Web applications, AI agents and computer-vision devices — designed for specific business processes. For manufacturing, the food industry and healthcare.
Deployments for food producers, FMCG brands, global e-commerce, and clinics and medical practices.
AI agents that process documents, classify requests and support quality decisions — with full human oversight. Computer vision for detection and quality control, and predictive models trained on client data. Deployed in an EU cloud or on dedicated infrastructure.
Let's talkWe design the electronics, enclosure, firmware and AI model as one coherent product. Measurement stations, IoT sensors, computer vision running directly on the device — with no image data sent to the cloud. From 3D-printed prototype to pilot series.
Let's talkWeb systems that bring order to processes previously run in spreadsheets and email threads. Complaints, labels, multilingual training, documentation — with ERP/MES integration, data encryption and GDPR compliance.
Let's talkWe combine software, AI and hardware in one team. Below are the areas where this combination delivers the most value.
Agents that process complaint reports, specifications and documentation. Computer vision on the line, prediction based on production data. The system does the work; decisions stay with people.
Let's talkMeasurement stations, cameras with on-device detection, 3D-printed enclosures and firmware — designed and integrated with existing systems by a single team.
Let's talkWeb applications, operations dashboards, document and label generators, multilingual training platforms — with ERP, MES and CRM integration.
Let's talkApplications for clinics and medical practices: patient data encryption, access control, GDPR compliance. Security that stands up to audits.
Let's talkWe train teams to work with AI tools, and we maintain and develop deployed systems — also after the project ends.
Let's talkMost projects combine expertise from several of these areas, which allows us to deliver complete, coherent solutions.
One team takes a project from concept to a working system — whether the starting point is a complete specification or just an idea.
An agent doing real work within a process: it reads documents, classifies requests and prepares decisions for approval.
A complete device design: electronics, enclosure, firmware and the AI model. From prototype to pilot series.
A system that carries a process from request to report — replacing scattered email threads and spreadsheets. Complaints, labels, documentation.
A camera and a model on the production line: quality control, detection, counting — in real time, with no image data sent to the cloud.
Integration of existing systems (ERP, MES, CRM) and predictive models built on operational data.
Team training in working with AI tools, plus ongoing maintenance and development of deployed systems.
The scope of cooperation is defined during an initial technology consultation.
Book a consultationExperience proven by deployments running in production environments.
Across software, AI and hardware. We run projects from the first prototype through to long-term maintenance.
For the manufacturing, logistics and healthcare industries, as well as the events and consumer services sector. Our systems run in warehouses and on production floors.
Internally developed products serve as a proving ground for the architectures used in client deployments.
Hosting in the European Union or on client infrastructure. Encryption, GDPR compliance, and no data used to train external models.
Get in touch about a technology consultation, a quote or a pilot deployment.
All information shared with us is treated as confidential, and an inquiry involves no obligation.
The project carried out by NEUROCORE Sp. z o.o. is co-funded by the European Union and covers the development and pre-deployment preparation of the Qensa AI system, which supports quality control processes in the food industry.
The project includes preparing a production-ready version of the system, integrating existing modules into a single solution, implementing a semantic data model and a decision engine, and building the frontend layer and the administration panel. It also covers preparing the product website, developing the pricing strategy and subscription packages, configuring mailing campaigns and Google Ads, participating in an industry event, and publishing promotional materials. In the final stage, pilot tests with customers, usage data analysis and iterative optimisation of the system will be carried out.
The project's target group consists of companies in the food sector, in particular people responsible for quality control, food safety and quality process management. The project's results will also benefit potential pilot customers and users looking for modern tools supporting documentation analysis, quality workflows and operational decision-making.
The aim of the project is to develop and prepare for commercialisation an innovative AI system supporting quality assurance processes in the food industry, and to verify its market viability through pilot, marketing and sales activities.
The result of the project will be a production-ready Qensa AI system, an operational marketing and sales infrastructure, completed pilot tests with customers and confirmed market interest in the solution, including the acquisition of at least 50 sales leads.
Project value: PLN 214,563.00
European Funds contribution: PLN 200,000.00
