Insights

Strong Government Collaboration Thinking Machines has demonstrated successful partnerships with government agencies such as the Metropolitan Manila Development Authority and initiatives with Waze, highlighting their expertise in urban mobility, traffic management, and civic data solutions. This positions them well to offer governmental and civic organizations advanced AI-driven urban planning and transportation analytics.

Impactful Project Portfolio The company's track record in delivering high-impact solutions like poverty mapping and hazard detection indicates they excel in developing AI platforms that address societal challenges. Opportunities exist to expand into social, environmental, and public safety sectors requiring advanced geospatial and data science capabilities.

Growing Revenue with Global Reach With an estimated revenue between 25 million to 50 million USD and a diverse team with international academic backgrounds, Thinking Machines has the potential to upscale its offerings, attracting multinational clients seeking sophisticated AI and data solutions in Southeast Asia and beyond.

Technology-Driven Capabilities Utilizing a modern tech stack including Kubernetes, TensorFlow, Google Cloud, and NoSQL databases, the firm is well-positioned to deliver scalable, cutting-edge AI applications. Targeting organizations prioritizing advanced cloud-based AI infrastructure could lead to new sales opportunities.

Market Expansion Opportunities Given their expertise in transportation projects and civic data initiatives, there is substantial potential to expand into sectors like logistics, disaster management, and urban infrastructure modernization, tapping into the increasing demand for data-driven solutions in these areas.

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's Email Address Formats

Thinking Machines Data Science uses at least 1 format(s):
Thinking Machines Data Science Email FormatsExamplePercentage
First@thinkingmachin.esJohn@thinkingmachin.es
46%
FirstL@thinkingmachin.esJohnD@thinkingmachin.es
4%
First@thinkingmachin.esJohn@thinkingmachin.es
46%
FirstL@thinkingmachin.esJohnD@thinkingmachin.es
4%

Frequently Asked Questions

Where is Thinking Machines Data Science's headquarters located?

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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?

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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?

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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?

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As of February 2026, Thinking Machines Data Science has approximately 153 employees across 5 continents, including AsiaNorth AmericaAfrica. Key team members include Chief Of Staff & Regional Business Operation - Thailand: C. T.Chief Of Staff & Genai Senior Consultant: B. C.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?

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

What technology does Thinking Machines Data Science use?

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

What is Thinking Machines Data Science's email format?

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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?

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Thinking Machines Data Science was founded in 2015.

Thinking Machines Data Science

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.

Section iconCompany Overview

Headquarters
Singapore, Central Region 058357 Singapore
NAICS Code
5415 - Computer Systems Design and Related Services
Founded
2015
Employees
51-200

Section iconFunding & Financials

  • $25M$50M

    Thinking Machines Data Science's revenue is estimated to be in the range of $25M$50M

Section iconFunding & Financials

  • $25M$50M

    Thinking Machines Data Science's revenue is estimated to be in the range of $25M$50M

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