Custom AI Implementation, Machine Learning Consulting and Generative AI Solutions to Optimize Your Business Processes
Wir entscheiden je Use Case, welcher Modus wirtschaftlich und technisch sinnvoll ist - es gibt nicht das eine "richtige" Tool.
Wann? Bei individuellen KI-Plattformen, eigenen Multi-Agent-Systemen, anspruchsvollen Datenmodellen oder strikten DSGVO-Anforderungen.
Stack: TypeScript, Vue, Angular, NestJS, PostgreSQL, pgvector, Java, Python (für ML-Komponenten).
Zeitrahmen: 8-24 Wochen je Komplexität.
Wann? Bei klaren Prozess-Integrationen, schnellen MVPs für Workflows, Datenabgleich zwischen bestehenden Systemen.
Stack: n8n, Custom n8n Nodes (TypeScript), Webhooks, REST APIs, integriert mit GPT-4 / Claude.
Zeitrahmen: 2-8 Wochen.
Wann? Wenn n8n als Orchestrator schnell und wartbar ist, einzelne Komponenten aber individuell entwickelt werden müssen (z.B. komplexe RAG-Pipeline, eigenes UI).
Stack: Beste-Welten-Kombi aus 1+2.
Zeitrahmen: 4-16 Wochen.
We develop AI solutions for mid-sized companies and enterprises that solve real problems - not demos, but production systems. Our AI experts bring years of experience with AI automation, n8n workflows, LLMs, and GDPR-compliant architecture. Over 18 AI projects in production - embedded in 100+ digital projects and 5,000+ person-days of experience since August 2015. The Elasticbrains brand has been continuously active since its founding, with focus areas including multi-agent systems, RAG, NLP Development, Voice AI, Document AI and Custom AI Development - from classical Machine Learning Consulting to Generative AI Solutions.
We use n8n as the central platform for AI workflows. From document processing to chat agents to content generation - everything visually orchestrated and maintainable. No black box, full control.
Multi-provider architectures with fallback strategies. GPT-4 for complex tasks, Claude for long documents, Azure OpenAI for enterprise compliance. We choose the right model for your use case.
Our approach: GLiNER detects personal data locally and removes it permanently - before any LLM call. No masking with re-substitution, but genuine anonymization. The AI knows that PII was detected and responds intelligently.
Real-time speech processing with Speech-to-Text (Whisper, Azure Speech, Deepgram) and natural speech output. From hotline automation to sales training with simulated customer conversations.
Automatic document processing: classification, data extraction, summarization. Legal files, insurance documents, invoices - we make unstructured data usable.
Many AI solutions only temporarily mask personal data and substitute it back after LLM processing. This is risky - the data is still transmitted, just obscured.
Our approach is different:
Result: No personal data ever leaves your server. 100% GDPR-compliant, without functional limitations.
More about GDPR-compliant AI →Automatic classification and data extraction from court documents. n8n + GPT-4 + OCR.
24/7 availability for debt collection hotline. Speech AI with natural conversation flow.
Automated summarization of complex lawsuits and expert opinions.
Work instructions → SCORM modules + quizzes. Fully automated via n8n workflow.
Chatbot for career seekers with access to 10,000+ job profiles.
Voice AI for sales training with 20 simulated customer types. Real-time coaching.
Optimize your processes and reduce manual work steps through intelligent automation.
Stay at the forefront of your industry with innovative AI solutions and open up new markets.
Improve the customer experience through personalized interactions and faster service.
Make informed business decisions based on intelligent data analysis and forecasting models.
Ready-made platforms (ChatGPT, Copilot, etc.) cover generic use cases. Custom AI Development pays off when your processes require specific data sources, GDPR requirements, or integrations into existing systems. Typical indicators: proprietary data, regulated industries, or when you want AI solutions that remain permanently under your control.
Machine Learning (ML) uses structured training data to recognize patterns and make predictions - for example for classification, anomaly detection, or forecasting. Generative AI (GenAI) creates new content based on large language models (LLMs): texts, code, summaries. In practice, we combine both: ML components for data preprocessing, GenAI applications for output - depending on the use case.
Contact us for a non-binding consultation.