An accessibility-centered website development for Blindekuh
Our experts developed a WCAG compliant Drupal 10 website for the non-profit organization Blindekuh, focusing on an accessible user experience for visually impaired individuals.
FAQ chatbot development and integration for 8.2 Certification
Our engineers validated the idea, developed and integrated the chatbot into the 8.2 Certification website using a retrieval-augmented generation (RAG) approach, and designed and developed an admin panel for chatbot management.
511.org governmental platform support and improvement
In collaboration with Kalamuna, a full-service website design and development agency, Lemberg Solutions has provided website support for 511.org, which provides the San Francisco Bay Area with relevant traffic and transit information.
Data acquisition for e-bike battery range prediction
Our team assisted Coboc with collecting data for e-bike battery range prediction. The final goal of the collaboration was to provide the customer with data for an algorithm that would ensure users have a highly accurate battery range no matter where their journey takes them.
CLR: Drupal Website Development and Migration to Drupal 10
We have developed a Drupal-based multilingual website for the EU-wide consumer law training program for small and medium businesses managed by Eurochambres on behalf of the European Commission.
Open Social-based online community engagement platform for UNDP
We helped UNDP migrate its legacy system into a brand new Open Social-powered online community engagement platform called SparkBlue. Alongside the migration, we extended the platform's functionality.
The Lemberg Solutions team assists powerfox with developing iOS and Android mobile apps and building the new back-end architecture based on .Net technology and Azure services for their solution that allows users to receive and manage data from digital metering devices.
Embedded vision-based solution for pig weighing automation and welfare improvement
To facilitate pig weighing and monitoring and reduce pig stress during this process, we’ve created an embedded AI system based on image recognition with the help of computer vision and non-iterative neural networks.