Services
AI engineering that runs in production.
We develop AI systems within your Django application and run models on your own hardware. The same team handles development and operation.
Core · AI engineering
On-Premise LLM, RAG und Agenten — in Ihre Anwendung integriert.
Llama 3.1, Mistral or DeepSeek on your own hardware. RAG with data sovereignty. Agents that talk to your Django or PostgreSQL database. No generic cloud service, no processing in third countries. EU AI Act-compliant classification included.
AI solutions
Custom LLM integration, RAG systems, AI agents. Cloud API or on-premise. Fixed price after a free 30-minute initial consultation.
View AI solutions →Industry Solutions
Pre-built use cases for clinics, law firms, industry. AI Act risk classification included.
Discover industry solutions →Engineering notes
Architecture decisions, benchmarks and patterns from real production deployments. How we build, measured and documented.
Lesen →Foundation · Software Engineering
Django at the core — even where AI grows in later.
We build production Python/Django applications: multi-tenant SaaS, REST APIs, custom admin interfaces. Architecture and AI-readiness audits for existing systems. The foundation our AI workloads run on.
Django Apps & APIs
Scalable Python web applications, multi-tenant SaaS, REST/GraphQL APIs, Postgres + Celery. Production-grade from day one.
View Django services →Architecture & AI Audit
Existing architecture under the microscope — scalability, security, AI readiness, GDPR. Written roadmap at a fixed price.
To the architecture audit →Frequently Asked Questions
Before the first call — the answers we give most often.
Most start with an AI strategy audit: we assess your use cases, classify them under the EU AI Act and recommend an architecture (agent, RAG, on-premise). The software foundation — Django, APIs, architecture — we build or harden wherever the AI needs it.
Both — deliberately. Our AI systems live in Django applications we built ourselves. We're not an AI pure-play vendor, we're an engineering team embedding AI workloads into production software. That interlocking is what makes the difference in production stability.
Yes. Llama 3.1, Mistral or DeepSeek on your own GPU hardware (RTX 4090, L40S, H100), vLLM or Ollama as the inference layer, pgvector for RAG. Fully cloud-free — relevant for clinics, law firms, agencies and industrial compliance. Setup, maintenance and tuning from one vendor.
At /engineering/ we publish notes from real production deployments: RAG evaluation, Llama inference on L40S, pgvector patterns. Updated with every new live system. If you're working on a similar architecture, it's the fastest way to know how we think.
Leistungen · KI-Engineering · ein Team
Ein Erstgespräch, ein klarer nächster Schritt.
30 minutes on the phone. We listen, honestly assess whether AI can bring a return for your business and prepare a written fixed-price quote. Clear fixed prices, no vague roadmaps.