AI strategy & consulting
Co-develop adoption-focused AI roadmaps and practical transformation plans for enterprise scalability.
Ask about this →Helps enterprises build practical, scalable AI, data engineering and analytics solutions.
Turns model pilots into dependable live services for complex enterprises, decreasing failed deployments by up to 75%.
Services
Co-develop adoption-focused AI roadmaps and practical transformation plans for enterprise scalability.
Ask about this →Build and integrate generative models into enterprise workflows for practical, scalable use.
Ask about this →Design, fine-tune and integrate LLMs into existing systems for production-ready functionality.
Ask about this →Modernize Databricks platforms and deliver data engineering, demonstrated by a 70% infrastructure cost reduction.
Ask about this →Implement MLOps platforms to streamline the model lifecycle and speed transition from concept to deployment.
Ask about this →Turn unified data platforms into analytics and BI that deliver operational insights and reporting.
Ask about this →Architect integrations between AI, data platforms and enterprise systems to support scalable production.
Ask about this →Prototype production-oriented PoCs that validate models, data pipelines and deployment workflows.
Ask about this →Fit
Cut data costs by 70%.
Case study on addepto.com ↗MLOps consulting
Helps develop high-quality ML models 80% faster.
Case study on addepto.com ↗MLOps consulting
Decreases failed deployments by up to 75%.
Case study on addepto.com ↗Roughly 72% of aviation companies are deploying or piloting AI initiatives.
Case study on addepto.com ↗Delivers 5–15% improvements in equipment uptime.
Case study on addepto.com ↗Can add $4.10 extra profit per passenger.
Case study on addepto.com ↗Known for cutting Databricks infrastructure costs by 70% for a European fashion retailer, Addepto focuses on practical, engineering-first delivery of scalable AI and data platforms. It is hired to turn exploratory models and fragmented data into production systems, unifying complex sources such as aviation and maritime data and implementing MLOps to shorten the path from concept to deployed models.
All sources checked 15 Oct 2026.
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