Private AI, Your Infrastructure, Your Data

Frontier Models.
Your Infrastructure.
Complete Privacy.

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.

RAM Compression

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.

Watchman Governance

Audit every compressed model before it goes live. Watchman tells you which capabilities are preserved, at risk, or degraded, with compliance-ready reports and LLM security scanning built in.

Custom Knowledge Transfer

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.

AI Governance & Capability Assurance

Watchman.
Know What You're Deploying

Before deploying a quantized model, know exactly what you're getting. Watchman audits every compressed model and tells you which capabilities are preserved, which are at risk, and which are degraded, in minutes, not weeks.

  • Capability audit, verified capability certification for any quantized model before it goes into production
  • Compliance-ready, auditable capability preservation reports for regulated industries
  • Smart memory targeting, find the exact budget where your required capabilities are preserved, not a round number
  • Instant diagnostics, trace any capability regression to its exact source in minutes, not weeks of ablation

What Watchman Delivers

Capability Certification

Know which capabilities survive compression before you build, not after you ship

Regulatory Compliance

Verifiable, auditable reports that prove capability preservation to regulators and compliance teams

Instant Diagnostics

Trace any capability regression to its exact tensors in minutes, not weeks of ablation experiments

10x Less Evaluation Cost

Replace hundreds of GPU hours of benchmarking with a 5-minute capability prediction

Cost Savings & Governance

Half the Hardware.
All the Intelligence.

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.

  • 50–60% smaller, a 62GB model becomes 31GB, fitting a single GPU instance instead of a multi-GPU rig
  • Under $9k/year, run a compressed 31B model 10 hours a day on AWS, Azure, or GCP, versus $50–100k+ for API equivalents
  • Proven quality, Watchman capability audits verify that compressed models match full-precision performance before they reach production
  • Compliance-ready, auditable capability reports, LLM security scanning, and regulatory evidence that your deployment is governed

The Savings Stack

50%

Less Hardware Required

Halve your GPU memory requirements. One instance instead of two. One Mac instead of a cluster.

90%

Lower Than API Costs

Run your own model for under $9k/year versus $50–100k+ in API fees, with complete data privacy.

0%

Quality Loss

RAM-compressed Gemma 4 31B matches the published BF16 benchmark score. Watchman certifies it before deployment.

22

Security Probes

Every model scanned for prompt injection, data leakage, hallucination, malware generation, and XSS before it ships.

Ready to Make AI Smaller, Smarter, and Yours?

Original research in quantization, training, and distillation, engineered to run on infrastructure you control.

Let’s put frontier intelligence on your hardware.

Talk to Our Team