LAB325
visit site- $5,000+
- 10 - 49 employees
- Sintra, Portugal
Client Insights
Industry Expertise
50%
20%
15%
10%
5%
Client Size Distribution
Small Business (<$10M) 80%
Midmarket ($10M - $1B) 20%
Common Project Size
$10K-$49K 5 projects
$50K-$199K 1 project
$200K-$999K 1 project
Clients
This provider has not added their key clients.
Highlights from Recent Projects
LAB325 was hired by Inweb, a Ukrainian digital marketing agency, to streamline operations and enhance productivity. The project involved developing and implementing an AI-based solution for creating text ads for Google Ads. The AI-based solution developed by LAB325 made the ad creation process more efficient and faster, utilizing natural language processing algorithms to generate ad headlines, descriptions, and other copy based on user input. The solution also offers suggestions and variations for headlines and descriptions, identifies high-performing keywords, and ensures compliance with Google Ads policies.
AI Mentor LANA, a company offering a 24/7 AI mentor for relationships, personal growth, and intimacy, hired LAB325 to develop a mobile app. The key deliverables included the development of a user-centric mobile application design, the implementation of the user interface using React Native, creation of a robust backend using Node.js, and the configuration and deployment of databases. Additionally, LAB325 was responsible for the deployment and management of servers on AWS, the development of an AI-powered assistant, and the integration of cutting-edge third-party APIs.
Datavise, a company delivering AI solutions and data analytics services, hired LAB325 for assistance in training and implementing an AI model for a healthcare application. The task involved developing and training AI models for nail health analysis and the implementation of the trained model into a web-based platform for real-time image processing. LAB325 successfully trained an AI model to analyze nail health, showing high accuracy in determining nail condition. They also implemented the trained model in a web application, providing a simple user interface for displaying analysis results and recommendations.
Timeliness
Service Excellence
Value
Would Recommend
Awards
2024
2024
2024