Search Overseer orchestrates multiple specialized AI research agents that collect, critique, and synthesize from diverse, high‑quality sources. Designed for researchers, analysts, journalists, and policy teams who need transparent reasoning—not just an answer.
Blend academic, news, technical docs & open data; reduce single‑source bias.
Independent agents challenge assumptions before synthesizing consensus.
Every conclusion links to supporting snippets, citations & agent arguments.
Academic researchers, investigative journalists, policy analysts, competitive intelligence teams, and anyone validating claims under time pressure.
Enter a query or investigative prompt. Specialized agents retrieve, score and summarize evidence. They debate conflicting viewpoints, converge on a position, and surface dissent where uncertainty remains.
Instead of one opaque model output, you see structured reasoning steps, supporting excerpts, and confidence signals derived from source diversity and agreement metrics.
Your queries aren’t used to train public models. Logs can be anonymized or purged. Fine‑grained source inclusion lets you avoid low‑quality domains.