DJ Insight

Name: DJ Insight
Brand: DJ Mag

DJ Insight's Kagami AI is a video and audio analysis SaaS that estimates in-room engagement, concentration, and drop-off moments in live or hybrid sessions and produces time-series reports with recommended follow-up actions.

LinkedIn 7|Website|FTEs 3

01Competitive Landscape

| Aspect | DJ Insight (Kagami AI) | Qualtrics XM Discover | Microsoft Viva Insights | |--------|------------------------|-----------------------|-------------------------| | Starting Price | Published pricing not available; custom quote (個別見積) | Published pricing not readily available; typically enterprise/negotiated pricing | Varies by Microsoft 365/Viva licensing and add-ons | | Best suited for | Organizations seeking quantification of in-room engagement signals from video/audio for training, roleplay, interviews, or seminars | Enterprises analyzing conversation-based feedback across channels (text/voice/transcripts) | Organizations using Microsoft 365 that need analytics on workplace collaboration patterns and meeting habits | | Key strength | Focus on offline/hybrid nonverbal signal analysis and report-driven recommendations | Broad connectors and conversational analytics across many feedback channels | Integration with Microsoft ecosystem and standardized workplace analytics | | Key weakness | Limited public validation, limited independent reviews, and limited publicly available security/compliance documentation | Not designed primarily for in-room visual nonverbal cues; dependent on data quality/connectors | Not focused on interpreting participant reactions from video; may raise monitoring concerns in some cultures | - Narrative analysis - Differentiation - DJ Insight identifies its focus as quantifying nonverbal signals (facial expression, tone, pauses) to produce reports and suggested improvements for real-world sessions. - Qualtrics XM Discover focuses on conversation analytics across channels and integrations and is positioned around VOC/conversation intelligence. - Viva Insights focuses on workplace habits and collaboration patterns and is not positioned to interpret participant reactions in sessions via camera input. - Where alternatives may be a better fit - For enterprise-scale customer sentiment across multiple channels, conversation-analytics platforms like Qualtrics may be more appropriate. - For meeting-load reduction and collaboration habit analytics within Microsoft-centric environments, Viva Insights is more directly aligned. - For contact-center QA and transcription-based analytics at scale, specialized vendors such as CallMiner are more mature. - Market adoption signals - DJ Insight appears early-stage (recently founded; has announced early-stage funding), which suggests limited public adoption to date.

01Competitive Landscape

Aspect	DJ Insight (Kagami AI)	Qualtrics XM Discover	Microsoft Viva Insights
Starting Price	Published pricing not available; custom quote (個別見積)	Published pricing not readily available; typically enterprise/negotiated pricing	Varies by Microsoft 365/Viva licensing and add-ons
Best suited for	Organizations seeking quantification of in-room engagement signals from video/audio for training, roleplay, interviews, or seminars	Enterprises analyzing conversation-based feedback across channels (text/voice/transcripts)	Organizations using Microsoft 365 that need analytics on workplace collaboration patterns and meeting habits
Key strength	Focus on offline/hybrid nonverbal signal analysis and report-driven recommendations	Broad connectors and conversational analytics across many feedback channels	Integration with Microsoft ecosystem and standardized workplace analytics
Key weakness	Limited public validation, limited independent reviews, and limited publicly available security/compliance documentation	Not designed primarily for in-room visual nonverbal cues; dependent on data quality/connectors	Not focused on interpreting participant reactions from video; may raise monitoring concerns in some cultures

Narrative analysis
- Differentiation
  - DJ Insight identifies its focus as quantifying nonverbal signals (facial expression, tone, pauses) to produce reports and suggested improvements for real-world sessions.
  - Qualtrics XM Discover focuses on conversation analytics across channels and integrations and is positioned around VOC/conversation intelligence.
  - Viva Insights focuses on workplace habits and collaboration patterns and is not positioned to interpret participant reactions in sessions via camera input.
- Where alternatives may be a better fit
  - For enterprise-scale customer sentiment across multiple channels, conversation-analytics platforms like Qualtrics may be more appropriate.
  - For meeting-load reduction and collaboration habit analytics within Microsoft-centric environments, Viva Insights is more directly aligned.
  - For contact-center QA and transcription-based analytics at scale, specialized vendors such as CallMiner are more mature.
- Market adoption signals
  - DJ Insight appears early-stage (recently founded; has announced early-stage funding), which suggests limited public adoption to date.

Aspect

DJ Insight (Kagami AI)

Qualtrics XM Discover

Microsoft Viva Insights

Starting Price

Published pricing not available; custom quote (個別見積)

Published pricing not readily available; typically enterprise/negotiated pricing

Varies by Microsoft 365/Viva licensing and add-ons

Best suited for

Organizations seeking quantification of in-room engagement signals from video/audio for training, roleplay, interviews, or seminars

Enterprises analyzing conversation-based feedback across channels (text/voice/transcripts)

Organizations using Microsoft 365 that need analytics on workplace collaboration patterns and meeting habits

Key strength

Focus on offline/hybrid nonverbal signal analysis and report-driven recommendations

Broad connectors and conversational analytics across many feedback channels

Integration with Microsoft ecosystem and standardized workplace analytics

Key weakness

Limited public validation, limited independent reviews, and limited publicly available security/compliance documentation

Not designed primarily for in-room visual nonverbal cues; dependent on data quality/connectors

Not focused on interpreting participant reactions from video; may raise monitoring concerns in some cultures

DJ Insight

01Competitive Landscape

02Market Map

01Competitive Landscape

02Market Map