Expert models right-sized for enterprise workflows — benchmarked against frontier models, validated in production, across the tasks that define your business.
USF-1 Mini leads across 28 benchmark task categories. Results validated April 2026.
General models carry the weight of everything they'll never use in your deployment. Expert models don't. A 0.1B model trained on your domain doesn't need to know Shakespeare — it needs to know your workflows.
That focus is why USF-1 Mini achieves 90% MMLU at a fraction of frontier scale — and why benchmark parity at lower scale drives the 5–8× cost reduction.
Beats GPT-4o, DeepSeek, and Gemini on targeted tasks — the benchmark categories that correspond directly to client industry workflows.
Every metric below comes from active client deployments — not controlled benchmarks. Real workflows. Real data. Real perimeter.
Radiologist-ready impressions generated in each physician's voice. Radiologists review and accept — not rewrite.
Government enterprise automates reconciliation and supply chain workflows — producing the exact artifacts staff need at the exact processes they follow.
Global advertising platform classifies video content across 50 parameters per request, powering real-time ad placement decisions.
Global payroll company expands into new markets using air-gapped UltraSafe models. Client payroll data never leaves the secure perimeter.
Right-sized expert models need less compute, less memory, and less infrastructure than general-purpose LLMs. The savings compound at scale.
No per-token API markup. No cloud egress fees. No per-seat licensing. Every inference runs inside your perimeter.
Our AI qualifies your use case and books a meeting with our team — in minutes, not days.