FCamara
visit site- $5,000+
- 1,000 - 9,999 employees
- São Paulo, Brazil
Client Insights
Industry Expertise
30%
20%
15%
15%
10%
10%
Client Size Distribution
Midmarket ($10M - $1B) 45%
Enterprise (>$1B) 55%
Common Project Size
$10K-$49K 1 project
Clients
- Farfetch
- IPSOS
- Elfa Group
- BTG Pactual
Highlights from Recent Projects
FCamara collaborated with Ipsos, a global research company, to develop an AI-powered system designed to increase efficiency. The system uses AI technology to summarize texts from research interviews and automatically generate insights. The automation process of creating the summaries was developed from scratch by FCamara's team using the ChatGPT API integration. The project involved five team members from FCamara and has been ongoing since 2014. The client has been working with FCamara for over 10 years on multiple projects and continues to be pleased with their work.
In a project with RNI, a residential real estate construction company, FCamara was hired to improve their IT infrastructure, business agility, security, and operational efficiency. FCamara's team, consisting of 2-5 employees, was responsible for the migration of email accounts and domain between Microsoft tenants, domain segregation and network infrastructure, and creation of a new Microsoft Azure tenant. They also enhanced the network and cloud security scenario. The client chose FCamara for their cost-effective pricing and easy relationship.
FCamara worked with a bank to develop an end-to-end Savings platform designed to provide a great customer journey and quick product launch and management. The bank also required resilience, performance, and security to support its growth. FCamara's team of 25 members designed, developed, tested, and implemented the savings platform, including product, customer, and operational portals for end-to-end management of the bank's savings products. The client appreciated FCamara's culture fit, value for cost, and the individual SMEs known to the bank.
Timeliness
Service Excellence
Value
Would Recommend
Awards
2025
2024
2024
2024
2024