Deepchecks vs Wonder

Deepchecks is a QA platform that inspects the production data and models so that data science leaders have control over the quality of their machine learning systems.

Deepchecks is a QA platform that inspects the production data and models so that data science leaders have control over the quality of their machine learning systems.

Functional Benefits
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* ML Validation of training data and ML model. Deepchecks automatically analyzes the data and the model, detecting potential pitfalls before the model is deployed into production.
* Observability of ML in production. Deepchecks provides a customizable dashboard, that enables you to view and explore all of the relevant real-time metrics related to your ML systems.
* Alerting about various issues in live ML systems. Deepchecks analyzes the inputs and outputs of your ML systems in real time, and alerts you about various issues related to data drift, data integrity, etc.
* Detecting mismatches between research and production environments. Deepchecks connects both to the training data and the production data, and notifies you about mismatches related to the data scheme, distributions, etc.
* Quick querying of problematic production data. Once an issue is detected, Deepchecks enables a one-click setup that enables running code on the relevant production data.

Business Benefits
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* Saves orgs a huge amount of internal development+maintenance time (for an internal monitoring system)
* Saves time of engineering and DS when production issues come up
* Saves time of engineering and DS when deploying a new model into production (automates tests, etc.)
* Problems in production will end up living there for less time
* We will also detect issues that you never would have detected otherwise

Working with Deepchecks reduces the possibility of production issues, saves time, and creates an enabling and safe environment for developers.

Emotional Benefits
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* Being in control. Deepchecks’ platform provides a detailed and organized dashboard. Everything is convenient and transparent.
Independence.
* Feeling professional/smart. Deepchecks enables Data Science leader & Engineers to learn and be up to date, while working with best practices.
* Feeling empowered. Deepchecks platform enables Data Science leader & Engineers to mitigate risk, streamline processes & have the best in class.
* Deepchecks enables its users to be efficient and achieve peace of mind while using the most powerful technology in the ML world.

Location: Tel-Aviv, Israel

A truly borderless business world.

Founded by serial entrepreneur Keith Tan, Wonder is a global human resource and technology services provider, operating in 7 countries and 9 cities globally. We help companies build and manage teams of tech and business talents around the world.
Since established in October 2015, we have been working on various projects with various scale, delivering top-notch service to empower businesses and organizations. We have also grown to reach the number of 25 man-power in less than three months and still expanding.

Location: Singapore, Singapore