Thinking Machines
Thinking Machines Data Science is a Philippines-headquartered AI and data consultancy founded in 2015 by Stephanie Sy, serving enterprise clients across Southeast Asia with GenAI implementation, data platform modernization, and OpenAI ChatGPT Business resale from offices in Manila, Bangkok, and Singapore.
- Company typePrivate
- Founded2015
- HeadquartersTaguig, Philippines
- Headcount101–250
- GTM typeB2B
- OfferingServices
What Thinking Machines does
Thinking Machines Data Science is a Philippines-headquartered AI and data science consultancy founded in 2015 by Stephanie Sy, a Stanford alumna and former Google professional. The firm serves enterprise clients across Southeast Asia from offices in Manila, Bangkok, and Singapore, with a headcount of 101-250 staff that includes 200+ AWS, Azure, and GCP-certified data and AI consultants. Its core capabilities span Generative AI Services, Data Governance, Data Analytics, Data Engineering, and end-to-end Artificial Intelligence implementation, supported by productized solution modules for Customer Intelligence, Location Intelligence, Document Intelligence, and Data Platforms.
The underlying technology stack is cloud-agnostic, supporting AWS, Azure, GCP, Snowflake, BigQuery, and Databricks, with analytics engineering built on dbt, Airflow, and Fivetran in a medallion (bronze/silver/gold) architecture. Proprietary components include a GenAI Model Evaluation Framework structured around a four-level query complexity taxonomy (L1-L4), pre-trained Customer Intelligence models (93% recall in customer matching from transactions), satellite-based Location Intelligence models (152M+ demand predictions processed), and an AI Coach GPT scoring system for training participants. The firm claims a 95% pilot-to-production success rate and a typical two-week time-to-ROI.
Thinking Machines generates revenue primarily through professional services engagements (Capability Building from $3,000, Use Case Playbook from $3,000, AI Labs from $8,800, AI Agent Deployment from $20,000+) and through resale of ChatGPT Business subscriptions as OpenAI's first boutique consulting partner in Asia-Pacific. Named enterprise clients span banking (EastWest Bank, BPI, ATRAM, Insular Life), conglomerates (JG Summit, Banpu), telecommunications (Globe Telecom), logistics and airlines (LBC, Philippine Airlines), and the social sector (World Health Organization, Conservation International). The go-to-market is sales-led enterprise consulting, supported by channel partnerships with the major cloud and data platforms and thought-leadership content such as the GenAI Evaluation Framework whitepaper.
Thinking Machines firmographics
Firmographics- Name
- Thinking Machines
- Legal name
- Thinking Machines Data Science
- Website
- https://thinkingmachin.es/
- Company type
- Private
- Founded year
- 2015
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Thinking Machines Data Science is a Philippines-headquartered AI and data consultancy founded in 2015 by Stephanie Sy, serving enterprise clients across Southeast Asia with GenAI implementation, data platform modernization, and OpenAI ChatGPT Business resale from offices in Manila, Bangkok, and Singapore.
- Ownership category
- akta.pro rank
Thinking Machines industry classification
Industry- Product category
- AI & Data Consulting Services
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computer Training (611420)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
- akta.pro secondary industries
- AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ), Data, Analytics & AI Training (BI, Data Engineering, ML/GenAI) (BPAEANAH), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)
Keywords
Where Thinking Machines is headquartered
LocationHeadquarters
- HQ city
- Taguig
- HQ country
- Philippines
- HQ region
- Asia
Offices3 records
Markets served
Thinking Machines business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales
Revenue model
- Professional Services: Consulting services including training workshops, use case playbooks, AI labs, and AI agent deployment. Engagement models include Capability Building (from $3,000), Use Case Playbook (from $3,000), AI Labs (from $8,800), and AI Agent Deployment (from $20,000).
