Ceptile
Autonomous Multi-Source Investigation

AI Deep Research & Search

When a single question demands dozens of web queries, Ceptile Deep Search conducts autonomous, multi-step web investigations to synthesize structured, comprehensive intelligence reports.

What Is Deep Search?

Standard search answers single-hop questions ("What is the capital of Peru?"). Deep Search is engineered for multi-hop research ("Analyze the economic impact of clean energy subsidies on regional battery supply chains between 2024 and 2026"). It formulates an inquiry tree, crawls dozens of independent industry sources, reconciles statistical differences, and produces a structured research briefing.

The Deep Search Pipeline

How autonomous research agents explore multi-layered topics.

01

Research Plan Formulation

Breaks the topic into distinct exploratory dimensions: historical background, current state of art, quantitative benchmarks, industry headwinds, and expert consensus.

02

Iterative Multi-Source Crawling

Executes sequential rounds of searches. If round 1 identifies new key companies or regulatory bills, round 2 automatically crawls those specific entities to unearth primary documents.

03

Cross-Verification & Gap Filling

Checks for evidence consensus across sources. If statistical claims diverge, both perspectives are presented transparently with respective source attribution.

04

Structured Long-Form Synthesis

Produces an executive briefing complete with key findings, thematic breakdown sections, comparative data tables, and an exhaustive citation bibliography.

Deep Search FAQ

Common questions about deep research execution and source limits.