At 4A Labs, we develop software solutions that automate quality control for manufacturing companies. Our team, composed of experts in Mathematics and Computer Engineering, leverages their knowledge in Artificial Intelligence and Machine Learning to optimize production processes. We offer software development and consultancy services for medium and large-scale companies, utilizing AI and image processing techniques to ensure that products meet predetermined criteria. Our systems also identify production issues and automatically generate management support reports with solution suggestions.
Our automation system uses camera and image processing algorithms to inspect finished products as they move toward the packaging area. The cameras on the production line are programmed to verify key product characteristics. Issues such as missing parts, defective adhesive labels, or incorrect artwork are detected and reported to the production manager in less than 2 seconds.
Identity and Photo Control Software
4A Labs uses Neural Networks to detect whether identification cards or similar documents are authentic or fabricated. The information extracted from the identification card is verified with MERNIS, providing clear results on the document’s authenticity. Our technologies can be seamlessly integrated into any CRM, ERP, or MRP system through API endpoints.
Artificial Intelligence is one of the areas that 4A Labs has been working on for many years.
We have added more value to our e-commerce and retail customers by integrating AI-based decision-making and measurement tools.
CuraMuse is your personal shopping expert, combining artificial intelligence and human touch. It analyzes your interests, shopping habits and more to provide personalized recommendations based on your or someone special’s unique preferences. As your virtual shopping assistant, CuraMuse carefully considers every detail and prepares recommendations that fit your lifestyle.
We have added a digital food, health and food assistant to CarrefourSA’s mobile application. The application, which includes features such as recipes, food recognition from images, listing the ingredients of the meal, sorting the necessary ingredients and adding them to the basket, calorie calculation, meal planning, and allergy tracking, is added to the application as a digital assistant via an LLM-based AI model. We will see it in the CarrefourSA application in the markets very soon.
To develop this platform, we scanned approximately 1.2 million food images and contents and ran approximately 1.8 million food and ingredient data on ML models and algorithms.
Little Lunches, a healthy food and meal planning app for kids and families, is the most widely used digital health and food assistant in the United States. ML models prepared according to 780 thousand different American and South American food cultures and content are presented to users as an AI chatbot experience via an LLM.
Bimetric AI is a digital customer representative that provides 24/7 sales and marketing support for marketplace stores. It learns the content and products of brands and produces special answers to customer problems. Easily integrated for 3 minutes, Bimetric AI helps you increase your sales conversion by determining your most frequently asked products and trending topics with automatic or tools for full control.
Social AI
It is an interaction bot that can connect to live broadcasts on social media, follow broadcast streams, read comments, and provide feedback as comments. The AI robot can also work as a moderator.
Samet Product Information Mobile Application
We are developing a mobile application that will provide the sales team with fast and accurate access to detailed product information. The application extracts, categorizes and processes product data (from PDF documents). Thus, it will provide instant answers to complex product-related problems. Core functions include product comparisons, a natural language processing (NLP) based question-answer system and the ability to display rich answers in the form of text, images, links and data tables. The project is being prepared in multilingual formats, including English and Turkish.
