RAM compression shrinks frontier models by 50–60%, making private AI in your cloud or on your hardware genuinely feasible. Run a 31B model on a single GPU instance in AWS, Azure, or GCP, or on a Mac Studio with zero cloud dependency. Your data never leaves your infrastructure.
Shrink frontier models by 50–60% with zero quality loss. A 31B model compressed to 31GB matches the full-precision benchmark scores. Runs on a single GPU instance or a Mac Studio.
Verify a model is what it claims to be before you deploy it. Watchman detects and classifies weight modifications in third-party and compressed releases, and produces evidence-grade audit reports and AI-BOM attestations for your security and compliance teams.
Bring your domain expertise into a model that's built to deploy. Our SAT and SAKD techniques create domain-adapted models that capture your proprietary knowledge and are compression-ready from day one.
You deploy models you didn't train. Watchman verifies a model is what it claims to be — detecting weight modifications hidden inside third-party and compressed releases, classifying what changed, and producing the evidence your auditors require, in minutes, not weeks.
Know whether a model's weights were modified beyond declared quantization — and what kind of change it was
Evidence-grade reports and AI-BOM attestations mapped to the EU AI Act, NDAA/DFARS, OMB and AI-BOM requirements
Pinpoint where in the network a modification concentrates — by component and by depth — in minutes
Deterministic exit codes gate your model registry; runs on-prem and air-gapped, nothing leaves your environment
RAM-compressed models run on 50–60% less hardware than full-precision equivalents, with no measurable loss in capability. That means smaller GPU instances, lower cloud bills, and hardware you can actually budget for. And with Watchman, you can prove nothing was lost.
Halve your GPU memory requirements. One instance instead of two. One Mac instead of a cluster.
Run your own model for under $9k/year versus $50–100k+ in API fees, with complete data privacy.
RAM-compressed Gemma 4 31B matches the published BF16 benchmark score. Watchman certifies its provenance before deployment.
Watchman's provenance detection is validated across five model families, with every report stating its accuracy and limitations in full.
Original research in quantization, training, and distillation, engineered to run on infrastructure you control.
Let’s put frontier intelligence on your hardware.
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