©2018 by Olmait

Software and Web Development

Competitive, user-friendly, and bug-free

Our pool of tech talent offers developers knowing how to seamlessly merge the services of multiple disciplines, including Java, Python, JS, NodeJS, AngularJS, Oracle and more.

Web Design

Find web developers better than anyone, supporting you and your team getting a robust online presence creating instant trust, credibility.

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

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

1/27 Adam Mitskevichi str. Tbilisi, Georgia​