Unique Values and Competencies

Empowering trust by advancing service quality

Experts with in-depth expertise

An amazing team of local and international experts with extensive experience in implementing complex projects and products

Research-intensive Solutions

Developed services and products from academic research combined with open sources with a holistic transformative view

Context-aware and customized, high-quality solutions

Towards building and mastering technologies for Machine Learning, Big Data, and AI-based automated business and IT processes

Services

Prestudying, Consulting, and Developing Solutions

For applications in Predictive Maintenance, Digital Twins, Manufacturing/Industry 5.0, Telcos, Quality Controls, Energy Management

Provide pre-study/assessment services for ICT systems, software and data analytics in IoT/IIoT, edge and cloud continuum to assist customers in decision-making for complex projects before launching the major activities

Deliver feasibility analysis and assessment, high-level architecture development, evaluations of solution candidates, and initial benchmarking/testing.

Provide solutions for data governance; data quality; reliable, efficient, and explainable ML models; and IT policies.

Offer transformative designs IoT Edge Cloud applications and services based on our highly-cited principles of IoT Cloud engineering, achieving extensibility, reliability and efficiency for resource-constrained infrastructures.

Recommend and provide GenAI/LLM models and solutions based on the responsibility, explainability and risk management for application-/domain-specific requirements.

Design and integrate GenAI/LLMs features for modernizing cloud/on-premise/edge applications and services.

Develop and provide techniques for holistic, context-aware and composable monitoring and automation.

Research and develop big data analytics/ML platforms and infrastructures, integrated predictive mainteance, methods for ML explainability and machine learning serving.

Develop automated processes integrating data analytics, AI/ML and business services for enterprises, and solutions for IoT systems interoperability.

Offer consultancy and assessment together with training for AI/ML and big data analytics teams for developing big data platforms

Offer diverse advanced trainings on analytics for operations, architectures for big data platforms, machine learning systems, and digital transformation.

Daienso Stacks: tools and frameworks

LATTE

ML-powered utilities coupled with edge data mesh solutions for versatile data journeys: data analytics, data quality assurance, data products, and data lakes.

See further: LATTE-Q, TENSAI, HAIVAN

DAIENSO Anomaly Detection

Machine learning models, pipelines, and services for anomaly detection and forecasting for IoT/IIoT time-series data, alarms and logs.

See further: DAD

FANSIPAN

Interoperable, extensible and high performance real-time framework for AI/ML based detection, search and monitoring with IoT/IIoT measurements/video/images.

See further: Fansipan Factsheet, Analytics Feature Space, Project video

YALY

A framework for deploying and programming LLM/AI assistant services and workflows,including on-premise LLM provisioning and management, LLM task workflows and LLM quality assurance for automated workflows.

See further: CuLao, COLLMS

Research

Research areas and directions

About DAIENSO Lab

Mission

Daienso Lab was established with the goal of developing real-time machine learning solutions and intelligent platforms adapted to the needs of developing industrial markets: (1) applying and incorporating data-driven analytics and AI/ML/LLMs techniques into existing complex systems; (2) researching and developing machine learning solutions for specific, unique operating conditions; and (3) solving the problems of limited experts, resources, and infrastructures for implementing AI/ML/LLMs, IoT-Edge-Cloud Continuum, and Automated Workflows.

We research, consult and develop solutions for modernizing & transforming business

with IoT-Edge-Cloud Continuum, AI/ML/LLMs, Big Data Analytics, and Automated Workflows