OmniSynth

The Problem The volume of scientific literature published every year has grown beyond any individual researcher's capacity to process. Entering a new field, preparing a literature review, or simply staying current with a domain means reading dozens to hundreds of papers, manually pulling out the concepts that matter, tracking how ideas connect across authors and years, spotting contradictions, and eventually forming new research directions from all of it. This process is slow, cognitively exhausting, and bottlenecked by human reading speed. Existing tools either help you find papers or let you chat with a single document. Researchers are still left to do the hardest cognitive work entirely on their own. What OmniSynth Does OmniSynth is a full-stack multi-agent AI research platform that takes a collection of academic papers and transforms them into an interactive knowledge workspace, automatically and end to end. It does not just retrieve or summarize. It ingests, structures, maps, critiques, hypothesizes, and writes, coordinating six specialized AI agents to mirror the way a skilled research team actually divides labor. Ultimately it should help researchers to focus more on making the critical, more exciting and important strategic decisions in their research. work. The result is a living knowledge base: an interactive concept graph, structured per-paper wikis, a gap analysis, scientific hypotheses, and research briefs, all generated in minutes from raw PDFs uploaded directly into the app.