AI is powerful, but it is time- and labour-cost to build AI models. Also, there are some technical bottlenecks required from technology to products. These make many small and medium-sized enterprises unable to benefit from AI models. We are here to help build custom AI models, convert traditional companies to data-driven mode and save costs on maintaining a data team.
Broad applications from low- to high-level CV scenarios, including but not limited to image recognition, segmentation, video prediction, medical image processing etc.
Both traditional computer vision models and deep models.
Large-scale and efficient models
Support multi-language model building, especially for English and Chinese.
Development of linguistics, statistical, and deep NLP models.
Different applications such as text classification, sentiment recgnition, and recommend systems.
Traditional and deep AI models for Structured and unstructured data.
Various application fields such as risk management in FinTech even traffic monitoring.
In addition, statistical signal processing algorithms development, analog and digital signal processing design.
Support physical information security, cyber security and bio-info security.
Solutions with shallow and deep models
Keep the performance while using fewer resources.
Support multiple strategies.
Data-centric approach for model design, even a handful of data can have a high performance by transfer learning.
Consider both efficiency and performance.
Provide the developed model, API and detailed documents for your future maintenance.
One-stop AI model services. The CV, NLP etc scenarios are usually connected. We are good at them and build the model with a systematic approach. Our service can save you time and cost compared with the separate approach.
Are you interested in these services?