Full-Cycle Data Science Consultancy.
Data Science and Automation Engineers
A hybrid of Science & Engineering
We're academics, but we're not just academics. We're also product developers who care deeply about your business.
Fully-Managed, Lifecycle Support.
A core tenet of the Supertype culture is client empathy. That's why we adapt to the way you work, and not vice versa.
We understand data science is often intertwined with business processes and horizontally integrated with various supporting business functions. We 'localize' to each organizational structure, and deliver solutions fully respecting your existing technological infrastructure.
From custom software development in the Artificial Intelligence domains (computer vision, natural language processing etc) to automation pipelines for routinely, day-to-day tasks, we can play a role as an advisor, implementor, technology enabler and developer.
Data Science, with Results.
Data engineering work to lay the plumbing of your analytics infrastructure
Custom AI engineering work built to specifications
Implement data-driven processes in place of human labor with confidence
Why Full-Cycle Data Science at Supertype?
If you’re looking to introduce productivity gains and efficiencies in your business process using AI and machine learning, you’ve probably been told to hire a team of data scientists, one or two data engineers, a database person and an ETL specialist. Maybe a number of software developers along with a UX designer. And a business analyst to translate business needs to technical specs. When you’re ready to deploy, your IT team gets involved along with the new cloud infrastructure consultant you hired.
This is unruly, and puts a lot of inertia on your data-driven initiatives. Supertype practices a full cycle data science consultancy model by combining the science domains (algebra, mathematics, calculus) with the engineering prowess from the computer software domains. We deliver solutions, not formulas.
Supertype is the brainchild of Samuel Chan, who also run Indonesia’s most acclaimed data science education center, trusted by more than 400 companies and institutions across Indonesia, Singapore and Thailand. He has built and managed multiple software development teams for numerous businesses across Asia Pacific in the last 10 years, and has built and sold multiple successful businesses, including a Slack chatbot, a counter-fraud software, an audience management SaaS, and multiple automation tools for the education sector, before setting up Algoritma, a 40-person strong data science center in 2017.
Samuel is also an avid open source contributor, ranked #1 in Indonesia on StackOverflow’s R and Python topics (top 2% worldwide) between 2017 and 2021 (80+ badges, 1.1+ million reach), Asia’s first RStudio Certified Trainer and a guest lecturer on the subject of machine learning, fraud detection, computer vision and software development.
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We promise to be great advisors to you -- that means focusing on your business problems, not our service offerings.