Thinking Machines Data Science’s cover photo
Thinking Machines Data Science

Thinking Machines Data Science

IT Services and IT Consulting

Singapore, Singapore 16,054 followers

We are a tech consultancy building AI & data platforms to solve high impact problems. We are hiring! Visit our website.

About us

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.

Website
http://thinkingmachin.es/
Industry
IT Services and IT Consulting
Company size
51-200 employees
Headquarters
Singapore, Singapore
Type
Privately Held
Founded
2015
Specialties
Data Science, Data Storytelling, Data Strategy, Data Engineering, Data Visualization, Machine Learning, artificial intelligence, Data Management, geospatial, document AI, data platform, analytics, and ETL

Locations

Employees at Thinking Machines Data Science

Updates

  • What does it actually cost to use AI as a second brain? Stephanie Sy ran the numbers. In one month, she used Codex across 188 sessions and 295M+ tokens to turn meetings, notes, scripts, reports, and trackers into reusable work artifacts. Her key insight: AI’s real value is not just faster answers. It is durable operating memory. For teams, that means moving beyond experimentation and measuring what matters: tokens, tool calls, artifacts created, human review needed, and what actually gets reused. This is the kind of grounded AI work we care about at Thinking Machines: helping organizations turn AI from isolated experiments into systems that compound knowledge and drive real business impact. Read Stef’s breakdown: https://lnkd.in/gjcg9_xs #AI #GenAI #SecondBrain #EnterpriseAI #ThinkingMachines

    My team's about to do a coding-agent budgeting exercise, so I audited myself first across every Codex session I ran in May. Here's the tokenomics of my second brain. One month, 188 sessions, 295 million tokens, $315 if billed via API. Then I remembered I'm paying $100 for a ChatGPT Pro plan. Phew! 😅 What surprised me: → One daily workflow (auto-processing my meeting transcripts) ate 25% of the spend. Worth every cent — but I should look at using a cheaper or local model. → You can see that I'm more of a knowledge worker than a coder. My most productive sessions are workbenches: reading my notes, running scripts, building the deck/site/spreadsheet, filing the artifact back for next time. → 3,053 durable pieces of output built in a month. A bit of an overcount given how many files Codex generates as part of a single coding or deck-making task, but I'm reasonably 2x more productive than a year ago. → 4 day gap when my colleague and I did a series of face to face workshops exactly when my face to face meeting capture pipeline had a bug See my writeup for the full tokenomics of running an AI second brain 👇

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  • Startups are built on speed, focus, and doing more with less. AI is becoming a powerful way for lean teams to expand their capabilities without significant incremental cost, helping them build, analyze, communicate, and execute faster. Through the Thinking Machines ChatGPT Business Referral Program, startups can bring ChatGPT into a secure team workspace and start turning AI into part of how work actually gets done. Sign up with Thinking Machines and get a free seat to help your team get started. Interested in exploring what ChatGPT Business could unlock for your startup? Let’s connect. #Startups #ChatGPTBusiness #ArtificialIntelligence #AIAdoption #ThinkingMachines

    View organization page for OpenAI for Startups

    121,332 followers

    “I can’t imagine building a company without OpenAI.” Meet Sherwood Callaway, founder of Sazabi, an AI-native observability platform for fast-moving engineering teams. Sazabi helps teams ask questions like “why is production down?” and get root-cause answers across telemetry and source code, with OpenAI models and Codex helping the team move faster across engineering and launch work. Watch video below to see how Sazabi is rethinking observability with OpenAI.

  • What happens when AI is built into the way work already happens? For NST Apparel, purchase order coordination across suppliers, merchandisers, and manufacturing partners had become a growing source of delays, manual follow-ups, and inventory risk. Together with Thinking Machines, NST embedded “Mr. Bot” directly into its existing email workflows, helping teams automate supplier follow-ups, track purchase order status, surface discrepancies, and reduce manual coordination. The result: faster execution, stronger operational control, and the ability to scale purchasing workflows without adding headcount. AI does not always need to replace existing systems. Sometimes, the biggest impact comes from redesigning the everyday workflows that keep a business moving. Read the case study: https://lnkd.in/gtcrc23a #ArtificialIntelligence #Automation #Manufacturing #DataScience #ThinkingMachines

