Knowru Limited

Providing an innovative suite of machine-learning-related software and services with its vision of
"Useful Machine Learning, Warmhearted Artificial Intelligence"


In 2016, Ken Park founded Knowru to solve an issue that he himself felt as a data scientist. The issue was that he found the models that he developed are too difficult to be deployed and used because he a data scientist and developers use different programming languages. The existing process requires a long process of translation, testing and provisioning. He solved the issue by creating Knowru a platform that automatically creates APIs for machine learning models and nowadays, companies in various fields such as online lending, securities, blockchain insurance and chatbot development across the world use Knowru to deploy and manage their ML models.

With its gaining popularity, Knowru continues to strive to achieve its vision of “Warmhearted Artificial Intelligence, Useful Machine Learning.” The company launched other ML-related products and services, such as AI Interview, which is an online interview tool that companies can use to automate their interview processes through video and coding interviews. Knowru is committed to provide more convenient and useful tools and greater values to the clients and communities it serves.



Knowru is a revolutionary platform that deploys your machine learning models (ML models) in minutes. It solves the problem where data scientists and developers use different programming languages by creating Application Programming Interfaces (APIs) automatically for ML models. Knowru automates all tedious processes involved in deploying and managing ML models such as translation, testing and provisioning.

AI Interview

Using AI Interview, you can utilize both coding and video questions to evaluate candidates more accurately and automatically. Use it for different types of jobs from sales representatives to software engineers and data scientists. Clients report savings money and time to schedule on-site interviews, provide hotels and transportation and actually conduct on-site interviews. Candidates also say loving the chance of objectively proving their coding abilities and relevant work experiences.

ML Consulting Service

In achieving its vision of “Warmhearted AI, Useful ML,” the company realized that more than often organizations not only require good solutions and platforms but also excellent IT professionals such as data scientists and ML engineers. Thus, the company also started providing ML consulting services where its trained IT professionals help organizations successfully complete their ML initiatives. So far, the company has helped companies in different fields and sizes efficiently adopt ML models in predicting loan default likelihoods, recommending securities for new customers, prioritizing operational tasks and so many more.


Popular Posts

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Find exceptionally bad performance groups in your loan portfolio

How happy would you be knowing ALL segments whose default rate is more than twice of the average? The advent of BigData and cloud technologies has made such credit anomaly (or fraud) detection possible. For instance, our algorithm has found all segmentswith at least 40 customers and 50% default rate from the German credit data. This post suggests a new way of identifying patterns of highly bad…

July 13, 2017

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Building an API for your credit model in 5 minutes

The last 3 posts explained how to create a credit model, build an API for the model using plumber and scale it up using AWS and Docker:Post 1. How to create a RESTful API for a machine learning credit model in RPost 2. How to scale up machine learning credit model RESTful APIs using DockerPost 3. How to scale up credit model APIs using AWS.These posts demonstrate machine learning models can be…

June 28, 2017

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How to create a RESTful API for a machine learning credit model in R

In our last post, we talked about how APIs can solve issues when programmers use different programming languages. For example, R is the language many data scientists use to create machine learning models but is rarely used by other types of programmers. As a remedy for the problem, we will create a RESTful API using only open source libraries and see that other programming languages can interact…

March 01, 2017

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Recent Posts

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Managing Risks for Online Lending Products In Different Countries

As more lending companies got to use Knowru mainly for their financial risk management, I got to work with Chief Risk Officers in different countries and better understand the differences in their risk management methodologies. In this blog post, I’d like to highlight some environmental differences across countries and these differences’ implications on risk management. In the concluding part, I…

January 15, 2019

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Deploying Deep Learning models using Knowru

Thanks to its interface getting easier, Deep Learning has become prevalent when analyzing irregular and complex data formats such as text, audio, images and videos. However, when it comes to deploying Deep Learning models, machine learning (ML) engineers found themselves left with not many choices because Deep Learning models require a high hardware specification such as GPU due to their…

December 04, 2018

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[2018-11-27] Knowru Release Note

1. Code coverage featureLast time, we released a feature to see statistics related to test results (like each field’s statistics (e.g. min, median, max) and number of passes and fails). This time we are excited to release a code coverage feature where you can see what lines of code are tested during your testing on Knowru.In a test scenario result detail page, click the “View This File” button for…

November 26, 2018

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Contact Us

Hong Kong Office+852 8192-5720

13th floor, 8 Queen's Road Central, Hong Kong 999077

Seoul Office+82 02-558-7815

Suite 1712 Meritz Tower, 382 Gangnamdaero, Gangnamgu, Seoul, Korea 06232

Chicago Office+1 847-533-6477

Suite 806 451 West Huron Street, Chicago, IL, USA 60654

Chongqing Office+86 186-8088-7815

Floor 26, Zhongyuhengda Guangchang, Xinpaifang, Chongqing, PRC 401147