Mihup
Reviews
Star rating
Rank in Speech Analytics
Pros and cons
Pros
- Accuracy
- Ease of Use
- Features
- Efficiency
- Artificial Intelligence
- Conversation Analysis
Cons
- User Interface Issues
- Improvement Needed
- Poor UI Design
- Complexity
- Learning Curve
- Slow Performance
Traffic & LLM citations
Source: G2 review data
Winning from
Losing to
Key stats
Adoption by company size
| Segment | Share of reviews |
|---|---|
| Small Business | 25.0% |
| Mid-Market | 57.4% |
| Enterprise | 17.6% |
Quarterly history
| Quarter | Reviews | Star rating |
|---|---|---|
| 2024 Q4 | 24 | 4.8 |
| 2025 Q1 | 9 | 4.5 |
| 2025 Q2 | 9 | 4.5 |
| 2025 Q3 | 9 | 4.9 |
| 2025 Q4 | 6 | 4.4 |
| 2026 Q1 | 1 | 5.0 |
Satisfaction ratings
What reviewers say
Automates Audio Analysis, Boosts Service Quality
“What I like the most about Mihup is its ability to analyze conversation and automatically detect emotions and key topics. This feature stands out because it helps us understand customers better without having to listen to every call, making the process faster. It significantly he”
Practical
“this platform turns voice and text interactions into practical, actionable intelligence with remarkable speed”
Impressive Language Support and Enterprise Features, Minor Room for Growth
“Can understand Indian languages & dialects, code switching, regional accents etc. Live alerts during calls, compliance monitoring, sentiment shifts, agent guidance. Both cloud and on premises deployment options. Target sectors like automotive, BFSI, contact centres etc., so capab”