Black Sheep AI is a research and deployment firm making frontier AI smaller, smarter, and sovereign. Our original research across quantization, training, and distillation compresses 400B+ parameter models to run on commodity hardware, delivering frontier intelligence at a fraction of the size.
From Australia and New Zealand, our team of AI researchers and deployment engineers bridges the gap between breakthrough research and production reality. We help nations and enterprises build AI capability they fully own and control.
RAM compresses frontier 400B+ parameter models to run on commodity hardware, no cloud infrastructure required.
Our training methodologies produce models that are faster to train, cheaper to run, and deployment-ready by construction.
Frontier intelligence running on infrastructure you own. On-premises, air-gapped, or edge. We help nations and enterprises deploy AI they fully control.
We build the research that compresses frontier models, the products that deploy them, and the governance platform that proves they work. Each layer reinforces the others.
The result: frontier-class intelligence that is smaller, faster, runs on hardware anyone can buy, and comes with auditable proof that its capabilities are preserved.
Verify a model is what it claims to be before you deploy it. Detect and classify weight modifications in third-party and compressed releases, and produce evidence-grade reports and AI-BOM attestations mapped to the EU AI Act, NDAA/DFARS and AI-BOM requirements.
Production-grade model compression platform. CI/CD integration, fleet deployment, and every build certified by Watchman before release.
The research that powers everything. Compresses 400B+ parameter models in under 13 minutes, matching full-precision performance at half the size.
Models born deployment-ready (SAT) and compact student models that keep most of a large model's quality (SAKD). Both compress cleanly with RAM.
Our research isn't theoretical. It ships. We turn RAM, SAT, and SAKD breakthroughs into production AI systems.
RAM-optimised quantization of frontier models for your target hardware. From 400B parameters on a Mac Studio to air-gapped edge devices.
SAT-powered training pipelines that produce models born deployment-ready: 25% less training memory, zero post-training compression needed.
SAKD-guided distillation creates compact student models that inherit frontier intelligence while being instantly compressible for any deployment target.
End-to-end deployment on your infrastructure, whether on-premises, air-gapped, or edge. Agentic workflows, RAG architectures, and production monitoring included.
Our research is grounded in empirical evidence, tested across multiple architectures, thousands of tensors, and real production workloads.
We've published over 20 original research articles on quantization, training, and distillation. Every claim comes with data, every method ships to production.
The principles behind every model we compress, every system we deploy.
Every capability we offer is backed by our own original research. We don't resell, we invent, test, and deploy.
Claims backed by data. We publish our methods, our metrics, and our results, openly and in detail.
Research that doesn't ship is a hobby. Everything we build is engineered for production: monitored, resilient, and running on your infrastructure.
We bring original research, production engineering, and sovereign deployment expertise, all from one team.
Talk to Our Team