AI & Automation.
We automate your business processes with cutting-edge artificial intelligence. From intelligent chatbots and data analysis to fully automated workflows – we make your business more efficient.
Artificial intelligence is not magic, and it is not an end in itself. We deploy it where it delivers concrete value: in customer communication, in data processing, and in automating repetitive tasks. Instead of models that do everything mediocrely, we build solutions that solve one specific problem — production-ready, observable, and without vendor lock-in.
Artificial intelligence is changing the way businesses operate. We help you leverage this technology profitably – pragmatically, reliably, and with measurable results.
Typical Use Cases
Where we typically deploy this service
Intelligent Assistance Systems
Chatbots and voicebots with RAG (Retrieval-Augmented Generation) over your own knowledge base. Answers ground in your documents, not in training-stale hallucinations. Source citations included.
Document and Data Analysis
Automatic classification, summarization, and extraction from PDFs, emails and forms. Cuts manual processing time substantially and turns unstructured sources into structured data.
Workflow Integration into Existing Systems
Embed AI where the work happens: in your CRM, your ticketing system, your accounting. API integration with your existing stack instead of isolated AI islands.
Why techlogia
What sets us apart on this service
On-Premise or DE-Cloud
Choice between local hosting (Ollama, vLLM) and cloud models (Claude, GPT-4) per use case — no data leaves the EU when GDPR demands it.
Measurable and Auditable
Every AI response is logged, token costs are tracked per request, eval suites verify response quality on every model update. No black-box risk.
No Model Lock-in
Architecture separates business logic from model provider. Switching from GPT-4 to Claude or to an open-source model is a config change, not a rewrite.
Technology Stack
Technologies we use to build your solution
FAQ
Answers to the most important questions on this service
It depends on the use case. Classics like customer support bots or document extraction typically pay back within 3–6 months because they directly replace human hours. Complex integrations take longer but deliver strategic value. We calculate this explicitly in the kickoff conversation.
No. For cloud models we use API tiers with an explicit opt-out from training (e.g. Anthropic Workbench, OpenAI Enterprise). For on-premise models, data never leaves your infrastructure in the first place.
Cloud models bill per 1000 tokens — typically 0.01–0.05 EUR per query depending on the model. Local models cost only server electricity. We build in cost estimators and monthly reports so there are no surprises.
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