Inquisite

Unlike general-purpose AI chat tools that generate responses from training data alone, Inquisite operates as an agentic research engine that actively searches multiple information sources, evaluates their credibility, and constructs evidence-based responses with explicit citations for every claim.

The research engine at Inquisite's core uses a multi-stage agentic process.

When a research query is submitted, the AI determines the optimal sources to search, performs a broad initial sweep, reviews each source for relevance, scores sources on both relevancy and credibility, and synthesizes the vetted information into a coherent response.

This process mirrors how a rigorous human researcher would approach a literature review, but completes it in seconds rather than hours or days.

Source transparency is a defining commitment of the platform. Every fact or claim in an Inquisite response is accompanied by its source citation, along with relevance and reliability scores that allow users to evaluate the quality of the evidence underlying each point.

This citation-first approach makes Inquisite particularly valuable in professional and academic contexts where the provenance of information matters as much as the information itselfand where AI-hallucinated facts without citations can cause serious problems.

The document creation layer extends Inquisite beyond simple Q&A into the production of complete professional outputs. Research reports, articles, presentations, and proposals can be built directly from the research session, with the AI assisting in structure, drafting, and refinement.