  • AI is moving from chatbots to workflow intelligence. At our recent AI-Native Executive dinner session, we spoke with senior executives about what this shift means for leadership teams. The question is no longer just, “Which AI tool should we use?” It is, “Which workflows should we redesign first, what should humans still review, and how will we know it worked?” The companies that capture value from AI will be the ones that choose the right starting point, build trust before scaling, and redesign work around measurable outcomes. For companies thinking through these same questions, we’d be glad to continue the conversation. #ThinkingMachines #AINativeExecutive #AITransformation #SecondBrain #AgenticAI #WorkflowIntelligence #EnterpriseAI #ExecutiveLeadership

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  • Partnerships are built on trust, collaboration, and a shared commitment to meaningful results. We’re grateful to Jollibee Group for recognizing Thinking Machines with the 2026 Partner of Joy Award. More than the award itself, this reflects the kind of partnership we strive to build: working closely with teams, understanding their context, and helping turn AI and data transformation into practical business impact. Congratulations to our team, and thank you to the Jollibee Group team for the trust and partnership. Curious about how we work with organizations on AI and data transformation? We’d be happy to connect. #ThinkingMachines #AITransformation #DataScience #Partnership #JollibeeGroup

    Thinking Machines Data Science received a 2026 Partner of Joy award from Jollibee Group. Honestly, the award matters less than what it signals. Getting to be part of their AI and data transformation journey is not something we take for granted. Working with the Jollibee team has genuinely been a partnership. The kind where both sides show up and strive to deliver meaningful results. Proud of Kayle Amurao, Jiah Margallo and the rest TM team on this one. And grateful to Dan Noel Natindim, John Bibal II and the rest of Jollibee Group for the trust.

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  • What if the best version of your decision-making was available when you needed it? That was one of the ideas we explored with senior executives at our AI-Native Executive session. An AI Second Brain helps make a leader’s judgment, context, priorities, and decision patterns available to AI, so the output becomes less generic and more useful. For executives, this can support decision prep, proposal review, stakeholder communication, team coaching, relationship tracking, and other judgment-heavy workflows. Before AI transformation becomes organizational, it often has to become personal. Leaders go first. For companies thinking through these same questions, we’d be glad to continue the conversation. #ThinkingMachines #AINativeExecutive #AITransformation #SecondBrain #AgenticAI #WorkflowIntelligence #EnterpriseAI #ExecutiveLeadership

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  • How can senior executives use AI not just to move faster, but to think, decide, and lead better? At our recent AI-Native Executive dinner session, Thinking Machines brought together senior leaders for a practical conversation on where AI is headed, from chatbots and one-off prompts to agents, workflow intelligence, and enterprise adoption. We also introduced the idea of an Executive Second Brain: an AI system that helps make a leader’s decision-making patterns, context, priorities, and playbooks available when they need them. Through live demos and discussion, we explored how AI can support decision prep, proposal review, stakeholder communication, team coaching, and other judgment-heavy workflows. For companies thinking through these same questions, we’d be glad to continue the conversation. #ThinkingMachines #AINativeExecutive #AITransformation #SecondBrain #AgenticAI #WorkflowIntelligence #EnterpriseAI #ExecutiveLeadership

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  • Many companies think adopting AI starts when they buy licenses. In reality, that's just the beginning of the work. We've seen teams purchase ChatGPT, only to discover that people still need help figuring out: • What workflows to use it for • How to write better prompts • How to create reusable assistants • How to move from experimentation to daily use That's why we're offering ChatGPT Business together with practical resources, onboarding support, and ready-to-use AI workflows. The goal is simple: help teams get to value faster. If you're already considering ChatGPT Business, swipe through to see what additional support is available when you purchase through Thinking Machines. 🔗 Visit to learn more: https://lnkd.in/gSmcjZaf #ChatGPTBusiness #OpenAI #AIAdoption #GenerativeAI #FutureOfWork

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  • Creating business presentations is becoming faster, clearer, and more connected. With ChatGPT now integrated with Microsoft PowerPoint, teams can turn ideas, reports, and Excel insights into polished presentations in far less time. Together, the Excel and PowerPoint integrations help organizations move seamlessly from data analysis to communication, making it easier to generate insights, tell clearer stories, and support better decision-making. Interested in what AI-enabled workflows could look like for your team? Let’s connect. ✉️ #ChatGPT #PowerPoint #ArtificialIntelligence #Productivity #ThinkingMachines

    View organization page for OpenAI for Business

    668,699 followers

    ChatGPT for PowerPoint just launched yesterday. Bring your source material into PowerPoint, ask ChatGPT to draft the deck, then refine slide content, structure, and formatting in the same place. Go from blank slides to polished presentations, much faster. Boom. 💥 ✅ Get started today: https://lnkd.in/eMJ9EGwU

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