Bulgarian software company offers artificial intelligence integrations and business management system implementations for the digital transformation of companies

A Bulgarian software development company offers implementation of enterprise resource planning systems combined with artificial intelligence, helping companies automate finance, sales, inventory and production processes. One team covers analysis, development, training and support, with proven results for international clients. Commercial agreements with technical assistance are sought with SMEs and large companies, and research cooperation with universities and R&D organisations.

Many small and medium-sized companies still run their core operations on spreadsheets, disconnected tools and manual data entry. Enterprise resource planning (ERP) systems bring accounting, sales, purchasing, inventory, production and human resources into one shared database. Artificial intelligence (AI), and in particular large language models, can now read documents, classify transactions, forecast demand and answer questions over company data. Combining the two is one of the most practical routes to digital transformation for companies that do not have large in-house IT departments. The offering company is a software development firm based in Plovdiv, Bulgaria, operating since 2019. Its team includes software engineers, product designers, quality assurance specialists and project managers, supported by a talent pool of more than 100 vetted specialists. It has delivered projects for clients in the United Kingdom, German-speaking Europe, the United States and the United Arab Emirates, and is an official implementation partner of a leading open-source business management software vendor. The technology and know-how offered covers four areas. First, implementation and customisation of a modular open-source ERP system: process analysis, configuration, data migration from legacy systems, integration with e-commerce, banking and third-party tools, user training and ongoing support. Second, integration of AI into new or existing business software: automated recognition and entry of invoices and other documents, intelligent search, recommendation features, reporting assistants and chat assistants working over the company's own knowledge and data. Third, development of custom web and mobile applications and minimum viable products for new digital services, using current front-end and back-end frameworks and the major public cloud platforms. Fourth, dedicated engineering and design teams that work inside the partner's own processes and tools for as long as additional capacity is needed. Examples of delivered work: For a corporate learning platform used by a global management consulting firm, the team supported more than 50,000 monthly users, reduced infrastructure running costs by 40% and improved the performance of key application pages by up to 10 times. For a global medical and security risk services company, a team of four senior product designers holds end-to-end design ownership of complex clinical and security workflows. The company built and operates its own AI-powered invoicing and financial automation platform for small businesses, which has more than 3,000 users. Together with a Bulgarian medical university, the company has developed an AI-based platform for assessing medical competencies, aimed at medical universities and continuing medical education providers.

Type of partner: SMEs and large companies in manufacturing, distribution, retail, professional services, education, healthcare and finance that want to replace spreadsheets or legacy systems, implement an ERP system, add AI-based automation to their processes, or need additional software engineering capacity. Expected role under a commercial agreement with technical assistance: the company carries out the process analysis, implementation, customisation, AI integration, data migration, training and support. The partner provides knowledge of its processes, access to key users and data, and takes part in testing and acceptance. Cooperation usually starts with a clearly scoped first phase or pilot, followed by further modules or a longer-term support and development agreement. Intermediary partners: IT service providers, business consultancies and accounting firms that want to offer ERP and AI solutions to their own clients, with the company acting as the implementation and development partner. Research partners: universities, research institutes and innovative companies interested in joint project proposals under EU programmes such as Horizon Europe or Digital Europe, where the company would contribute software development and applied AI expertise under a research and development cooperation agreement.