matos.ai supported a new financial services company that wanted to provide additional value to their app users by providing location-based information on nearby activities.

matos.ai created extraction templates for two large food and entertainment websites (100K+ data points). The sites were then set to repeat their work on a weekly basis.

Step 2: Augment & Validate

Not all location-based information was available through these websites so a reverse-geocoding operation added in order to render results into a map application (Google).

Step 2: Integrate

As the customer required integration with a production-scale mobile application, an API was created to allow users to pull information from our data lake as needed.

Offer

4-week timeline, 1-year of continuous updates.

matos.ai supported an aspiring tutor platform that connects tutors to schools. The goal of our work was to create a turnkey sales solution to funnel leads into their CRM (hubspot).

Step 1: Extraction

matos.ai created extraction templates for 5 websites consisting of freelancing platforms where tutors advertise capability or post on classifieds. The sites were then set to repeat their work on a quarterly/weekly basis depending on the frequency of updates.

Step 2: Augment & Validate

As not all information for each CRM entry was present on the sites, matos.ai created a series of web crawls to append additional information to complete each data row. In addition, logic checks were generated to perform validation, ensuring high quality information.

Step 3: Integrate and Automate

Categorize data under either Integrate (CRM/DM) or Build (Social Media) and integrate to customer workflows (CRM Hubspot for qualified leads and other lists if needed).

Offer

4-week timeline, 1-year of continuous updates.