Solving high-impact problems with AI & Data

We make clients successful by building data systems that transform their businesses.

We are a leading-edge data technology consultancy with operations in Manila, Singapore, and Bangkok. We transform organizations by building enterprise AI and cloud data platflorms.

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Co-create with you Deliver True Impact Geospatial Intelligence Multidisciplinary

End-to-end collaboration, from pinpointing unique business problem, development of user-friendly solutions, until deployment and success measurement. We’re with you every step of the way.

Having skin in the game through success-based pricing arrangements with multiple clients.

We have a collection of socio-economic, demographic, and satellite data from multiple sources that can be integrated with your own data to get more robust insights with a wider perspective.

We are composed of some of the best engineers, researchers, designers, communicators, and consultants working together to make the Philippines a Global Hub for Data Science.

VALUES

Growth Mindset

We are a team of humble learners. We constantly seek to improve ourselves and our client organizations.

Relationships Matter

We work in teams to solve difficult problems. Great relations are key to getting things done in the high-uncertainty environments that we work in.

Build for the Future

Scalable systems enable us to thoughtfully build a great company.

Trust and Accountability

We believe that a high trust and high accountability workplace is more creative, happier, and more productive.

WHAT WE'RE LOOKING FOR

Problem solvers, Curious about data, Quick learning agility, Strong sense of initiative, Open communication skills.

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STORIES
January 25, 2022 blog-post

Where are your Etiqa accredited health facilities?

Using geospatial analytics, we made a smart map to make it easy for you to find the locations of your nearest Etiqa accredited health facilities! Try it yourself.

January 17, 2022 case-study

Using Geospatial AI to Monitor Rice Productivity in Cambodia

We trained an ML model to extend rice yield data to over 50x more plots of land in Cambodia, providing a faster, more scalable, and cost-efficient method of measuring productivity for the Asian Development Bank.

January 6, 2022 blog-post

ML Ops with Dagster: 5 Key Features for Developing a Continuous Training Pipeline

Consistent Data Preparation, Model Deployment, and Model Retraining are some of the challenges faced when bringing ML systems to production. Find out how we utilized Dagster to tackle these problems and implement a Smart Search Application.

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