Sage 2 Brings Evidence-Backed Extraction
Levanto Labs’ Sage 2 lets developers define fields and receive structured values with source text, making extraction more traceable and reliable. It extends the System One approach beyond decisions into machine-readable data capture.
Sage 2 could become the missing companion to decision models like Jev: extract facts first, then decide what to do with them.
- –Typed outputs reduce fragile JSON parsing and post-processing
- –Source text gives developers an evidence trail for audits and human review
- –Extraction plus calibrated decisions creates a practical pipeline for agents and workflows
- –The key test is whether abstention and provenance remain reliable on messy, ambiguous documents
- –Closed, hosted models will need strong latency, pricing, and benchmark transparency to win adoption
DISCOVERED
1h ago
2026-11-02
PUBLISHED
2h ago
2026-11-02
RELEVANCE
AUTHOR
omarsar0