We integrate AI and machine learning into your existing enterprise infrastructure to automate processes, predict outcomes, and optimize operations — from intelligent document processing and predictive maintenance to demand forecasting. Production-grade AI solutions built on your actual data, connected to your Oracle, SAP, or custom platforms, designed for measurable business impact.
In tech, true autonomy strengthens bonds. By transferring knowledge and best practices, we enable independence while forging long-term partnerships, earning the trust of Europe's premier organizations.
Most AI projects fail not because the models are wrong, but because the data infrastructure underneath them is broken — inconsistent data, siloed systems, batch pipelines that run 12 hours behind reality. DNA Solutions fixes the foundation first, then builds AI on top. That engineering-first approach is what separates production AI from proof-of-concept AI, drawing on 20 years of building enterprise data pipelines.
From data infrastructure to production ML models, we cover the full AI value chain — always starting with the data foundation.
Data pipelines that clean, structure, and deliver your data in real time. We build the infrastructure that makes AI operational: ETL processes, data lakes, streaming pipelines, and quality monitoring.
Good AI starts with good data engineering. We design pipelines that handle schema changes gracefully, detect data quality issues before they reach your models, and scale from gigabytes to terabytes without architectural changes.
Machine learning models that forecast demand, predict maintenance needs, and detect anomalies before they impact operations. Built on your historical data, validated against your business KPIs.
Every predictive solution is validated against your actual business metrics, not abstract accuracy scores. Our models run in production with automated monitoring so you know exactly when they're performing and when they need retraining.
AI-powered extraction and classification of invoices, contracts, and correspondence. We build pipelines that read, categorize, and route documents, reducing manual processing by 80% or more.
We combine OCR, NLP, and custom classification models trained on your specific document types. The system learns from corrections, improving accuracy over time without manual model updates.
API layers and data connectors that bring AI capabilities to your existing Oracle, SAP, or custom platforms. Predictive analytics and automation layered on top of systems that keep running unchanged.
Our integration layer extracts, transforms, and feeds legacy data to AI models without modifying source systems. AI predictions flow back as actionable insights in your existing dashboards and workflows.
AI investment decisions require clarity on what's realistic, what's hype, and what delivers ROI.
No, and at DNA Solutions, that's our standard approach. AI capabilities are layered on top of your existing Oracle, SAP, or custom platforms via API layers and data pipelines. We've integrated predictive analytics into enterprise systems running for 15+ years without modifying the source code.
We start every AI engagement with a data audit. We assess quality, availability, and structure before building any model. Many clients are surprised to learn they already have enough data; the issue is usually accessibility, not volume.
Initial proof of concept typically takes 6-8 weeks using a subset of your real data. Production deployment follows in 2-4 months depending on integration complexity. We deliver incrementally so you see value early.
Every DNA Solutions AI deployment includes monitoring and automated retraining pipelines. Model performance is tracked against your actual business KPIs, with alerts when accuracy drifts beyond acceptable thresholds.