DataGlass Labs

DataGlass

Labs

From data to decisions.

Measure. Model. Move.

DataGlass Labs helps Thai SMEs turn messy, multi-channel data into repeatable, profitable decisions. We blend software engineering, advanced analytics, and operations research to solve practical problems.

Accepting new clients
Bangkok, Thailand

Case Studies

Real projects, real results. From modern React frontends to ERP-style backends and omnichannel platforms.

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COMMON PATTERNS
Type-safe backends with clear domain boundaries
Analytics-ready data models from day one
Extensible architecture for future features
WHAT YOU GET
Production-ready code, not prototypes
Documentation and knowledge transfer
Systems designed for team maintainability

Enterprise-Grade Technology Stack

We deliver production-ready solutions using battle-tested technologies trusted by global enterprises. Our stack prioritizes maintainability, scalability, and long-term supportability alongside rapid delivery.

JavaJava
ScalaScala
KotlinKotlin
Spring BootSpring Boot
AkkaAkka
MSSQLMSSQL
PostgreSQLPostgreSQL
DebeziumDebezium
GraphQLGraphQL
KafkaKafka
AirflowAirflow
Apache SparkApache Spark
S3S3
DatabricksDatabricks
Next.jsNext.js
TypeScriptTypeScript
PythonPython
TensorFlowTensorFlow
JavaJava
ScalaScala
KotlinKotlin
Spring BootSpring Boot
AkkaAkka
MSSQLMSSQL
PostgreSQLPostgreSQL
DebeziumDebezium
GraphQLGraphQL
KafkaKafka
AirflowAirflow
Apache SparkApache Spark
S3S3
DatabricksDatabricks
Next.jsNext.js
TypeScriptTypeScript
PythonPython
TensorFlowTensorFlow
JavaJava
ScalaScala
KotlinKotlin
Spring BootSpring Boot
AkkaAkka
MSSQLMSSQL
PostgreSQLPostgreSQL
DebeziumDebezium
GraphQLGraphQL
KafkaKafka
AirflowAirflow
Apache SparkApache Spark
S3S3
DatabricksDatabricks
Next.jsNext.js
TypeScriptTypeScript
PythonPython
TensorFlowTensorFlow
JavaJava
ScalaScala
KotlinKotlin
Spring BootSpring Boot
AkkaAkka
MSSQLMSSQL
PostgreSQLPostgreSQL
DebeziumDebezium
GraphQLGraphQL
KafkaKafka
AirflowAirflow
Apache SparkApache Spark
S3S3
DatabricksDatabricks
Next.jsNext.js
TypeScriptTypeScript
PythonPython
TensorFlowTensorFlow
FRONTEND & UI
Next.js
React framework with server-side rendering, static generation, and optimized production builds.
TypeScript
Type-safe JavaScript superset that catches errors early and improves code maintainability.
Tailwind CSS
Utility-first CSS framework for rapid UI development with consistent design systems.
React
Component-based library for building interactive UIs with declarative syntax and virtual DOM.
WHY FRONTEND?

We build fast, SEO-friendly web applications using React and Next.js for server-side rendering and static generation. TypeScript ensures type safety across the frontend, while Tailwind CSS enables rapid, consistent UI development.

  • Performance: Next.js optimizes bundles, images, and routing for production.
  • Developer experience: TypeScript catches errors at compile time, reducing runtime bugs.
  • Scalability: Component-based architecture scales from prototypes to large applications.
BACKEND & SERVICES
Kotlin + Spring Boot
Type-safe JVM services with dependency injection, clear layering, and comprehensive testing support.
Scala
Functional programming on JVM for concurrent systems with strong type safety and expressive syntax.
PostgreSQL
ACID-compliant relational database with advanced features for complex queries and data integrity.
Redis
In-memory data store for caching, session management, and real-time analytics with millisecond latency.
WHY BACKEND?

JVM languages like Kotlin and Scala provide type safety, performance, and excellent tooling. Spring Boot accelerates development with convention-over-configuration, while PostgreSQL offers enterprise-grade reliability and Redis enables high-performance caching.

  • Type safety: Kotlin and Scala catch errors at compile time, reducing production bugs.
  • Ecosystem maturity: Spring Boot has extensive libraries and community support.
  • Performance: JVM optimization and Redis caching deliver sub-millisecond response times.
DATA PIPELINE & PROCESSING
Apache Spark
Unified analytics engine for large-scale data processing with SQL, streaming, and ML capabilities.
Kafka
Distributed event streaming platform for high-throughput, fault-tolerant real-time data pipelines.
Airflow
Workflow orchestration platform for authoring, scheduling, and monitoring data pipelines as code.
dbt
SQL-based transformation tool that brings software engineering practices to analytics workflows.
WHY DATA PIPELINE?

We build reliable, scalable data pipelines using Apache Spark for batch and streaming processing, Kafka for event streaming, and Airflow for workflow orchestration. dbt brings version control and testing to analytics transformations.

  • Scalability: Spark handles petabytes of data across distributed clusters.
  • Reliability: Kafka provides fault-tolerant event streaming with exactly-once semantics.
  • Maintainability: Airflow and dbt enable pipeline-as-code with testing and versioning.
MACHINE LEARNING & AI
Python
Core ML development language with extensive ecosystem for data science, model training, and deployment.
TensorFlow
Production-grade deep learning framework for building and deploying neural networks at scale.
scikit-learn
Classical machine learning algorithms for regression, classification, and clustering with clean APIs.
PyTorch
Research-friendly framework for neural networks with dynamic computation graphs and strong GPU support.
WHY ML & AI?

Python's rich ML ecosystem enables rapid experimentation and production deployment. TensorFlow powers production deep learning systems, while scikit-learn handles classical ML tasks. PyTorch accelerates research with flexible, dynamic computation graphs.

  • Ecosystem: Python has the largest ML library ecosystem (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
  • Production ready: TensorFlow Serving and PyTorch TorchServe enable scalable model deployment.
  • Research to production: PyTorch for experimentation, TensorFlow for production deployment.
DELIVERY PRINCIPLES
Automated testing & CI/CD
Documentation as code
Observability from day one
Incremental, composable architecture

About DataGlass Labs

MISSION

Equip Thai SMEs with industrial-grade analytics and optimization so every major decision—price, promo, stock, spend, staffing—has a quantified, defensible answer.

VISION

A Thailand where data-driven SMEs compete like enterprises: real-time visibility, automated decisions, resilient supply chains, and profitable growth powered by transparent math.

WHO WE SERVE

E-commerce sellers (Shopee, Lazada, TikTok Shop), D2C brands, wholesalers, and light manufacturing/fulfillment teams that need measurable improvements in sales, cost, and reliability.

WHAT MAKES US DIFFERENT
Metric-centric: A consistent, governed metric layer across channels
Decision-first: Models tied to business constraints (margin, SLAs, cash)
Delivered software: Consoles, APIs, automations—not just reports
Transparent math: We document assumptions, tests, and guardrails
VALUES
Clarity over complexity: Plain language, testable claims, visible results
Speed to value: MVP fast, iterate weekly, automate when proven
Open playbooks: We document, train, and transfer capability
Ethics & trust: Your data, your IP. We design for privacy and governance
© 2025 DataGlass Labs. All rights reserved.
Empowering Thai SMEs with data-driven solutions