TantusData

Legal name: TantusData. General business type: Data engineering and software development firm providing big data, analytics and systems services. Headquarters country: Poland. Regions of operation: Europe, with explicit client activity in Scandinavia and Austria and work for organisations operating across European markets.

Services and Capabilities

• Data engineering: design and delivery of data pipelines, data cleaning, real-time streaming, data storage optimisation and data implementation services for analytics and operational use.
• Data science and machine learning: development of predictive analytics, real-time analytics systems, and automation of routine processes through ML models applied to business data.
• Enterprise software development: application modernisation, API development, cloud application architecture, and system re-engineering to improve information workflows and IT infrastructure.
• Automation and DevOps: DevOps practices, deployment automation, and digital automation to support continuous delivery and operational resilience.
• Consulting and audits: technical audits, optimisation of existing systems, reduction of digital debt, and advisory services to plan and scale data solutions.
• Staff augmentation and team extension: body leasing, team extension and selective outsourcing to supplement client engineering capacity.

Industry Focus

• Retail and e-commerce: work on data and analytics platforms, onboarding and training of engineers, and solutions for personalised recommendations and visual search.
• Telecommunications: data services and engineering support for operational and analytics needs.
• Hospitality and restaurant management: engineering and system delivery for management platforms.
• Accommodation and marketplaces: platform engineering and flexible delivery models to support marketplace infrastructure.
• Manufacturing and inspection: visual data processing for object detection, tracking and automated visual inspection in production or document processing contexts.

Technology and Delivery Approach

• Integration and data platforms: building and optimising data pipelines, standardising storage and enabling real-time data streaming and visualisations.
• Automation and DevOps: use of deployment automation and team-based DevOps practices to support continuous delivery and operational stability.
• Analytics and AI: development and productionisation of predictive analytics and ML models for decision support and process automation.
• Delivery models: combination of consulting, audits, project-based delivery and staff augmentation (body leasing and team extension) to adapt to client needs and provide on-site or remote engineering resources.