Insights

OpenAI Partner Thinking Machines Data Science is an OpenAI Advanced Partner and exclusive reseller of ChatGPT Enterprise in the Philippines, signaling strong alignment with cutting-edge AI capabilities and potential co-sell and implementation opportunities for enterprise clients seeking scalable AI solutions.

SEA Expansion Recent office expansions to Bangkok and Singapore, along with Temus acquisition to scale AI in Southeast Asia, indicate a growth focus in enterprise AI/data initiatives across the region, presenting cross-sell opportunities to multinational clients expanding in SEA.

Development Partnerships Active collaboration with UNICEF on the Artificial Intelligence for Development initiative positions the firm as a socially impactful AI partner, offering a pathway to win government and NGO-led data and AI modernization projects.

Financial Scale Revenue range of $100M-$250M and a mid-sized employee base suggest a proven delivery capability with room to upsell larger AI platforms, managed services, and data architecture engagements to mid-market and growing enterprises.

Tech Stack & Delivery A mixed tech stack including Azure, Redshift, Airflow, Tableau, and Power Automate indicates readiness for end-to-end data pipelines, analytics, and automation projects, enabling streamlined cross-sell into clients seeking integrated AI data platforms.

Similar companies to Thinking Machines Data Science

Thinking Machines Data Science Tech Stack

Thinking Machines Data Science uses 8 technology products and services including Microsoft Power Automate, Tableau, GitHub, and more. Explore Thinking Machines Data Science's tech stack below.

Media & News

Thinking Machines Data Science's Email Address Formats

Thinking Machines Data Science uses at least 2 email formats:
Thinking Machines Data Science Email FormatsExamplePercentage
First@thinkingmachin.esJohn@thinkingmachin.es
90%
FirstL@thinkingmachin.esJohnD@thinkingmachin.es
10%

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.

How much revenue does Thinking Machines Data Science generate?

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As of August 2026, Thinking Machines Data Science's annual revenue is estimated to be $100M - $250M.

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 August 2026, Thinking Machines Data Science has approximately 165 employees across 5 continents, including Asia, North America and Africa. Key team members include Chief Of Staff To Ceo & Senior Genai Consultant: B. C., Chief Of Staff & Regional Business Operation - Thailand: C. T. and 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 Microsoft Power Automate, Tableau, GitHub, InVision, Apache Airflow, SAP, Amazon Redshift and Azure DevOps.

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

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