©2018 by Olmait

AI and Machine Learning

Agile, scalable, and real-time solutions

Hire well-experienced developers to support your AI processes. Knowledgeable and skilled in Tensorflow, Keras, Scikit-learn, PyTorch, and more, your newly hired developer or team will be a welcomed addition.

 

Dynamically scale your development capacity to optimize for cost and quality, giving you a powerful competitive edge. Work with your very own specialized and experienced team to find the right solution.

Computer Vision

  • Image segmentation, Object detection

  • Object recognition, classification

  • Facial recognition, similarity check

  • Face landmark detection, face filters

  • Real time image and video processing

  • Text extraction (OCR)

Data Analysis, Prediction

  • Prediction based on past data

  • Fraud detection

  • Feature extraction, pattern recognition

  • Anomaly detection

  • Recommender systems

  • IoT data analysis

NLP and Speech Processing

  • Sentiment analysis

  • Parameter extraction from text

  • Speech recognition, identification

  • Speech to text, Text to speech

  • Text generation

  • Chat bots

Experties

Success Stories

Insurance Company Sales Chatbot

Created and designed a question-answer system to sell products to an insurance company’s customers. Worked on intent detection and trained a custom model to develop an incredibly smart chatbot storing statistics on each user. Used the intend detection algorithm implementation, Python, Flask, MongoDB and - last but not least - React for the admin panel.

Face Similarity Check for a Bank

Using Microsoft’s one million celebrity face open dataset to train the Neural Network, creating a full-proof face recognition and user identification search. The face identification software created has more than 90% accuracy. Used Convolutional neural networks, Recurrent Neural Networks, trained a set preparation from MS-Celeb-1M, worked on Neural Networks - PyTorch, and Computer Vision - OpenCV.

eFlow Document Management System for the Government of Georgia

Created a document management system running currently in most Government agencies in Georgia. It has almost 100,000 active users and contains more than 1b documents. The solution was a necessary means to improve and streamline the effectiveness of the agencies, saving the government a significant amount of resources due to easy and fast document exchange. Created the core of the system and its modules using Java, Java EE, netty, threads; Spring Framework, Spring boot; Hibernate ORM; Hadoop, HBase, Spark; Apache Tomcat, Jboss, NGinx; Maven, Jenkins, Jira, Git, Nexus, Mercurial; Solr, ElasticSearch, MongoDB, Redis; and Oracle, MySql, PostgreSQL.

Car Image Classification for an Insurance Company

Developed a neural network to predict car damage from an image, what the car make is, and determine from which point of view the picture was taken. By collecting a major training set and label it correctly, created a state-of-the-art model for predictions. The insurance company then used the Neural Network model to create an app for its users, enabling them to insure their cars without any help of an insurance agent. Used Convolutional neural networks, trained a set preparation from various sources, and worked with Tensorflow, OpenCV, Scikit-learn, and Scrapy.

Contact us

Interested in placing an order or learning more? Simply reach out today.

3 Aluf Kalman Magen (WeWork Sarona), Tel-Aviv, Israel

45 Derech Ha'atzmaut (WeWork Downtown Haifa), Haifa, Israel

1/27 Adam Mitskevichi str. Tbilisi, Georgia​