Insights

Public Sector Footprint Proven collaboration with government authorities and civic organizations, including MMDA and Waze partnerships, demonstrates ability to deliver data-driven urban planning, traffic optimization, and hazard mapping—placing the company as a strong partner for transport, city planning, and disaster resilience deals.

AI Platform Expertise Specializes in building AI and data platforms that convert satellite imagery and other data into actionable insights, offering end-to-end services from data design and engineering to deployment and governance for scalable enterprise AI.

Regional Growth Potential Singapore-based consultancy with demonstrated cross-border engagements in the Philippines positions the firm to pursue regional smart city, urban analytics, and humanitarian data initiatives across APAC.

Resilience Mapping Niche Strength in poverty and hazard mapping for civic organizations enables sales into disaster risk reduction, climate resilience, and social impact analytics across NGOs, governments, and civic tech partners.

Flexible Tech Stack Broad toolkit including AI assistants, data orchestration, and CRM integrations, plus active hiring, suggests the ability to tailor engagements, scale teams for client programs, and accelerate time-to-value.

Thinking Machines Data Science Tech Stack

Thinking Machines Data Science uses 8 technology products and services including InVision, Cloudflare, Pipedrive, and more. Explore Thinking Machines Data Science's tech stack below.

  • InVision
    Communication And Collaboration
  • Cloudflare
    Content Management System
  • Pipedrive
    Customer Relationship Management
  • Dagster
    Data Management
  • Apache Hive
    Data Warehousing
  • Mailchimp
    Email
  • Claude by Anthropic
    Generative Ai
  • Udacity
    Learning Management System

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
89%
FirstL@thinkingmachin.esJohnD@thinkingmachin.es
11%

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 June 2026, Thinking Machines Data Science has approximately 153 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?

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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 InVisionCloudflarePipedriveDagsterApache HiveMailchimpClaude by AnthropicUdacity.

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

Thinking Machines Data Science is a Singapore‑based technology consultancy that operates at the intersection of AI, business, and data design. The firm focuses on building AI and data platforms to solve high‑impact problems for clients, ranging from identifying strategic capital expenditure opportunities using satellite imagery to producing poverty and hazard maps for civic organizations. Its work is grounded in a collaborative, multidisciplinary approach drawing from computer science, engineering, design, software development, and management consulting backgrounds. The company situates itself within the IT services and IT consulting sector, emphasizing thoughtful data science products that consider people and societal impact.

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

  • $100M$250M

    Thinking Machines Data Science's revenue is estimated to be in the range of $100M$250M

Section iconFunding & Financials

  • $100M$250M

    Thinking Machines Data Science's revenue is estimated to be in the range of $100M$250M

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