Product launches, case studies, and analysis on AI deep research workflows. First posts publishing shortly.
The blog is where we publish product notes, research workflow breakdowns, launch updates, and field notes from building a source-backed research workspace. The goal is practical: how to turn loose questions, PDFs, links, and web evidence into reports that stay checkable.
While the first posts are being prepared, the strongest evergreen material already lives in the methodology library. Read what deep research means, compare Innogath with Perplexity or NotebookLM, or explore how citation-backed reports work.
A practical explanation of what makes a research workflow different from a long chat answer: source discovery, evidence review, citation binding, and synthesis.
Read the guide Product notesComplex research rarely stays linear. Branching pages keep parent context while letting a subquestion become its own workspace, report, and diagram.
See the feature Buying decisionsChat assistants, answer engines, notebook tools, and visual knowledge bases solve different jobs. The comparison hub explains where each category fits.
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Innogath