Preserve intent.
Entities, dates, constraints, and requested fields stay explicit while agent-sized prompts become search-native queries.
Evidence
before answers.
Arlong is building the secure web-retrieval layer for AI agents: a system that turns complex requests into focused searches, treats pages as untrusted input, and keeps the evidence trail attached to every useful answer.
Assume the web is hostile.
Page reputation, content safety, relevance, and factual reliability are separate decisions—not one opaque score.
Show what supports the answer.
Candidate checks, contradictions, missing evidence, and source independence remain visible to the caller.
The founding team
Built with a shared conviction.
AI should make the open web more useful without making uncertainty invisible.