Sider Deep Research

Rather than returning a list of search results, Sider Deep Research does the reading, analysis, and synthesis itself delivering a structured, trustworthy report that a researcher would typically spend hours or days producing.

The platform's multi-model approach draws on GPT-5, Claude Sonnet 4, Gemini 2.5 Pro, and Grok 4 simultaneously using the complementary strengths of different AI systems to produce research that is more accurate, more nuanced, and less prone to the single-model blind spots that affect AI research tools relying on one underlying system.

Cross-validation across sources and models is built into the research workflow.

A specialised Scholar Deep Research mode searches across a curated database of 350 million trusted academic papers providing access to peer-reviewed literature that standard web search cannot surface effectively.

This makes Sider Deep Research particularly valuable for students, academics, policy researchers, and professionals who need their research grounded in published, citable science rather than general web content.

The Wisebase knowledge base system allows users to store research findings, highlight key information, add notes, and build a personal knowledge repository that grows with every research session.

Materials saved to Wisebase can be queried conversationally asking follow-up questions, making connections across saved research, or requesting summaries of stored content transforming the knowledge base into an interactive research partner rather than a passive archive.