, landscapers — describe what they do, and Watari generates a complete, professional website in under five minutes. Not a template. Not a drag-and-drop editor. A finished site with real content, layout, and branding, ready to go live. No design skills required, no technical knowledge needed.
Peace of Mind Browser is a mobile browser engineered for content safety. It runs a four-layer filtering system entirely on-device: a 12-million domain blocklist with O(1) bloom filter lookup, real-time network request interception that scans dynamically loaded content, on-device AI image classification using CoreML (iOS) and TensorFlow Lite (Android), and natural language content analysis with Unicode normalization, homoglyph detection, and fuzzy matching. Nothing leaves the device — no browsing history, no images, no URLs are ever sent to a server. Currently in development for iOS and Android.
Muichiro.ai is a training data generation platform for machine learning teams. The core problem it solves: public datasets are filled with deprecated code patterns, and enterprise data vendors charge $10K–50K+ with month-long timelines. Muichiro generates custom datasets using real-time documentation lookup — your code examples use current APIs, not last year's syntax. Multi-stage quality control, delivered in hours, starting at $5 for a sample.
Beyond our product line, we're tracking developments in wet compute — biological computing systems that use living neurons as computational substrates. Labs like Cortical Labs have demonstrated that biological neural networks can learn to play Pong faster than conventional AI. We believe the intersection of biological systems and artificial intelligence represents a fundamental shift in how computation works, and it's a space we intend to contribute to as the technology matures.
SNAC AI was founded by Jordan Z. Wiley. Jordan started studying machine learning as a mathematics and statistics major at UC Santa Barbara in 2017 — before transformers, before GPT, when the field looked completely different. Since then, he's worked across data engineering, marketing, and full-stack software development, building a breadth of experience that shapes how SNAC AI approaches product development.
His deepest technical expertise is in pre-training and building large language models: understanding training data quality, tokenization, architecture decisions, and the infrastructure that makes models actually work in production. He leads product development, engineering, and business strategy across all SNAC AI products.