Custom SaaS and AutoML: A Perfect Match

In recent years, there has been an explosion in the availability of software as a service (SaaS). A custom SaaS is one which is developed by an outside development firm for a client that plans to then resell access using the SaaS model. This is a common model used by companies that want to own and operate a SaaS but don‘t have the development expertise to build it on their own. Often the company has an internal system or process which they want to introduce to the wide world.

What is AutoML?

AutoML is a method of using machine learning algorithms to automatically select and configure the best model for a given dataset and task. This is done by iteratively testing different models and configuring them to find the one that performs the best.

How does AutoML work?

AutoML algorithms typically work by first training a number of different models on the data. They then compare the performance of the models and select the best one based on a number of criteria. The selected model is then configured and fine-tuned to further improve performance. This process is then repeated until the best possible model is found.

How can Custom SaaS take advantage of AutoML?

Many SaaS offered today have some form of machine learning amongst their features. The biggest advantage that AutoML gives custom SaaS is that advanced ML features can be implemented faster and at a much lower cost than with traditional methods. This lets you focus on the other parts of your application and build a wider set of features in less time.

AutoML: Boosting custom SaaS development time

AutoML is a powerful tool that can be used to speed up the development of machine learning models. This can be a great advantage for custom SaaS, which can use the extra time to build more features into their applications.


  • CRMs/ERPs
  • Payment Gateways
  • Accounting Systems
  • Lead Managements Tools
  • Web Apps
  • Legacy Systems
  • E-Commerce Systems
  • Freight/Shipping Systems
  • Social Media
  • Email Services

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