Your AI stack’s performance starts at ingestion.

Aperture benchmarks extraction, chunking, metadata generation, embedding and vector-write strategies across your document corpus — before architecture decisions harden into production cost.

stages 5components 14corpus synthetic / yours

Configure benchmark Upload your corpus →

Example run

docling

semantic_chunking

text-embedding-3-large

Quality

Runtime

4.2s

Cost

$0.01

Configure a benchmark

Choose a strategy, select the ingestion components to compare, and set the document corpus.

Upload your documents

Bring a representative sample from your actual corpus. Or benchmark against the built-in synthetic set.

Audit run history

Review past recommendations, compare runs across corpus changes, and export evidence for stakeholder sign-off.