Data & AI Platform

The data infrastructure that makes AI in production possible

Modern data architectures (data lakes, feature stores, MLOps) that allow deploying, monitoring and retraining AI models in production reliably, scalably and at low cost.

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Overview

Data & AI Platform

Without a solid data platform, AI doesn't reach production. We design and implement the complete infrastructure: from data ingestion to model deployment, including monitoring, automatic retraining and regulatory explainability. All integrated with your existing systems (CRM, ERP, data warehouse).

Included capabilities

Data lake / lakehouse architecture (Delta Lake, Apache Iceberg)
Feature store for feature reuse across models
MLOps: model CI/CD, versioning, A/B testing and rollback
Data drift and model drift monitoring with automatic alerts
CRM/ERP integration (Salesforce, Zoho, SAP, Dynamics)
Real-time AI dashboards with live KPIs
Multi-tenant SaaS platforms with embedded AI and data isolation
Model auditing and explainability (XAI) for regulatory compliance

Return on investment

Measurable results from the first cycle

−60%
Analysis time reduction
3–10x
Models in production
< €10
Cost per tenant
100%
Traceability

Time to first result: 8–12 weeks to production platform
Estimated investment: From €10,000 implementation + cloud infrastructure

Use cases

Real applications by sector

Each case starts from a concrete operational pain and delivers a measurable result.

Mid-size company
Corporate Data Lake with Embedded AI
Problem: Data scattered across 12 different systems, no unified view or analytical capability
Solution: Centralized data lake with automatic ingestion, feature store and 3 AI models in production
- 12 integrated sources
- 3 models in production
- −60% analysis time
B2B SaaS
Multi-tenant Platform with Per-Client AI
Problem: Need to offer personalized AI to each client without multiplying infrastructure costs
Solution: Multi-tenant architecture with data isolation, shared feature store and per-tenant models
- New client onboarding < 1 day
- AI cost per tenant < €10/month
- 100% data isolation
Regulated (Banking/Health)
MLOps with Regulatory Explainability
Problem: AI models in production without traceability, explainability or regulatory compliance
Solution: MLOps platform with SHAP/LIME, complete audit trail and automatic reporting for regulators
- 100% decision traceability
- GDPR/AI Act compliance
- Automatic audit trail