Insights

Strong Market Position Thinking Machines Data Science operates within the rapidly growing AI and data consulting industry in Singapore, serving clients with high-impact data solutions. Its revenue range of 100 to 250 million USD indicates a well-established presence, presenting opportunities for expansion into new enterprise sectors seeking AI-driven insights.

Innovative Project Portfolio The company's work includes high-profile collaborations, such as partnering with the Metropolitan Manila Development Authority and Waze, to improve urban infrastructure and road safety. These projects demonstrate expertise in applying AI to civic and transportation challenges, making them a potential partner for government agencies and smart city initiatives.

Technical Expertise With a technology stack that includes Kubernetes, Google Cloud, TensorFlow, and NoSQL databases, Thinking Machines is positioned to deliver scalable, advanced AI solutions. This technical sophistication appeals to organizations looking for cutting-edge data science capabilities to solve complex, high-impact problems.

Expansion Opportunities The company's focus on problem-solving for civic and commercial clients creates openings to expand into sectors like transportation, urban planning, and disaster management. Their active projects in traffic management and hazard mapping suggest readiness to serve large-scale government and corporate clients.

Talent and Collaboration With a team comprising Stanford graduates, engineers, UX/UI designers, and management consultants, Thinking Machines offers a diverse skill set ideal for customized AI solutions. Sales efforts can highlight their multidisciplinary expertise as a differentiator for firms seeking tailored data science services.

Thinking Machines Data Science Tech Stack

Thinking Machines Data Science uses 8 technology products and services including Kubernetes, SAP, Argo Project, and more. Explore Thinking Machines Data Science's tech stack below.

Kubernetes

Containerization

SAP

Customer Relationship Management

Argo Project

Data Management Platforms

Firebase

Database

NoSQL

Database

Font Awesome

Font Scripts

Google Cloud

Infrastructure As A Service

TensorFlow

Machine Learning

Thinking Machines Data Science Email Formats	Example	Percentage
First@thinkingmachin.es	John@thinkingmachin.es	89%
FirstL@thinkingmachin.es	JohnD@thinkingmachin.es	11%

Thinking Machines Data Science Email Formats

Example

Percentage

First@thinkingmachin.es

John@thinkingmachin.es

89%

FirstL@thinkingmachin.es

JohnD@thinkingmachin.es

11%

Frequently Asked Questions

Where is Thinking Machines Data Science's headquarters located?

Thinking Machines Data Science's main headquarters is located at Singapore, Central Region 058357 Singapore. The company has employees across 5 continents, including AsiaNorth AmericaAfrica.

What is Thinking Machines Data Science's official website and social media links?

Thinking Machines Data Science's official website is thinkingmachin.es and has social profiles on LinkedIn.

What is Thinking Machines Data Science's NAICS code?

Thinking Machines Data Science's NAICS code is 5415 - Computer Systems Design and Related Services.

How many employees does Thinking Machines Data Science have currently?

As of April 2026, Thinking Machines Data Science has approximately 148 employees across 5 continents, including AsiaNorth AmericaAfrica. Key team members include Chief Of Staff To Ceo & Senior Genai Consultant: B. C.Chief Of Staff & Regional Business Operation - Thailand: C. T.Vp For Growth: N. V. V.. Explore Thinking Machines Data Science's employee directory with LeadIQ.

What industry does Thinking Machines Data Science belong to?

Thinking Machines Data Science operates in the IT Services and IT Consulting industry.

What technology does Thinking Machines Data Science use?

Thinking Machines Data Science's tech stack includes KubernetesSAPArgo ProjectFirebaseNoSQLFont AwesomeGoogle CloudTensorFlow.

What is Thinking Machines Data Science's email format?

Thinking Machines Data Science's email format typically follows the pattern of First@thinkingmachin.es. Find more Thinking Machines Data Science email formats with LeadIQ.

When was Thinking Machines Data Science founded?

Thinking Machines Data Science was founded in 2015.

Thinking Machines Data Science

Q: What technology does Thinking Machines Data Science use?

Thinking Machines Data Science's tech stack includes Linux, Figma, PyTorch, Microsoft Excel, SAP.

Q: What is Thinking Machines Data Science's NAICS code?

Thinking Machines Data Science's NAICS code is 5415 (Computer Systems Design and Related Services).

IT Services and IT ConsultingCentral Region, Singapore51-200 Employees

WE ARE HIRING! We’re looking for problem solvers with a passion for data.
Be part of a dynamic data technology consultancy: https://thinkingmachin.es/careers/

Thinking Machines is a technology consultancy operating at the intersection of AI, business, and data design. At Thinking Machines, we make our clients successful by building AI & data platforms to solve high impact problems -  
from identifying where to make the next billion dollar capex investment by applying AI on satellite images, to delivering poverty and hazard maps for civic organizations.

We’re a company made up of intellectually curious, civic-minded, forever-learning individuals, and we believe that great data science products are built with care for people. Our team has a mixed background ranging from Stanford Computer Scientists and Engineering Graduates, UX/UI Designers, Software Developers, and Management Consultants.

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