Addepto

Addepto is an AI development and machine learning services company that provides bespoke artificial intelligence and data solutions. The organisation operates as a technology services firm focused on designing, building and deploying AI-driven systems for enterprise clients. Headquarters country: Poland. Project work and client references indicate activity across Europe and with globally operating customers.

Services and Capabilities

• AI consulting and strategy — assessment of AI opportunities, scoping of projects and roadmaps for implementation.
• Generative AI development — implementation of generative models and integrations that produce or summarise text and generate or interpret visual content; includes use of external APIs such as OpenAI for text summarization.
• Computer vision systems — development of visual analysis engines for image quality detection and automated visual inspection integrated into eCommerce and retail platforms.
• Data engineering and data platforms — construction of data pipelines, data lakes/delta lakes and streaming applications to transform raw data into analytics-ready stores.
• MLOps and production deployment — microservice-based model packaging, CI/CD for models, monitoring and scaling of ML workloads, and incremental cloud migrations (for example, to AWS).
• Document analysis and knowledge management products — development of automated document processing, semantic search, information retrieval and template-based document generation (offered as ContextClue).

Industry Focus

• Aviation — solutions for passenger experience, customer service automation with generative AI and facial recognition support for security workflows.
• Retail and eCommerce — computer vision for image quality detection, visual search, product recommendations and automation of content moderation.
• Logistics and parcel delivery — demand forecasting, route and dispatch optimisation, and analytics to improve warehouse operations.
• Finance and insurance — machine learning for risk assessment, fraud detection, underwriting automation and document processing.
• Manufacturing — predictive maintenance, real-time quality control using sensor and image data, production optimisation and energy consumption analysis.
• Private equity and venture capital — predictive analytics, due diligence automation using natural language processing and portfolio data analysis.

Technology and Delivery Approach

• Integration with cloud platforms — incremental cloud migrations and deployment of services and microservices on cloud infrastructure (example: AWS).
• Data platform and pipeline development — construction of data lakes, streaming pipelines and ETL/ELT processes to enable downstream analytics and ML.
• Microservice and MLOps practices — packaging models as services, CI/CD for model lifecycle, monitoring, fault tolerance and scalable job processing.
• Applied AI methods — use of computer vision, deep learning, generative models and NLP techniques (including OCR and summarization) tailored to client workflows.
• Productised components — delivery of a document analysis and knowledge retrieval product (ContextClue) and other reusable system components for information retrieval and template-based document creation.