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Data Wow Tech Stack

Data labeling, ML ops, and AI consulting for enterprise computer vision

IT Services and IT Consulting Bangkok, Bangkok 51–200 employees Founded 2016 Privately Held

Data Wow packages data labeling, ML pipeline infrastructure, and AI strategy consulting under a single P&L. The tech stack — Python, TensorFlow, PyTorch, LangChain, SageMaker, Kubernetes, PostgreSQL — reflects a services org anchored in ML ops and LLM-adjacent work rather than a pure SaaS play. Hiring is balanced across engineering, sales, and data roles with no adopting/replacing signals, suggesting stable execution rather than platform pivot; pain-point data reveals internal friction around sales velocity and data-privacy compliance (ISO 27001, privacy impact assessments), indicating the company is scaling go-to-market while hardening its own data governance.

Tech Stack 51 technologies

Core StackCypress AWS Python Next.js NestJS TensorFlow PyTorch LangChain RAG Docker Kubernetes SageMaker React Redux Go Figma Cassandra MongoDB PostgreSQL Microsoft Office macOS Windows Word Excel PowerPoint Outlook D3.js CSS SCSS CSS-in-JS+20 more

What Data Wow Is Building

◆Challenges

Scaling sales efforts
Accelerating sales cycle
Non-compliance loopholes in data privacy
Iso 27001 compliance
Transforming businesses with data insights
Lost opportunities due to delayed presentations

▲Active Projects

Ai project pipeline
Pitching presentations
Ai-powered product development
Ai implementation strategy
Privacy impact assessment
Data mapping and access management
Training and awareness activities

Hiring Activity

Steady15 roles · 7 in 30d

Department

Engineering

5

Sales

5

Data

2

Finance

2

Design

1

Executive

1

Legal

1

Seniority

Mid

10

Junior

4

Senior

2

Lead

1

Notable leadership hires: Technical Lead

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About Data Wow

Data Wow is a Thailand-based AI and data services firm founded in 2016, operating at 51–200 employees with engineering, sales, and data teams. The company delivers end-to-end solutions spanning data labeling, ML model training and deployment, data pipeline architecture, and AI consulting — primarily serving enterprise clients who need to operationalize computer vision and NLP at scale. Core capabilities include custom data annotation tools, defect detection systems, content moderation pipelines, and ML architecture guidance. The org is actively hiring mid-level engineers and sales roles, with recent project focus on AI implementation strategy, data privacy frameworks, and AI-powered product development.

HeadquartersBangkok, Bangkok

Company Size51–200 employees

Founded2016

Hiring MarketsThailand

Frequently Asked Questions

What tech stack does Data Wow use?

Python, TensorFlow, PyTorch, LangChain, AWS, SageMaker, Kubernetes, Docker, PostgreSQL, MongoDB, Cassandra, Next.js, NestJS, React, and Go. The stack emphasizes ML training, inference, and scalable backend infrastructure.

What does Data Wow specialize in?

Data labeling, machine learning operations, computer vision, NLP, content moderation, defect detection, and AI consulting. The company also builds data pipelines, analytics platforms, and AI training programs for enterprise clients.