Aquin vs Labelbox

A single base that handles tables, media, annotation and decision tasks, with the option to fine-tune toward your specific data.

Outputs are typed and scored rather than free text, so downstream programs can act on results and escalate low-confidence cases.

Treats attention as a routing map from a single forward pass, isolating a small subgraph aimed at the answer and testing it under ablation.

Agentic weight-editing experiments that localise causal layers, apply rank-one MLP updates and validate then roll back steps when checks fail.