Insights

Strong Public Sector Engagement Thinking Machines has demonstrated a focus on civic projects, partnering with organizations like the Metropolitan Manila Development Authority and collaborating on traffic management and safety initiatives. This indicates potential opportunity to offer data science and AI solutions tailored for government and municipal agencies seeking smart city and public safety enhancements.

AI and Data Platform Expertise With capabilities in AI, satellite image analysis, and data platform development, Thinking Machines is well-positioned to serve clients requiring advanced data-driven decision-making tools. Sales teams can target clients in industries such as urban planning, transportation, and environmental monitoring who need cutting-edge AI solutions.

Collaborative Technology Stack The company’s utilization of popular cloud and AI tools like Google Cloud, TensorFlow, Kubernetes, and NoSQL databases highlights its technical prowess. This offers upselling opportunities to clients interested in scalable, cloud-based, and AI-enhanced data solutions across different sectors.

Revenue Range and Growth Potential With an estimated revenue of 25 to 50 million dollars, Thinking Machines operates in a lucrative mid-market segment, suggesting potential for expansion into new geographies and industries. Strategic sales efforts could target larger enterprises or government agencies seeking similar impactful data science projects.

Niche Market Focus The company's specialized work in civic and safety-related projects, coupled with a strong focus on data for social good, positions it uniquely in the AI services space. Presenting tailored solutions for clients in public safety, urban development, and civic technology can unlock targeted growth opportunities.

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

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 December 2025, Thinking Machines Data Science has approximately 161 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

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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