CUTEADMOA is a self-hosted AI platform with CuttyMOA-1.3 at its core — a 262K-context model trained end-to-end by a single developer, wired into 23+ engines, 24 intents and enterprise scraping.
No signup. Rate-limited public demo served straight from the lab's own hardware. Full-speed API keys available on the platform.
Everything below runs on the same self-hosted stack, orchestrated around the CuttyMOA model family.
23+ engines behind one smart router with cross-validated multi-engine answers.
Smart RouterSelf-trained flagship models — 1.0, 1.2 MoE and 1.3 dense with 262K context.
Self-trained17 cybersecurity intents with severity classification and HTML/DOCX reports.
17 intentsSelenium Chrome automation, 8 extractors, AI extraction, JSON/CSV export, cron scheduling.
Enterprise scrapingThree image engines served through the platform's unified API.
3 enginesSpeech-to-text and text-to-speech across three engines, with native app voice flows.
3 enginesSix macOS control apps plus an iOS/iPad companion — full desktop integration.
6 apps + iOSEntire codebases, contracts and books in a single prompt window.
Long context204 verified datasets across 24 categories feed an always-running improvement loop.
Learning loopEach generation is checkpointed, published on Hugging Face and resumable — nothing is ever lost between runs.
The foundation. Smaller dense base trained on the first CUTEADMOA datasets — proved the whole pipeline end to end.
Mixture-of-Experts scale-up: 35B total / 3B active per token, trained on 204+ verified datasets across 24 categories.
Dense 27B with a 262,144-token context window. QLoRA r=64/α=128, checkpointed every 500 steps, serving this playground right now.