Shapeion Technologies
visit site- $10,000+
- 10 - 49 employees
- Yerevan, Armenia
ERP Smart System, a small AI company, is in Yerevan, Armenia and Minsk, Belarus. Founded in 2016, the team focuses on Artificial Intelligence, mobile app development, web development, CRM consulting and SI, and more.
Client Insights
Industry Expertise
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Client Size Distribution
Small Business (<$10M) 55%
Midmarket ($10M - $1B) 40%
Enterprise (>$1B) 5%
Common Project Size
$10K-$49K 2 projects
Clients
This provider has not added their key clients.
Highlights from Recent Projects
Shapeion Technologies was hired by Digital Uncut, a digital marketing agency, to automate Linkedin Ads UTM configuration and integrate Google Ads API for data extraction. The Shapeion team, led by their CTO and a Data Engineer, developed an initial prototype for the Linkedin Marketing API, which was then launched in production for all clients after internal testing and approval from LinkedIn. For the Google Ads API, they implemented all necessary ETLs and data integrations before launching the software in automatic mode for all customers. The client was satisfied with Shapeion's work, praising their skills and experience in data engineering and automation.
In a project for J TURNER Research, Shapeion Technologies developed an AI tool to categorize feedback into 22 different topics, making it easier for companies to identify areas of improvement. The Shapeion team, led by Co-Founder & CTO Alexander, developed the system mostly from scratch, going through different types of logics to achieve the desired accuracy. The partnership began in April 2021 and is set to continue until at least the end of 2022. The client was impressed with Shapeion's proposal and their flexibility, openness, and dedication.
Shapeion Technologies was contracted by a legal software company to develop a machine learning (ML) based analysis and annotation model. The model was designed to help lawyers find relevant clauses in contracts. Initially, Shapeion developed a layout analysis model and engaged a team of annotators to tag relevant sections in a document. The second stage involved natural language processing to identify specific clauses related to certain topics. The project, which began in September 2021, is ongoing, with the client praising Shapeion's relevant experience and technology capabilities.