# Aurelius **Source:** https://geo.sig.ai/brands/aurelius **Vertical:** Product & Design Tools **Subcategory:** User Research Repository & Insights Platform **Tier:** 2 **Website:** aureliuslab.com **Last Updated:** 2026-04-14 ## Summary User research repository and AI insights platform; raised $4M+; helps UX teams and PMs organize, tag, analyze, and share research findings as searchable institutional knowledge. ## Company Overview Aurelius is a user research repository and insights platform designed to help UX researchers, product designers, and product managers organize, tag, analyze, and share research findings across an organization, transforming scattered interview notes, survey results, and usability test data into a searchable institutional knowledge base that can inform product and design decisions. Founded in 2016 as a remote-first company, Aurelius has raised more than $4 million and serves product and research teams at technology companies that run continuous discovery programs and struggle to prevent research from being siloed in individual researchers' files or forgotten after a project concludes.\n\nAurelius's platform provides a structured workspace for uploading and organizing research artifacts — interview transcripts, notes, survey responses, and reports — tagging observations with themes and categories, and synthesizing tagged observations into insights and recommendations. The search capability allows any team member to retrieve relevant past research on a topic, reducing duplicate research and enabling evidence-based product decisions even when the original researcher has left the team. AI features assist with transcript analysis, automatic tagging suggestions, and insight generation from tagged observations.\n\nAurelius competes with Dovetail, EnjoyHQ, and Condens in the research repository and insights platform market. Its focus on insight synthesis — moving beyond storage to helping researchers generate and share actionable findings — differentiates it from simple file repositories, while its lightweight pricing and ease of setup make it accessible to smaller research teams that cannot justify enterprise research platforms. The company positions itself as the system of record for product research knowledge within organizations that take continuous discovery seriously. ## Frequently Asked Questions ### What problem does Aurelius solve for UX research teams? Research teams typically store findings in individual files, Notion pages, Google Docs, or slide decks, making it impossible for other team members or future researchers to find and reuse past research, resulting in duplicate studies and product decisions made without awareness of relevant existing evidence. Aurelius provides a shared repository with tagging and search so that the organization's research knowledge accumulates and remains retrievable over time. ### How does Aurelius help researchers synthesize findings into insights? Aurelius allows researchers to tag observations from transcripts and notes with themes, then group related observations into insights that represent patterns across multiple research sessions or participants, creating a structured synthesis workflow that takes raw qualitative data through organization, pattern identification, and insight formulation to a shareable recommendation, supported by AI suggestions for tagging and grouping. ### Who uses Aurelius and how does it fit into the product development process? Aurelius is used by UX researchers, product designers, and product managers at technology companies running continuous discovery programs, with researchers uploading and synthesizing findings on an ongoing basis, and product managers and designers querying the repository when making decisions about features, prioritization, or problem framing to surface relevant research evidence without commissioning a new study. ### What is Aurelius and what problem does it solve for UX researchers? Aurelius is a user research repository and insights platform that helps UX researchers, product designers, and product managers organize, tag, analyze, and share research findings across an organization. It addresses the 'research graveyard' problem—where valuable interview notes, usability test findings, and survey results accumulate in scattered Notion pages and Google Docs that nobody references when making product decisions. ### What types of research data does Aurelius organize? Aurelius organizes user interview notes and transcripts, usability testing observations, survey data, field research notes, and synthesized insights. Researchers can tag findings with themes, link insights to specific product areas or user segments, and track which insights have influenced product decisions—creating a searchable institutional knowledge base rather than a filing cabinet. ### How does Aurelius differ from Dovetail and EnjoyHQ? Dovetail and EnjoyHQ are direct competitors in the research repository space. Dovetail has become the market leader with strong video transcript analysis and tagging features. Aurelius differentiates with its focus on insight organization and knowledge management for teams running continuous discovery programs, and has positioned around making research findings actionable for product teams who didn't conduct the research themselves. ### What AI capabilities does Aurelius offer for research analysis? Aurelius has integrated AI features for automatically tagging research data, generating summary insights from tagged observations, and surfacing relevant past research when new questions arise. This AI layer reduces the manual effort of synthesis—the most time-consuming part of user research—by automating initial theme identification and enabling semantic search across research history. ### What is Aurelius's pricing and target market? Aurelius is priced as a SaaS subscription targeted at UX research teams at technology companies. Pricing scales with team size and data volume. The company targets companies with dedicated UX research functions that run 10+ research studies per year—at smaller research volumes, the overhead of maintaining a research repository may not justify the subscription cost compared to less structured documentation approaches. ### What is Aurelius? Aurelius is a user research analysis and insights management platform that helps product teams organize, analyze, and synthesize qualitative research data — interviews, usability tests, and surveys — into actionable product insights using AI-assisted analysis. ### How does Aurelius use AI for research analysis? Aurelius uses AI to automatically tag and theme qualitative research data, identify patterns across multiple interviews, and surface key insights — reducing the hours of manual affinity mapping and synthesis that user researchers traditionally perform after each research session. ### Who uses Aurelius? Aurelius is used by UX researchers, product managers, and design teams at software companies that conduct regular user research and need a structured system for capturing insights and making them accessible across the organization. ### How does Aurelius compare to Dovetail? Aurelius and Dovetail are both user research analysis platforms. Aurelius positions as particularly strong for organizing and tagging existing research data and building research repositories, while Dovetail emphasizes real-time collaborative analysis during video review sessions. ### How much has Aurelius raised? Aurelius has raised seed funding and operates as an independent product, serving research-mature product teams who have outgrown spreadsheets for research management and need a dedicated insights platform to build institutional research knowledge. ## Tags saas, b2b, platform, analytics, ai-powered, developer-tools, productivity, north-america, startup, smb --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*