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Average ratingGreat
4.3/ 5

Based on 8 reviews

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Questions about BuiltOn

Based on 8 reviews, listing data and website checks · updated yesterday

What is BuiltOn?

BuiltOn empowers developers by providing access to smart commerce APIs with Machine Learning capabilities, allowing them to build web and app solutions quickly.

What specific ML features are included in the APIs?

The company's APIs include built-in recommendation, similarity, and complementary ML models that are already hooked up to user data and ready to be trained and deployed in production.

How does using BuiltOn help developers focus on their core tasks?

Developers can save time on the backend and focus on their frontend, business logic, and customer experience while building faster with fewer resources.

What is the current rating and how many reviews exist?

The Trustburn rating is 4.3 out of 5, based on 8 reviews posted between January 2023 and December 2023.

What do reviewers praise about the service?

Some reviewers say the team is very professional, knowledgeable, and helpful, while others note that the services provided were exceptional and delivered on time.

What does the website say about the deployment process?

The website states that the ML models are ready to be trained and deployed in production, which helps developers avoid spending extra time on backend setup.

How do customers describe the team's communication style?

The team is described as friendly and helpful, with one reviewer mentioning they understood requirements and provided exactly what was needed.

Who is the ideal customer for BuiltOn's services?

The company's services are aimed at developers who want to build web and app solutions quickly and grow as fast as they want.

How can I contact BuiltOn?

You can reach BuiltOn by e-mail at hello@builton.dev.

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About BuiltOn

BuiltOn empowers developers by providing access to smart commerce APIs with Machine Learning capabilities. Our APIs can be used to build web and app solutions quickly and grow as fast as you want. Recommendation, similarity and complementary ML models are built in, already hooked up to your data and ready to be trained and deployed in production. Save time on the backend. Focus on your frontend, business logic and customer experience. Build faster with fewer resources.