ASSIST Software

ASSIST Software is a private company providing custom software development and artificial intelligence services. The company is headquartered in Romania and operates with clients across Europe, North America and other international markets as implied by client locations and partner countries.

Services and capabilities

• AI/ML and Data Engineering: development of machine learning models, natural language processing, computer vision, predictive analytics and MLOps pipelines.
• Custom Software Development: end-to-end application design and implementation for web, mobile and desktop platforms following a defined software development life cycle.
• Cloud and Backend Engineering: design and deployment of cloud and hybrid architectures, container orchestration (Kubernetes), microservices and scalable backend systems.
• Digital Product Strategy and Design: product discovery, design thinking workshops, UX/UI design and product roadmaps informed by market and user research.
• Integration and Automation: system integration, APIs, automation of business processes and deployment pipelines.
• Research and Development for EU projects: participation as technical partner in funded research collaborations and joint R&D with universities and research centres.

Industry focus

• Healthcare: development of domain-specific software and analytics, including products for therapy support and healthcare platforms.
• Security and public safety: natural language processing and machine learning systems for content analysis and detection of radicalisation on social media and other sources.
• Construction and green technology: software for high-performance building design, microservices architecture and user-facing applications for engineering workflows.
• Sports technology: solutions for GPS-tracking devices, data services and analytics for athlete performance monitoring.
• E-learning and education: development of a digital English learning platform serving over one million users and other educational products.
• Human resources and enterprise software: AI-enhanced HR applications and enterprise systems for medium and large organisations.
• Consumer and regulated industries: user experience and engagement work for consumer-facing platforms in sectors such as tobacco.

Technology and delivery approach

• Technical themes include AI/ML, data engineering, computer vision, NLP, cloud-native architectures, microservices and container orchestration (Kubernetes).
• Delivery practices follow an established software development life cycle with Agile methodologies, including Scrum and Kanban, and options for Scaled Agile on large programs.
• Engagement models offered include dedicated teams, team augmentation and project-based arrangements to support long-term or fixed-scope work.
• R&D activity is supported through partnerships with European research organisations and participation in more than 25 EU-funded projects; collaborations with institutions such as Fraunhofer, TWI and university partners are noted.
• Certifications and platform experience are listed for vendors such as Microsoft, AWS, Google Cloud, Adobe and others; the workforce size is described as 350+ engineers with a high proportion of certified programmers.