Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- Zapia
- Google Cloud Vertex AI
- Anthropic Claude models
Tech Stack
- Google Cloud
- Vertex AI
- Anthropic Claude models
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Digital Expertise
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Data Management Platforms
- Networks & Connectivity - Cellular
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Maintenance
- Remote Asset Management
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
About The Customer
BrainLogic is a technology company focused on enhancing digital commerce experiences for Latin Americans. The company developed a personal AI assistant named Zapia, which caters to the region's preference for direct conversations between buyers and sellers. BrainLogic's mission is to help Latin Americans be more effective while saving time and money. The company operates in the United States and Uruguay and has successfully scaled its operations to support millions of users. BrainLogic leverages advanced AI models and cloud infrastructure to deliver a seamless and efficient user experience, meeting the unique needs of its Latin American audience.
The Challenge
BrainLogic aimed to create a personal AI assistant, Zapia, to enhance digital commerce experiences for Latin Americans. The challenge was to scale rapidly to millions of users while supporting complex interactions across various mediums like video, text, and images. The company needed a solution that could handle massive amounts of context in a multimodal, multilingual environment, and provide accurate answers to consumer questions. Additionally, the AI needed to operate in hyper-localized environments, understanding local dialects and cultural nuances.
The Solution
BrainLogic chose to run Anthropic Claude models on Google Cloud Vertex AI to power its AI assistant, Zapia. This decision was based on Claude's exceptional performance in Spanish and Portuguese natural language reasoning and its ability to learn from feedback. Vertex AI provided the scalable, reliable infrastructure needed to support millions of users, along with advanced developer tools for experimentation and robust security features. The AI assistant was designed to handle complex requests, provide insightful recommendations, and operate in hyper-localized environments, understanding local dialects and cultural nuances. This setup allowed BrainLogic to maintain a lean team while effectively managing a large user base.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.

Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.

Case Study
Remote Wellhead Monitoring
Each wellhead was equipped with various sensors and meters that needed to be monitored and controlled from a central HMI, often miles away from the assets in the field. Redundant solar and wind generators were installed at each wellhead to support the electrical needs of the pumpstations, temperature meters, cameras, and cellular modules. In addition to asset management and remote control capabilities, data logging for remote surveillance and alarm notifications was a key demand from the customer. Terra Ferma’s solution needed to be power efficient, reliable, and capable of supporting high-bandwidth data-feeds. They needed a multi-link cellular connection to a central server that sustained reliable and redundant monitoring and control of flow meters, temperature sensors, power supply, and event-logging; including video and image files. This open-standard network needed to interface with the existing SCADA and proprietary network management software.