Artificial Intelligence; Data Platforms; Digital Twins; Traceability; Decision Support; Predictive Analytics
Topic 6 – Innovative approaches for analysing raw materials value chains
Next-Tech Solutions is interested in joining RAMP Joint Call 2026 consortia as a technology and digitalisation partner, particularly under Topic 6, while also being open to relevant projects under Topics 2, 3 and 4.
We can contribute to the design and implementation of AI- and data-driven solutions supporting raw-material value chains, including interoperable data platforms, digital twins, predictive and optimisation models, decision-support systems, monitoring and traceability tools, dashboards and system integration.
Our particular interest is in collaborations where digital technologies can improve resource efficiency, transparency, circularity and evidence-based decision-making. We can support the full technical lifecycle, from requirements definition and architecture to software development, integration, testing, validation and demonstration.
We are interested in partnering with raw-material producers and processors, recycling and recovery companies, manufacturing organisations, research institutions, technology providers and industrial pilot hosts that can provide domain expertise, datasets and real-world validation environments.
Next-Tech Solutions is a Bulgarian technology SME specialising in software engineering, artificial intelligence, data-driven solutions, cloud and web development, system integration and digital transformation.
The company develops customised and interoperable digital solutions, with experience in data processing, API-based integration, dashboards, AI-supported analytics, forecasting applications, monitoring systems and technically complex software platforms.
Next-Tech Solutions has experience in European research and innovation projects involving advanced digital technologies, cybersecurity, AI, interoperability, decision-support tools and the transformation of research concepts into demonstrable software solutions. The company can contribute software architecture, AI/data engineering, backend and frontend development, integration, cloud deployment, technical validation and project implementation capabilities.
We are particularly interested in applying these capabilities to sustainable industry, circular economy and raw-material value chains.
