Not sure where to start AI project? Or getting stuck with how to work on AI project while you have problem that you might want to assess AI slution? Getting started with AI project requires to understand what drives to success. This service starts with working together to identify problem statement, validate data and structure, and make an appropriate tailor-made proposal to your company. This typically is free of charge at first and takes few weeks with a couple of meetings.

If you have already started AI project at your company but would like to have a mentor to get an advise, this is the service for you. We are active in the front lines at AI industry and provide best practice from there. We assess if your project goes with an appropriate direction and give you an input to adjust as needed. We also provide implication on how you organizationally success the project, such as how to convince your company to kick-off AI project, how to successfully start-up data science team and how to scale, and how to find a talented candidate. Customized data science training for both business and engineering team are also offered.

Based on customer’s problem statement, we create a customized data analytics framework. This sets up a pipeline to pull data across databases, warehousing them to be able to make data analyzable. This combines with exploretory data analysis to understand data. Then we conduct feature importance study and AI model benchmark to develop best practice models and finally create Proof of Concept(PoC) AI product with KPIs identified through the process. The PoC typically comes with hypothetical solution that needs to be validated before productization.

Now that we have KPI in place and best-performed AI model to satisfy an objective with hypothesis proved, it’s time to scale our Proof of Concept product in live data structure. AI productization requires systematic automation from data pipeline through deployment by MLOps/DevOps. We develop those infrastructure and deploy AI model there for you. No worry, we will keep validating an impact and tune up model in a regular basis to keep the model up and running.