SearchPilot decomposes a question into sub-questions, runs parallel retrieval across the open web, weighs source quality, and synthesizes a cited intelligence brief you can defend in a meeting.
Most AI search products retrieve a handful of pages and paraphrase them. Deep research is a different task: it needs a plan, breadth of retrieval, evidence weighting, and an explicit account of what remains uncertain.
SearchPilot runs an observable pipeline — Interpret, Decompose, Retrieve, Evaluate, Synthesize, Report — so you can inspect every step instead of trusting a black box.
Each query becomes a research run with a visible plan. You watch sub-questions form, sources arrive, and evidence get scored in real time.
Start with a 30-second read and descend as far as the decision requires — Quick answer, Explained, Deep Dive with charts, and a full Intelligence Report.
Every claim carries a source. Every source carries a score. Where evidence disagrees, SearchPilot shows the disagreement instead of averaging it away.
| Dimension | Conventional tools | SearchPilot |
|---|---|---|
| Query handling | Single retrieval pass | Planned multi-step decomposition |
| Source quality | Rank by popularity | Credibility + evidence scoring |
| Conflicting evidence | Hidden or averaged | Surfaced as contradiction pairs |
| Output | Chat paragraph | Layered brief + report |
What is deep research AI?
Deep research AI is a system that treats a question as a project rather than a lookup: it plans sub-questions, retrieves many sources, evaluates their reliability, and synthesizes a cited answer with stated confidence and open questions.
How is deep research different from an AI chatbot?
A chatbot generates fluent text from a short retrieval pass or memorized training data. Deep research runs an auditable retrieval-and-evaluation pipeline, cites each claim, and reports where sources disagree.
How long does a deep research run take?
In SearchPilot's demo environment a run resolves in seconds. In production-style workloads, deep runs are designed for the one-to-five-minute range where breadth of retrieval matters more than latency.
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