Engineering & Data

Research Agent

Autonomous deep research and intelligence synthesis

Research Agents conduct comprehensive investigations across structured and unstructured data sources — academic papers, patents, market reports, regulatory filings, news, social media, and proprietary databases. They synthesise findings into executive-ready reports with citations, generate hypotheses, and continuously monitor topics for new developments.

10K+/query

Sources Analysed

92%

Research Time Saved

99.2%

Citation Accuracy

200+

Reports Generated/Week

Core Capabilities

Multi-source research across academic databases, patent offices, regulatory filings, and news

Hypothesis generation and validation using statistical analysis and cross-referencing

Automated literature review with citation mapping and research gap identification

Continuous monitoring with alerts for new publications, patents, and regulatory changes

Executive summary generation with confidence scoring and source provenance tracking

Competitive intelligence with market sizing, trend analysis, and strategic implications

Use Cases

Market research — size markets, identify trends, and assess competitive landscapes

Due diligence — comprehensive background research on companies, individuals, and technologies

Patent landscape analysis — map intellectual property positions and identify white space

Regulatory monitoring — track policy changes across jurisdictions relevant to the business

Academic research — survey literature, identify key findings, and spot emerging research directions

Technology scouting — identify emerging technologies and evaluate their commercial potential

How It Works

Query Decomposition

Complex research questions are broken into sub-queries, each targeting specific data sources and requiring different analytical approaches.

Source Collection

Agents fan out across data sources — web, academic databases, patent offices, SEC filings, news APIs — collecting and deduplicating relevant documents.

Analysis & Synthesis

Collected data is analysed for themes, contradictions, and insights. Statistical methods validate quantitative claims. Cross-references build confidence scores.

Report Generation

Findings are synthesised into structured reports with executive summaries, detailed analysis, visualisations, citations, and recommended actions.

Technology Stack

Semantic SearchAcademic APIsNLP PipelineKnowledge GraphsRAG

Integrations

PubMedGoogle ScholarUSPTOSEC EDGARBloombergFactiva

Content Agent Code Agent