QuantizedLab delivers end-to-end compression, custom neural adaptation, and native runtime engines for enterprises demanding zero-cloud sovereign intelligence.
Transform your proprietary enterprise models (7B to 70B parameters) into ultra-dense 1.58-bit and 2-bit sovereign binaries with zero retraining required and guaranteed mathematical perplexity retention.
Request Compression Quote →Embed native, high-performance foundation model inference directly into your mobile apps, games, and autonomous robotic systems with zero cloud dependencies.
Explore Developer SDK →Elevate compact 1.5B and 8B edge models to frontier 70B-class reasoning in your specific industry domain (medical, legal, financial, robotics, NPC dialogue).
Order Custom Domain Cartridge →Direct hardware optimization contracts for OEMs, semiconductor designers, and device manufacturers seeking maximum token throughput on specific SoCs.
Consult Hardware Engineers →Turnkey, completely offline AI appliances designed for defense, intelligence, and clinical healthcare environments where cloud connectivity is prohibited.
Schedule Security Briefing →Whether you need rapid one-shot compression of an existing model or custom intelligence elevation for domain specialization.
Take your existing HuggingFace or fine-tuned model and compress it directly to 2-bit with zero retraining, zero dataset sharing, and zero GPU training costs.
For enterprises whose mobile models must punch above their weight class, competing with 7B or 70B models on math proofs, code synthesis, or clinical triage.
From initial weight intake to certified on-device deployment in 4 seamless stages.