#benchmarks

• Context is king in code audits. We train our own models to read 524,000 tokens at once.

  Most code scanners rent a model from someone else. We train ours — extending RoPE past its native range and supervising on real call graphs — measured answering across 524,000 tokens, double the base model's native context window.