Insights

AI for Development Opportunity to expand into UNICEF AI4D initiatives and government-civil society partnerships, highlighting a track record of applying AI to development challenges and potential funding or multi-stakeholder programs.

Public Sector Ties Past collaborations with MMDA and UNICEF demonstrate credibility with city and regional governments, suggesting a sales path targeting civic tech, transport optimization, and disaster/hazard mapping projects.

Data Platform Uplift Strong capability in building AI and data platforms positions the firm to offer end-to-end data architecture, governance, and analytics modernization to mid-market enterprises seeking scalable data solutions.

Sustainability & Impact Civic-minded, people-centered data products imply alignment with sustainability, resilience, and social impact initiatives, creating opportunities with NGOs, public agencies, and mission-driven brands.

Scale Potential Revenue range indicates growing mid-market scale with capacity to pursue larger analytics partnerships, including cloud data warehousing, advanced analytics, and cross-industry automated decisioning.

Thinking Machines Data Science Tech Stack

Thinking Machines Data Science uses 8 technology products and services including GDPR, Unpkg, Integromat, and more. Explore Thinking Machines Data Science's tech stack below.

  • GDPR
    Certificates
  • Unpkg
    Content Delivery Network
  • Integromat
    Continuous Integration
  • SAP
    Customer Relationship Management
  • Snowflake
    Data Management Platforms
  • Mailchimp
    Email
  • Matplotlib
    Frameworks And Libraries
  • jQuery
    Javascript Libraries

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

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 July 2026, Thinking Machines Data Science has approximately 154 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 GDPRUnpkgIntegromatSAPSnowflakeMailchimpMatplotlibjQuery.

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 logo

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

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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