Other Services

NFT Handshake - Initially, the client sought software for personal use, requiring a rapid MVP delivery. Upon achieving this, the project evolved to scale for a broader user base, necessitating continuous feature updates and user support. Subsequently, as the project gained traction, we revamped the architecture, migrating it to the cloud with enhanced features and usability. Collaborating closely with the client, we followed an Agile approach, iteratively implementing a product roadmap with frequent deployments and visible progress. Transitioning to a public SaaS model marked another milestone, prompting us to redesign the architecture for enhanced security and agility. Throughout the project's evolution, our team adeptly navigated changing priorities, market challenges, and user requests, ensuring the tool's continued support and success. Technologies used include Google Cloud, Ethereum, Infura, node.js, Python, vue.js, Wyvern.

KTC - The service provides comprehensive data on recent arrests across various counties in the USA for the defense attorneys with. We've meticulously crafted a streamlined process to extract, store, and authenticate the most precise information on recent arrests. This scraping procedure occurs daily, ensuring that users have immediate access to the latest and most relevant data.

Unilime Team maintains and develops the massive Cloud infrastructure of Galleon responsible for data collection, storing, analysis, and data warehouse functionalities. This is a Big Data project and our engineers are taking care of data integrity and availability keeping the DevOps efficiency/cost balance. Unilime team has implemented various features that help clients to be on top of their logistics costs, like contract auditing, payments, custom reports, financial information, etc.

Unilime successfully developed and integrated an AI assistant for a leading digital consulting company to enhance user assistance and promote sales. We fine-tuned the AI model using industry-specific data, ensuring it provided accurate and relevant responses. Rigorous testing refined its performance, addressing inconsistencies and improving its ability to handle a wide range of inquiries. Once fine-tuned, we seamlessly integrated the AI assistant into the company's existing systems, enabling interaction with various platforms and tools. The AI assistant's primary objective was to assist users by providing instant support, handling inquiries, offering personalized recommendations, and guiding users through the company's services.

Using the Python programming language our team has developed a software suite capable of performing several key functions. Primarily, it enables the retrieval of results from medical laboratory analyzers connected via LAN or USB. This functionality facilitates seamless integration with various analyzers, allowing for streamlined data acquisition. Furthermore, the software incorporates parsing and conversion capabilities to transform the obtained results into the HL7 format. Additionally, the software includes a version updating feature, which enables the easy and efficient retrieval of the latest version from the repository. This ensures that the software remains up-to-date, incorporating any enhancements or bug fixes provided by the repository.