- ChatGPT Business Resale: Reselling ChatGPT Business licenses as OpenAI's first Asia-Pacific services partner. ChatGPT Business pricing at $25/seat/month or $20/seat/month billed annually. Additional value through onboarding workshops, prompt libraries, and AI-native workflow design.
- Data Platform and Analytics Services: Data engineering, analytics engineering, and AI implementation services building modern cloud-native data platforms using tools like dbt, Airflow, Fivetran on AWS, Azure, GCP, Snowflake, and BigQuery.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Per seat | Monthly | ChatGPT Business - Standard |
| Subscription | Multi-year contract | Capability Building - Training Engagement |
| Subscription | Multi-year contract | Use Case Playbook - Custom AI Assistants |
| Subscription | Multi-year contract | AI Labs - Co-build Engagement |
| Subscription | Multi-year contract | AI Agent Deployment - Enterprise Multi-agent Systems |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels9 records
Thinking Machines product offering
Product offeringCore offering
Thinking Machines Data Science is an AI and data consultancy that delivers cloud-agnostic data platform modernization, analytics engineering, and enterprise generative AI services. It combines proprietary AI models (Customer Intelligence, Location Intelligence, Document Intelligence) and a GenAI Model Evaluation Framework with hands-on training, use-case playbooks, AI labs, and AI agent deployment engagements, and resells ChatGPT Business as OpenAI's first boutique services partner in Asia-Pacific.
Product overview
Thinking Machines operates two distinct entities: (1) Thinking Machines Data Science (thinkingmachin.es) is a Southeast Asia-based AI and data consultancy offering a platform of consulting services including Generative AI, Data Governance, Data Analytics, Data Engineering, and AI capabilities, supported by solution modules for Customer Intelligence, Location Intelligence, Document Intelligence, and Data Platforms. It resells ChatGPT Business as OpenAI's first Asia-Pacific services partner. (2) Thinking Machines AI (unrelated) is an AI startup founded by Mira Murati developing Interaction Models and the Tinker API for model fine-tuning.
Differentiator
Problem solved
Functional benefit
Products and services
- Generative AI Services Enterprise GenAI consulting and implementation services including training programs, custom GPT development, and deployment of RAG and agentic AI applications for large organizations. Designed for enterprises seeking to operationalize generative AI.
- Data Governance Data strategy and governance framework design that establishes secure, compliant foundations for business and AI innovation, including AI-ready data architecture and organizational change management. Built for enterprises formalizing data management for AI workloads.
- Data Analytics Analytics engineering and implementation using modern data platforms (dbt, Airflow, Fivetran) and medallion architecture across AWS, Azure, GCP, Snowflake, and BigQuery to transform raw data into strategic insights. Built for organizations modernizing analytics on cloud platforms.
- Data Engineering Data platform modernization and seamless integration building cloud-native architectures that are multi-cloud flexible (AWS, Azure, GCP) and GenAI/ML ready. Targeted at enterprises undertaking large-scale data platform transformations.
- Artificial Intelligence End-to-end AI solutions including tailor-made models, MLOps, and AI governance, with a reported 95% pilot-to-production success rate and no projects abandoned after the discovery phase. Built for enterprises deploying custom AI in production.
- Customer Intelligence AI-powered customer data unification solution that builds real-time customer profiles and segments from behavioral and transactional data, achieving 93% recall in unique customer identification and predicting socio-economic class from location. Used by banks, telecoms, and logistics firms for single customer view initiatives.
- Location Intelligence Geospatial AI solution using satellite imagery and spatial analysis for location-based decision making, including building footprint detection, building height and classification, road detection, wealth estimation, and 152M+ demand predictions. Used by government, NGOs, and enterprises for site selection, infrastructure planning, and risk modeling.
- Document Intelligence Custom AI knowledge solution for integrating, searching, and extracting insights from documents, using ML for document digitization, semantic search, and contextual AI for question-answering across millions of documents. Used by legal, government, and enterprise clients with document-heavy workflows.
