AI and machine learning that solves real business problems
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.
Trusted by Europe’s
leading organizations
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.
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Let the numbers speak for DNA Solutions
We tailor technology to your business goals. Our enterprise clients trust us to cut operational costs, boost efficiency, and strengthen infrastructure resilience through smart engineering.
Annual savings for one client
By optimizing Oracle licensing for a major European organization, we delivered over €1M in yearly cost savings.
Daily invoices processed
We built and maintain a Deloitte-audited billing platform processing €300M in transactions every month.
Engineers & Consultants
Our experience spans the design of mission-critical systems for Oracle and telecoms across India, Dubai, and Europe.
Average client relationship
T-Systems, Sattelic, European Commission... our longest clients keep coming back because we deliver, not because we lock them in.
AI that works because the foundation is right
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.
Production AI, not proof-of-concept AI
We build AI solutions that run in production environments, integrated with your existing Oracle, SAP, or custom platforms, predictive maintenance, intelligent document processing, anomaly detection, demand forecasting, all connected to the systems your business actually runs on. Every AI engagement includes the data engineering work that most consultancies skip: cleaning, structuring, and connecting your data sources so the models have something real to learn from.
Our AI and machine learning services
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. Whether you need batch processing for nightly reports or real-time streaming for operational decisions, we build infrastructure that grows with your ambitions.
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.
We don't build models in isolation. Every predictive solution is validated against your actual business metrics, not abstract accuracy scores. If a demand forecast doesn't improve purchasing decisions, or a maintenance prediction doesn't reduce downtime, we adjust until it does. 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.
Our document processing solutions handle the messy reality of enterprise documents: inconsistent formats, handwritten annotations, multi-language content, and PDF scans of varying quality. 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.
Legacy systems contain decades of valuable business data locked in proprietary formats. Our integration layer extracts, transforms, and feeds this data to AI models without modifying the source systems. The AI predictions flow back as actionable insights, alerts in your existing dashboards, automated triggers in your workflows, or enriched records in your ERP. Your team works in familiar tools while benefiting from intelligent automation behind the scenes.
Questions about AI for your business?
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. The same infrastructure expertise that lets us maintain billing platforms processing €300M monthly is what makes our AI integrations reliable in production.
We start every AI engagement with a data audit, it's a non-negotiable step at DNA Solutions. 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. Our data engineering team cleans, structures, and connects your data sources properly, we've built successful predictive models from data that clients considered too messy to use.
At DNA Solutions, 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, if the POC results aren't convincing, we know before you've committed to full deployment. This pragmatic approach is the same methodology behind every DNA Solutions project.
Every DNA Solutions AI deployment includes monitoring and automated retraining pipelines. Model performance is tracked against your actual business KPIs, not abstract accuracy scores, with alerts when accuracy drifts beyond acceptable thresholds. Data patterns always change, and our monitoring infrastructure detects these shifts automatically and triggers retraining. It's the same operational rigor we apply to the enterprise systems we maintain.