Our team has successfully implemented AI and Big Data initiatives in various sectors such as E-commerce, Education, FMCG, Insurance, Healthcare, and Finance - each with customized use cases that address specific industry needs.

Absolutely. Alongside our experienced technical team, we offer strategic consulting in AI and Big Data. Our CDAO, Dr. Henry Nghiem, holds a PhD and has extensive experience in delivering impactful, high-level solutions for complex client challenges.

Yes, our team is experienced in deploying on both cloud platforms (AWS, Azure, GCP) and private infrastructure environments.

Our capabilities in Productized AI cover Machine Learning, Deep Learning, Computer Vision, and NLP. Most recently, we've applied state-of-the-art Large Language Models—including OpenAI and LLaMA—to develop intelligent solutions for clients in markets such as Korea and Australia.

Yes, our LLM projects consistently incorporate both fine-tuning and Retrieval-Augmented Generation (RAG) to align with client-specific needs.

We have worked with a variety of platforms for Big Data governance, including Hadoop, Spark (Databricks), and Kafka for data streaming. We've also implemented Data Lakes using AWS (S3, Glue, Lambda, Athena) and Azure (ADLS, Data Factory, Synapse Pipelines, Azure Databricks), along with Apache Airflow for pipeline orchestration.

We enforce unified data rules, normalize formats, define clear metadata, and validate logic throughout the pipeline. Automated checks, alerts, and backup mechanisms ensure clean, consistent, and reliable data from input to output.

Yes. We use specialized tools and frameworks to handle unstructured data such as text, images, and logs. Our approach includes using Hadoop or cloud storage for large-scale file management, Spark/Flink for distributed processing, Elasticsearch for search, and AI techniques (NLP, Computer Vision) to extract structure and meaning. Metadata tagging and standardization further enhance discoverability and usability.

We handle sensitive data such as personal, financial, health, and internal business information by using AI and ML or cloud-based tools to automatically detect and classify it. Once identified, data is encrypted using secure one-way encryption methods with tightly controlled key management. We also enforce strict access control, log all activities, and apply anonymization and masking techniques to ensure compliance with legal and regulatory requirements.