Addepto

Addepto starts by identifying a client's bottlenecks, goals, capabilities, and data needs. It then develops solutions designed to work with the client's existing software and help improve operational performance, reduce costs, minimize risks, and increase business outcomes.

The company operates globally and is part of KMS Technology. Its team includes 65+ AI experts, belongs to a group of more than 1,200 digital experts, and has completed 100+ projects across 10+ industries.

Contact

• Warsaw, Poland
• hi@addepto.com

• AI Consulting: Developing AI strategies, identifying high-impact opportunities, and planning implementation.
• Generative AI Development: Adapting generative AI models to address specific business challenges.
• ContextClue: A generative-AI product for automated text analysis, template-based document creation, information retrieval, semantic search, and automated summarization.
• Computer Vision Solutions: Applying AI to visual data and automating visual tasks.
• Data Engineering Services: Building data pipelines and infrastructure that transform raw data into actionable insights.
• MLOps: Managing the machine learning lifecycle from development through deployment, with an emphasis on reliable and scalable solutions.
• Machine Learning and Deep Learning: Developing solutions that identify patterns, support predictive analysis, improve customer satisfaction, increase sales, reduce manual work, and mitigate risks.
• Data Platform Building: Using technologies and approaches such as streaming applications, data lakes, Delta Lakes, big data processing, and data integration to support data-driven decisions.

Addepto guides clients from selecting appropriate technologies through building solutions and implementing them in existing infrastructure.

Addepto delivers partially ready or tailor-made data solutions designed around a client's business requirements, timeframe, and budget. This model is intended to reduce the risk associated with large-scale projects.

Collaborative model

Addepto's team works together with the client's team to build a solution aligned with business goals and in-house needs. Close collaboration helps avoid generic solutions, narrow knowledge gaps, and address potential biases.

Managed and delivery services

Under this model, Addepto takes responsibility for the client's AI or data management system. This includes requirements management, engineering, testing, and operations, resulting in a ready-to-use product.

Flexible approach

Addepto also offers a more customized cooperation model when the standard approaches do not fit a client's needs.

• Aviation: Digital twins for predictive maintenance, computer vision for baggage handling and security, and AI analytics for passenger services and operational efficiency.
• Venture capital and private equity: Predictive analytics for market forecasting, natural language processing for due diligence automation, portfolio optimization using real-time data, and sentiment analysis.
• Finance and insurance: Fraud detection, predictive risk assessment for underwriting, customer segmentation, personalized offerings, document processing, and knowledge management. Solutions include data security and regulatory-compliant measures.
• Manufacturing: Predictive maintenance, real-time defect detection, production scheduling, inventory management, and energy consumption analysis.
• Retail: Product recommendations, visual search, chatbot-based customer support, predictive inventory management, and computer vision for in-store analytics.
• Logistics: Route optimization, demand forecasting, inventory management, AI and robotics for warehousing, and computer vision for barcode reading, stock-location detection, and environmental monitoring.

Addepto states that it can discuss solutions for industries beyond those listed.

The work included continuous telemetry pipelines, optimized Snowflake data models and materialized views, an LLM-powered interface for translating questions into Snowflake queries, anomaly detection and alerting, and migration from Tableau to Power BI. The resulting platform provided near-real-time visibility, sub-second query responses, proactive vehicle-issue detection, and a shared data foundation for dashboards and AI services.

Retail image-quality detection

For Teezily, a global French-based eCommerce company, Addepto developed a computer vision engine to detect poor-quality user-uploaded images, including blurriness, poor cropping, and distortion.

The solution used a VGG convolutional neural network trained on real images from the platform, combined with predefined quality-control rules. It was delivered as a software module ready to integrate with the eCommerce backend for real-time image validation.

Other documented work

Addepto's customer stories also include an incremental AWS migration for an eCommerce platform, an MLOps project that moved an AI algorithm into a production-ready environment, and an agentic RAG solution for enterprise knowledge bases.