Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Quantified: AI sales coaching and role-play platform for regulated industries, with simulations plus pre-call prep, post-call reflection, and live-call analysis. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Quantified when driving product-launch readiness with compliant practice matters most. Run both through a week of actual calls to see which suits your workflow.
Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time.
AI sales coaching and role-play platform for regulated industries, with simulations plus pre-call prep, post-call reflection, and live-call analysis.
Aurelius is a research repository and insights platform designed for UX researchers, designers, and product teams to manage qualitative research data end to end. It sits between a note-taking tool and a full research repository: teams bring in raw data such as interview notes and transcripts, organize and tag it, and the tool surfaces patterns and helps create reusable insights over time. Core capabilities include centralized storage for research data, note organization, data tagging, theme and pattern identification, and report generation, so findings can be referenced long after a study concludes. Aurelius is built with larger research organizations in mind, supporting consistent taxonomy across projects and keeping insights discoverable as repositories grow, while also enabling multi-team collaboration and research history and archival features. Researchers describe it as a low-effort way to tag and create insights they can reference in later product discussions. The platform positions itself as an alternative to fragmented approaches that rely on spreadsheets, Confluence, or Airtable for storing research. By centralizing qualitative data and making it searchable and well-organized, Aurelius aims to ensure that interview insights remain accessible and actionable across an organization. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Quantified is an AI sales coaching and role-play platform built for regulated industries such as life sciences, medical devices, financial services, and insurance, where conversation quality and compliance both matter. It is organized around a set of AI agents that span the rep lifecycle: AI Roleplay for realistic practice of high-stakes conversations, an AI Readiness Coach for onboarding and certification, an AI Field Coach for pre-call preparation, post-call reflection, and live-call analysis, an AI Authoring agent to build simulations from approved content, an AI Compliance agent that applies regulatory-aware guardrails, and an AI Insights agent that reports on readiness, proficiency, and adherence. Adaptive AI personalizes coaching to each rep's role, experience, and business context so feedback stays relevant as reps progress. The platform is used by large enterprises including major pharmaceutical companies, and is applied to new-hire onboarding, product-launch readiness, certification programs, continuous reinforcement, and even talent screening based on selling behaviors. Quantified concentrates on coaching, simulation, and readiness for sales teams rather than serving as a general meeting-notes tool. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Quantified is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Quantified |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | AI role-play for high-stakes sales conversations |
| Standout feature | Data tagging and note organization | AI Field Coach for pre-call prep, post-call reflection, and live-call analysis |
| Team usage | Theme and pattern identification across research | AI Readiness Coach for onboarding and certification |
| Integrations | Insight creation and report generation | Compliance-aware guardrails for regulated selling |
| Languages & capture | Consistent taxonomy across projects for large repositories | Adaptive AI that personalizes coaching to each rep |
| Best-fit workflow | Multi-team collaboration with research history and archival | Insights agent reporting on readiness, proficiency, and adherence |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Quantified
Choose Quantified if you need onboarding and certifying reps in life sciences or financial services — strengths include purpose-built for compliance-sensitive regulated industries.
Aurelius
Quantified
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Quantified is strong for onboarding and certifying reps in life sciences or financial services. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Quantified is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
More head-to-head comparisons involving Aurelius and Quantified.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Auris AI: Southeast Asia–built AI platform for transcribing audio and video, generating subtitles, and producing meeting and lecture notes across regional languages. The right pick comes down to team size, budget, and the workflows you want to automate.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. AutoMemo: Japanese transcription AI from Sourcenext that records meetings via web app, smartphone app, or dedicated voice recorders, then transcribes, summarizes, and shares. Below, they line up on price, capture method, and how each fits a real meeting stack.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Ava: AI live captioning and transcription app for accessibility, providing real-time captions for conversations and video meetings. This comparison weighs them on pricing, features, and everyday workflow fit.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Aviso AI: End-to-end AI revenue platform whose conversation intelligence records and analyzes sales calls and meetings for B2B revenue teams. The right pick comes down to team size, budget, and the workflows you want to automate.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BB Recorder: A 100% local, no-bot meeting recorder for Mac and iOS that records, transcribes, and summarizes entirely on-device, built by the BuildBetter team. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Backtrack: An AI meeting intelligence tool for trade shows and hosted buyer events that captures 1:1 conversations and turns them into CRM-ready notes and insights. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Balto: Real-time AI guidance and agent-assist platform that coaches contact-center and sales agents live during calls. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BarRaiser: AI interview intelligence platform that records interviews and coaches interviewers for better hiring. The right pick comes down to team size, budget, and the workflows you want to automate.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Basil AI: On-device AI note taker for Apple devices that transcribes and summarizes meetings entirely offline, with no cloud upload. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. BeAware Conference Captioning: AI real-time captioning and translation app for live in-person and hybrid events, with on-screen overlays and multilingual attendee access. Below, they line up on price, capture method, and how each fits a real meeting stack.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Bee: Wearable AI device that captures spoken conversations and turns them into transcripts, summaries, and reminders. This comparison weighs them on pricing, features, and everyday workflow fit.
Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Beey: Web app for automatic transcription, subtitle creation, translation, and live transcription. Below, they line up on price, capture method, and how each fits a real meeting stack.