VX operates across the full chain — combining data science, engineering, and strategic vision to turn AI into a permanent operational capability.
Machine learning models that learn from historical data to predict behaviors and support operational decisions with growing precision — churn, fraud, pricing, predictive maintenance. Mature, proven, and with measurable ROI.
Models that create content, summarize documents, and automate workflows that previously relied on human interpretation. Successful implementations combine Generative AI with proprietary data via RAG, ensuring contextualized responses without exposing sensitive information.
Systems that don't just respond — they plan, execute, and coordinate to complete complex tasks autonomously. Protocols like MCP and A2A define how agents connect to tools, data, and each other. VX is actively working on this evolution in ongoing projects.
The main blocker for AI adoption is rarely the technology — it's risk. Data exposed to external models. Automated decisions without audit trails. Vendor dependency with no exit strategy.
"AI without governance is risk. With governance, it's a defensible competitive advantage."
Data Architecture
Access control and traceability from the start — not as an added layer.
Clear Policies
Defining which data can leave the organization, under what conditions, and with what protections.
Continuous Monitoring
Production models monitored to detect drift, bias, and performance degradation. For sensitive data: on-premise or private cloud.
We operate across the full spectrum — from data foundations to the frontier of Agentic AI.
Data Engineering & Architecture
Reliable data structures with no technical debt accumulation — the foundation for everything that follows.
Data Science & Machine Learning with MLOps
Predictive and prescriptive models that operate sustainably in production.
Generative AI
RAG, fine-tuning, and leading model APIs — grounded in the client's proprietary data.
Agentic AI
Multi-agent systems with MCP and A2A, connected to legacy systems, ERPs, and CRMs.
AI that truly transforms requires a vision that spans the entire organization — from strategic positioning to infrastructure, processes, and people.
From raw data to autonomous agents in production — we cover the full data and AI value chain.
Robust pipelines, data lakes, lakehouses, and warehouses with governance and traceability — reliable structures that don't accumulate technical debt.
Predictive and prescriptive models with integrated MLOps, so they operate sustainably in production with continuous monitoring and retraining.
RAG, fine-tuning, and integration via leading model APIs — always grounded in the client's proprietary data for maximum relevance and security.
Multi-agent systems with MCP and A2A protocols that plan, execute, and coordinate autonomously — connected to ERPs, CRMs, and legacy systems.
Architecture with access control, policies on external data, and continuous monitoring of production models to detect drift, bias, and degradation.
Natural language processing for classification, sentiment analysis, entity extraction, summarization, and understanding of unstructured documents.
Detection, classification, and analysis of images and video with models trained for quality inspection, identification, and visual monitoring.
Dashboards, automated reports, and decision-making tools that translate analyses into accessible products for all organizational levels.
Exploratory analysis, predictive models, and visualizations that turn raw data into actionable insights for strategic decisions.
Decentralized architecture that treats data as a product — distributing responsibility across domains with scalability and cross-team governance.
The possibilities for AI application are vast. Our specialties apply to virtually every relevant segment of today's world.
Get in touch to discover how our custom software solutions can digitally transform your business.
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