- Data Platforms Cloud data and analytics platform deployment on public cloud infrastructure that enables data-driven decision making at scale with lightning-fast insights and batch/streaming processing. Built for organizations seeking enterprise-grade cloud data foundations.
- ChatGPT Business Resale Resale of ChatGPT Business licenses bundled with Activation Workshop, prompt library, AI-native workflow design, and AI governance consulting. Sold as OpenAI's first Services Partner in Asia-Pacific, targeting enterprise teams in the Philippines, Thailand, and Singapore.
Quantifiable outcome
- 3x faster and better responses for Bank of the Philippine Islands
- +10 more outcomes
Companies that use Thinking Machines
Customer profileNamed customers12 records
Segments7 records
Ideal customer profiles5 records
Thinking Machines technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability10 records
Feature5 records
Thinking Machines partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered flagship and core.
- OpenAIflagshipOpenAI's first boutique consulting partner in Asia-Pacific. Thinking Machines helps enterprises overcome challenges in generative AI adoption through enablement programs including workshops and training. Collaboration initially rolling out in Singapore, Philippines, and Thailand with target to onboard at least 20 organizations in first year.
- AWS (Amazon Web Services)coreAWS Partner Network member. 200+ AWS-certified data and AI consultants. Cloud-agnostic approach includes AWS as primary platform for data platform modernization and analytics engineering.
- Microsoft AzurecoreMicrosoft Partner Center member. Azure-based data and AI solutions delivery with certified consultants for enterprise cloud transformations.
- Google CloudcoreGoogle Cloud Partner. Data analytics and AI implementations on GCP with certified consultants. APAC Technology Practice Lead collaboration for Data Analytics & AI.
- SnowflakecoreSnowflake partner for data platform implementations. Collaboration announced to accelerate data transformation across Southeast Asia. Single source of truth platforms using Snowflake.
- DatabrickscoreDatabricks Partner Directory member. Analytics engineering and lakehouse architecture implementations using Databricks platform.
Scale indicators15 records
Recent moves6 records
Expansion highlights5 records
Thinking Machines competitors and assessment
Company assessmentMarket position
Weaknesses3 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Thinking Machines social profiles
Digital presenceThinking Machines compliance and trust
Trust signalCompliance1 record
Thinking Machines financial estimates
Financial estimateRevenue estimate
Valuation estimate
Thinking Machines leadership team
Management profileNumber of profiles
Profiles1 record
Thinking Machines funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Thinking Machines M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Thinking Machines
What does Thinking Machines do?
Thinking Machines Data Science is an AI and data consultancy that delivers cloud-agnostic data platform modernization, analytics engineering, and enterprise generative AI services. It combines proprietary AI models (Customer Intelligence, Location Intelligence, Document Intelligence) and a GenAI Model Evaluation Framework with hands-on training, use-case playbooks, AI labs, and AI agent deployment engagements, and resells ChatGPT Business as OpenAI's first boutique services partner in Asia-Pacific.
Is Thinking Machines a public or private company?
Thinking Machines is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Thinking Machines founded?
Thinking Machines was founded in 2015. It employs 101 to 250 people.
Where is Thinking Machines based?
Thinking Machines is headquartered in Taguig, Philippines, in the Asia region.
How does Thinking Machines make money?
Three revenue lines are on record. Professional Services are the primary driver. The others are chatGPT Business Resale and data Platform and Analytics Services.
Does Thinking Machines have an API?
Yes. Tinker API is designed for fine-tuning open-weight language models, focusing on reducing infrastructure complexity for developers. The platform supports various model architectures and emphasizes low-level control primitives, integrating LoRA for efficient GPU use. Currently in private beta with early access available.
What industry is Thinking Machines in?
Thinking Machines's product category is AI & Data Consulting Services. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services, with a secondary code of BPAEAAAJ, AI/ML Solution Integration & MLOps Enablement. Its NAICS code is 51821 and its SIC code is 7370.