Aurelius: Research repository and insights platform for tagging interview data, surfacing themes, and keeping qualitative insights discoverable over time. Kendo AI: AI sales training and management platform with human-like roleplay, automated call scoring, and targeted coaching. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aurelius when organizing and tagging interview transcripts and notes matters most, and Kendo AI when automatically scoring real sales calls against a chosen methodology 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 training and management platform with human-like roleplay, automated call scoring, and targeted coaching.
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
Kendo AI is an AI sales training and management platform that combines human-like roleplay simulations with automated call review and coaching. Reps practice against customizable AI prospects that raise realistic objections across call types including cold calls, discovery, and closing, using a custom prospect builder that lets teams set job titles, company sizes, and conversational styles. Beyond practice, Kendo automatically reviews real sales calls using custom scorecards built on methodologies such as BANT or MEDDPICC, providing consistent scoring and specific, actionable feedback rather than surface-level notes. The platform can ingest winning call recordings and analyze what made them successful so that those patterns inform coaching. A centralized context system organizes calls, scripts, frameworks, objections, and historical data so insights are shared across the team, and integrated coaching assigns targeted training to individual reps based on their identified weaknesses instead of generic group sessions. Kendo supports practicing in multiple languages with various accents and is positioned by its makers as an AI sales manager that makes human reps better. Customers cite reduced ramp time and lower onboarding costs. The product is actively operating in 2026 and serves sales teams looking to unify roleplay, call scoring, and analytics. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Aurelius is a free tier with paid upgrades (freemium); Kendo AI is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Aurelius | Kendo AI |
|---|---|---|
| Core capability | Centralized repository for interview notes and transcripts | Human-like AI roleplay with a custom prospect builder |
| Standout feature | Data tagging and note organization | Automated call review using custom scorecards (BANT, MEDDPICC, etc.) |
| Team usage | Theme and pattern identification across research | Analysis of winning call recordings to surface success patterns |
| Integrations | Insight creation and report generation | Centralized context system for calls, scripts, and objections |
| Languages & capture | Consistent taxonomy across projects for large repositories | Targeted coaching assignments based on individual rep weaknesses |
| Best-fit workflow | Multi-team collaboration with research history and archival | Multi-language and multi-accent practice support |
Aurelius
Choose Aurelius if you need organizing and tagging interview transcripts and notes — strengths include keeps interview insights discoverable and reusable over time.
Kendo AI
Choose Kendo AI if you need practicing cold calls and discovery against tailored ai prospects — strengths include unifies roleplay practice, live-call scoring, and coaching in one platform.
Aurelius
Kendo AI
It depends on your workflow. Aurelius is strong for organizing and tagging interview transcripts and notes, while Kendo AI is strong for practicing cold calls and discovery against tailored ai prospects. Both transcribe and summarize meetings.
Aurelius is a free tier with paid upgrades and Kendo AI 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.
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