IntelePeer

United States of America

Challenge: Improve the control, analysis and storage of data generated daily by hundreds of millions of minutes of daily telephone calls.

Solution: Process millions of data per second has been one of the most challenging and exciting tasks that our team has had, not only we managed to overcome the challenges proposed but also create an ecosystem of innovation in the company to solve all the variables that has this emblematic automatic communications company CPaaS.

SaleSavant

United States of America

Challenge: Permanently collect and organize data related to prospects for business.

Solution: Thanks to the Natural Language Processor and Machine Learning, we identify general management changes in companies, basically segmented companies for prospects and detected changes in the C Level and in news announcements. This allows clients to have real-time negotiation opportunities.

CrossBorder Solutions

America, Asia & Europe

Challenge: Improve the adaptation of global companies to different international tax regulations.

Solution: We built a voice control and voice recognition platform to implement automatic wizards through AWS and ALEXA and improve the adjustments that companies must make according to the legislation of the countries in which they do business.

DivviMap

United States of America

Challenge: That all farmers in Nebraska could buy a drone for scouting to recognize the quality of corn growth.

Solution: We help farmers to detect anomalies in crops and give possible predictions about the reason that generates them. This thanks to a web application connected with drones easy to use in mobile app.

KIAI

United States of America

Challenge: Compare the content of a website with the pages of the competition

Solution: We were able to create tracking applications with scrapping in the construction market with the content published by similar companies, we were able to make the company more competitive by having automatic tools for content topics and service offerings.

Lincoln Stars

United States of America

Challenge: Create an app that allow the fans gain information about the team.

Solution: We were able to bring the fans of the emblematic Hockey team closer together, so that they could place bets with the scores of the players, while they receive minute by minute information about the match. The system scores points to fans who get their bets right.

Family Pet Project

United States of America

Challenge: Create a personality-based dog adoption platform

Solution: There are thousands of dogs in shelters waiting to be adopted and developing a tool that connects with interested people seems obvious. Not only do we manage to connect people with dogs based on their personality and habits, we also track the entire adoption process and predict what a person might last with a dog and improve their quality of life.

HAMPTONS

United States of America

Challenge: Improve communication between real estate agents

Solution: Create an internal communications platform for real estate agents where teamwork, cross-selling and real estate opportunities will be enhanced.

SIMA

México

Challenge: Effective Tax Collection / Response Analysis of State Police Officers in Jalisco, Mexico.

Solution: We developed a platform for collecting property taxes remotely as much of the population of owners are foreigners and hate to stand in line. The platform also helps to analyze the speed of response of officers on the street, based on the movement of patrols through GPS after receiving emergency calls.

Industrial Systems and Supply Inc

United States of America

Challenge: Collect, analyze, and predict effective information in agricultural and food processing environments

Solution: Allows agricultural and food plant operators to visualize the information collected by a data analysis unit located in a briefcase with sensors and processors that an operator connects to the plant in an effort to have a better understanding of the data in real time.

Américas BPS

Colombia

Challenge: Know in detail the call conversations of customer service and sales agents and identify opportunities and problems

Solution: Thanks to Artificial Intelligence engines with Speech Analytics, we build and train Natural Language Processing models (NLP) by creating our own context algorithms to extract and understand conversations between the agent and callers in order to improve their quality of life in time and patience.

Towzing INC

United States of America

Challenge: Improve the way of contacting tow trucks via mobile device

Solution: We developed a mobile application to request cranes, in which there is information about times, costs, availability and can also track the collection process in time.

LGT Transport

United States of America

Challenge: Create an efficient Transportation Management System to automate the process of truck dispatch, goods receipt and truck driver finance.

Solution: We created and implemented a mobile application that can be used by truck drivers to inform about the process of loading, unloading and transporting product. It allows suppliers to track the nearest truck for freight forwarding. Also from this system you can manage the accounting part of withholding taxes, payments, loans and accumulation of money of the truck drivers.