AI Infrastructure
Search, academic research and model evaluation: how can readers distinguish BooCha, Lunlun and DeepReach?
Use the public portfolio descriptions to distinguish information retrieval, academic research AI and large model evaluation.
At a glance
BooCha, Lunlun and DeepReach all appear under AI Infrastructure, with different emphases. BooCha concerns information retrieval and knowledge discovery, Lunlun concerns AI for academic research, and DeepReach concerns expert-driven large model evaluation.
How is BooCha described?
The website describes BooCha as an intelligent AI search engine technology platform providing information retrieval and knowledge discovery services. Search technology, retrieval and knowledge discovery are the explicit elements of its summary.
These terms provide a way to identify the search-related direction in the portfolio. Its Chinese listing is 博查.
What research setting does Lunlun address?
Lunlun’s description concerns AI for science and an AI brain for academic research. The corresponding Chinese project name is 论论.
The academic research emphasis gives readers a different entry point from BooCha’s focus on information retrieval and knowledge discovery.
What is DeepReach’s focus?
DeepReach is described as an expert-driven large model evaluation engine. Its stated focus is model evaluation, distinguishing it from the search and research descriptions above.
Together, these independent project cards illustrate the variety within the infrastructure category. Each positioning comes from the corresponding listing on the Portfolio page.
Sources
This article summarizes information published on SF Capital’s website. Consult the original pages below for project descriptions and submission instructions.