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.
Read Our ResearchSWAN and MINT compress frontier 400B+ parameter models using data-free mixed-precision quantization — no calibration data, no fine-tuning, under 13 minutes on commodity hardware.
Sensitivity-Aware Training and SWAN/MINT-Guided Knowledge Distillation 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.
Our research programme tackles the full model lifecycle — from how models are trained, to how knowledge is transferred between them, to how they are compressed for deployment. Each breakthrough reinforces the others.
The result: frontier-class intelligence that is smaller, faster, and runs on hardware anyone can buy. No specialised accelerators. No seven-figure infrastructure contracts. Just better science applied to real deployment constraints.
Data-free mixed-precision quantization using sensitivity metrics and rate-distortion optimisation. Compresses 400B+ parameter models in under 13 minutes — no calibration data, no fine-tuning, no GPUs required.
Sensitivity-Aware Training extends SWAN into the training loop itself. Models emerge quantization-ready by construction, with 25% less training memory — eliminating post-training compression entirely.
SWAN/MINT-Guided Knowledge Distillation produces student models that inherit a teacher's intelligence while being deployment-ready from the start. Better knowledge transfer, instant compressibility.
Our research isn't theoretical — it ships. We turn SWAN, MINT, SAT, and SAKD breakthroughs into production AI systems.
SWAN & MINT-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 — 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