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AMI Market Intelligence
Know how people feel about your product or brand? Do you know what are the key factors that affect purchase decisions? Want to learn more about the competitive intelligence or consumer insights in your industry? These are just some of the questions we can answer in our digital ethnography market research.
Trofi Food Intelligence
We understand, it is not easy to differentiate in an oversaturated marketplace. Food trends in change frequently and consumers crave for new creations. It is tough to innovate on for new food trends while juggling with business operations. How would you do it?
  • Natural Language Processing (NLP)
  • Natural Language Processing (NLP)

    6Estates is a NLP technology leader, especially for processing Chinese language content with 93% accuracy. We index and categorise the data, providing only relevant content to your search. Our proprietary text processing algorithms and knowledge base instantly identify linkages of organisations, people and location. We own more than 30 NLP and text mining algorithms based on deep neural networks models and probabilistic graphical models, helping to perform in-depth analysis of Chinese & English content.

  • Deep Learning
  • Deep Learning

    Deep learning model combines data and knowledge for language translation, comprehension, and image understanding. Combining deep learning with attention modelling helps to visualise and make models more explainable.

  • Knowledge Graph (KG)
  • Knowledge Graph (KG)

    NLP collects semantic analytics, and provides consumption signals and indicators. Knowledge graph will turn these signals and indicators into knowledge of the customer journey and behavior. We build domain specific ontology and knowledge graph for different industry verticals such as finance, entertainment and F&B, to mine implicit entities and discover unknown relationships for casual analysis.

  • Explainable AI
  • Explainable AI

    To achieve explainable AI, we compute and visualise the relevance between two arbitrary neurons in a neural network using layer-wise relevance propagation. We focus on reinforcement learning, transfer learning, and adversarial learning to support small data learning under low-resource conditions.

  • Intelligent Crawling Technologies
  • Intelligent Crawling Technologies

    Distributed intelligent crawling ensures representative and relevant data in real-time.

  • Unstructured Data Analytics
  • Unstructured Data Analytics

    Fusion of data from multiple unstructured data sources: user-centric vs. information-centric, and structured vs. unstructured. Discover communities with user info, detailed domain info, user profile mining and knowledge discovery.