Frame AI vs. Eclipse AI
A side-by-side comparison based on G2 review data.
| Metric | Frame AI | Eclipse AI |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 22 | 31 |
| Ease of use | 7.8 | 8.7 |
| Ease of setup | 8.0 | 9.1 |
| Quality of support | 10.0 | 9.8 |
| Meets requirements | 8.8 | 8.8 |
| NPS | 68.181818 | 80.645161 |
| Small Business | 13.6% | 41.9% |
| Mid-Market | 72.7% | 48.4% |
| Enterprise | 13.6% | 9.7% |
| Total page views | 44 | 56 |
| Total LLM citations | 186 | 71 |
Frame AI
Frame AI is how the world’s biggest companies proactively unlock the hidden value of their data with Stream-Trigger Augmented Generation (STAG). STAG, pioneered by the PhD-led team at Frame AI, applies generative data analysis to complex natural language. The Frame AI platform synthesizes predictive signals into workflow triggers across systems, enabling organizations to orchestrate and activate unstructured data for the first time. The Frame AI platform is designed for proactivity. Rather than waiting for user queries like RAG-based chatbots e.g.
Eclipse AI
Eclipse AI is a generative AI tool that helps predict and prevent customer churn. Eclipse AI unifies and analyses your omnichannel voice-of-customer data and gives you actionable intelligence to drive retention.