深度研究 Deep Researchv2.0.1

A company wants to understand the competitive landscape of the EV battery market. The agent decomposes the task into segments like market size, key players, technology trends, and supply chain, then spawns parallel sub-agents to research each angle, verify facts, and synthesize a comprehensive report with charts and PDF output.

A PhD student needs a deep dive into recent papers on quantum machine learning. The agent searches academic sources, iteratively fills gaps (e.g., specific algorithms, benchmarks), cross-validates findings, and produces a structured literature review with citations and confidence scores.

A tech startup wants to assess emerging trends in edge AI chips. The agent identifies research angles (architecture, performance, cost, ecosystem), launches sub-agents to gather data, performs gap analysis for future forecasts, and delivers a trend analysis report with risk assessment and opportunity mapping.

A venture capital firm evaluates an investment in a new AI drug discovery platform. The agent researches the company, competitors, market adoption, regulatory landscape, and scientific validity. Sub-agents work in parallel, fact-check claims, and produce a due diligence report with confidence scores.

A multinational corporation wants to understand data privacy regulations across EU, US, and China. The agent auto-detects language needs, spawns sub-agents for each region, searches local sources, compares requirements, and generates a bilingual (Chinese/English) policy comparison report with risk flags.

Offer the research orchestrator as a cloud-based service with tiered plans (e.g., basic, pro, enterprise) per month. Users pay for number of research tasks, parallel agents, and report formats. Revenue comes from monthly subscriptions and pay-per-task for heavy users.

Provide bespoke deep research projects for corporate clients. The agent handles end-to-end research with human oversight. Clients pay per project based on complexity and depth. Revenue is project-based with retainer options for ongoing intelligence needs.

License the research orchestrator as a white-label module for CRM, knowledge management, or business intelligence platforms. Charged per API call or per report generated. Revenue comes from integration licensing and transactional fees on usage.