AI Solutions –
Custom-Built AI Systems That Deliver

We build custom AI solutions across the full spectrum: intelligent document processing systems, conversational AI (chatbots and voice agents), predictive analytics and forecasting engines, AI-powered workflow automation, content generation and management systems, computer vision solutions, recommendation engines, and AI-enhanced search and knowledge management. Each solution is custom-built for your specific requirements, integrated with your tech stack, and designed for production reliability—not just demos.

Off-the-shelf AI solutions (SaaS platforms) offer quick deployment but limited customization—you get 70-80% of what you need but can't optimize for your specific workflows, data, and requirements. Custom AI solutions are built to your exact specifications, trained on your data, and integrated deeply with your systems. They typically deliver 2-3x better performance than generic alternatives. We recommend custom when the use case is core to your business or when off-the-shelf solutions don't adequately address your requirements.

Integration is a core strength. We connect AI solutions to your existing stack through REST APIs, GraphQL, event-driven architectures, database connections, and enterprise middleware. Common integration targets include: ERP systems (SAP, Oracle, Dynamics), CRM platforms (Salesforce, HubSpot), data platforms (Snowflake, BigQuery, Databricks), collaboration tools (Slack, Teams, SharePoint), and custom internal applications. We design solutions that enhance your existing architecture rather than requiring wholesale replacement.

Yes, we build solutions tailored to industry requirements. In financial services: risk scoring, compliance automation, and fraud detection. In healthcare: clinical decision support, patient communication, and administrative automation. In manufacturing: predictive maintenance, quality inspection, and demand forecasting. In retail: recommendation engines, inventory optimization, and customer analytics. While our engineering approach is consistent, each industry solution incorporates domain-specific data models, compliance requirements, and workflow patterns.

We architect every solution for production scale from day one. This means: cloud-native deployment (AWS, Azure, GCP) with auto-scaling capabilities, microservice architecture for independent scaling of components, load-tested to handle 10-100x your current volume, database and caching strategies optimized for your data patterns, and monitoring with automatic alerting when performance degrades. We size infrastructure for your expected growth trajectory and design solutions that scale horizontally without architectural changes.

Security is built into every layer: infrastructure security (encrypted storage, network isolation, access controls), application security (authentication, authorization, input validation), data security (encryption, PII handling, data classification), model security (adversarial testing, output filtering, prompt injection protection), compliance (GDPR, EU AI Act, industry-specific regulations), and operations security (monitoring, logging, incident response). We can deploy within your infrastructure or on dedicated cloud environments for maximum control.

AI solutions require active maintenance to perform well over time. Key maintenance activities include: model monitoring (tracking accuracy, drift, and performance degradation), data pipeline maintenance (handling schema changes, new data sources, quality issues), infrastructure updates (security patches, scaling adjustments, cost optimization), feature enhancements (new capabilities based on user feedback), and compliance updates (regulatory changes, policy updates). We offer SLA-backed maintenance plans ranging from €3,000-€15,000/month.

Custom AI solution pricing depends on complexity: Focused solutions (single use case, limited integrations): €40,000-€80,000. Mid-complexity solutions (multiple features, 2-4 system integrations): €80,000-€200,000. Enterprise solutions (complex logic, many integrations, high scalability): €200,000-€500,000+. We typically structure pricing as: 30% discovery and design, 50% development and integration, 20% testing and deployment. Ongoing maintenance runs 15-25% of initial development cost annually.

Timelines depend on scope: Simple solutions (chatbot, document processor): 6-10 weeks. Standard solutions (multi-feature with integrations): 10-16 weeks. Complex solutions (enterprise-grade with multiple systems): 16-24 weeks. We use agile delivery with 2-week sprints, so you see working software every two weeks—not a big-bang delivery at the end. This allows us to incorporate feedback early and ensure the final solution meets your actual needs, not just the initial specification.

Start with a Solution Discovery session (1-2 weeks, €5,000-€10,000) where we: understand your business requirements and pain points, assess your data landscape and technical environment, evaluate build vs. buy options, design a solution architecture, estimate timeline and budget, and produce a detailed project proposal. This gives you everything needed for a confident go/no-go decision. If you proceed, the discovery fee is credited against the project budget.