iConstruye simplifies digital architecture and streamlines processes

THEIR CHALLENGE

Digitizing the construction industry

Business-to-business (B2B) digital services company iConstruye uses a full suite of MongoDB offerings to develop solutions that serve the construction industry. The company’s products streamline supply chain operations, from requesting contract services all the way to making payments. Since its founding in 2000, iConstruye has expanded from its headquarters in Chile to Peru, Colombia, and Mexico. In 2017, the company started using MongoDB Community Edition, a self-managed document database, to meet its database needs. Since then, MongoDB’s document model has helped the company simplify development and boost developer productivity.

In 2019, the company shifted focus toward generating differential value in its products. To support this goal, iConstruye wanted to remove the additional burden of synchronizing a database with a search engine, so it migrated to MongoDB Atlas, a fully managed solution, and began using MongoDB Atlas Search and MongoDB Atlas Vector Search. iConstruye now makes extensive use of these advanced search capabilities to develop cutting-edge solutions for its customers. “MongoDB helps customers like us gain new capabilities as technology evolves,” said Matías Vázquez, vice president of engineering at iConstruye. “We trust MongoDB architecture, so we don’t have to find and vet external providers to access the latest features and advances.”

OUR SOLUTION

Using MongoDB Atlas to enhance operations for iConstruye

Prior to using MongoDB Atlas, iConstruye had a complex architecture that required several services acting as extract, transform, and load (ETL) layers to connect its database with its search engine. Adopting Atlas Search and Vector Search helped the company greatly simplify its search architecture. “By removing that complexity, our architecture became more efficient and resilient, which enhanced the value we deliver to our clients,” said Vázquez.

Because Vector Search holds the full context of iConstruye’s source code, the company also made its code reviews more complete, secure, and error free. The addition of Vector Search also helped the company streamline internal processes and enabled the development of generative AI agents. The addition of these agents improved time to market by 20% and increased the company’s deployment frequency rate by 25%. “With MongoDB, we can ride the wave of new technologies like generative AI,” said Vázquez.

OUTCOME

Transforming the construction industry with AI

Now that iConstruye has improved its processes and offerings with MongoDB, the company has set its sights on deploying generative AI agents integrated into its solutions. “We know that construction is one of the least digitized industries in the world,” said Vázquez. “We took the first step to digitize these processes 25 years ago. Now, we aim to launch a range of AI agents that will further automate and transform the industry.” iConstruye also works closely with MongoDB to provide feedback and further enhance MongoDB offerings.

iConstruye will continue pursuing its strategic goal of internationalizing the brand. “MongoDB helps us deepen our strategy and work toward completing the total evolution of our offerings,” said Vázquez. “That helps us achieve our goal of delivering value across Latin America.”