90+ years of combined industry experience complemented with recent intensive training
in DS and ML topics.



Contemplated in a project by project
basis:
Strategic engagements where we help clients define an AI roadmap that goes beyond pilot projects into enterprise-scale transformation — using agentic AI, real-time inference, and digital workflows.
Designing and deploying intelligent agents for operational workflows — not just chatbots but AI agents that plan, reason, and act (e.g., predictive maintenance agents, automated compliance workflows, HR/ops assistants).
Consulting and blueprinting for AI at the edge — including hardware selection, model optimization, and deployment strategies that operate on local devices, gateways, or industrial equipment.
A structured set of online or hybrid courses designed to train technical professionals on:
AI Workflows / Data Infrastructure / Edge Computing / AI System Monitoring and Maintenance
Advisory services that combine automation, edge inference, and operational strategy to enhance resilience — from cyber-physical threat modeling to AI system fallback plans.
Build dashboards and monitoring systems that track real-time performance, model drift, latency, and business KPIs for AI systems in production.
We have a clear vision for growth, which includes expanding our client base, deepening our partnerships with key players in the energy and manufacturing sectors, and further developing our capabilities in artificial intelligence and automation.

• Assisted project managers in expediting materials and equipment for the ship conversion.
• Using data analytics to search suitable vendors to provide critical equipment.

• Invited to propose a model to assess and evaluate diverse GenAI models.
• First international experience for a company located in Germany.

• Advising an engineering firm to expand operations in the USA market.
• Using data analytics to be more efficient in the target acquisition tasks.
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