thinformatics
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Services
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Services
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Services
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We build AI assistants and chatbots grounded in your own knowledge that answer in natural language. Employees and customers get fitting answers around the clock, without long searches.
We build assistants and chatbots that draw on your own knowledge and deliver understandable answers {{around the clock}}.
We determine which questions an assistant should answer reliably and sensibly.
Use case scoping, intents, user groups, guardrails, escalation paths, success criteria
The assistant answers on the basis of your own curated company knowledge.
RAG, embeddings, vector search, chunking, source citations, access filters
Natural language, understandable answers and fitting follow-up questions shape every conversation.
System prompts, conversation context, few-shot, tone of voice, fallback answers, hallucination guards
The assistant is reachable where your people already work.
Microsoft Teams, web widget, REST APIs, SSO, Bot Framework, webhooks
Access rights and data protection determine which content the assistant shows.
Permissions, data classification, EU hosting, prompt filters, audit logs, GDPR groundwork
We measure answer quality and keep improving the assistant continuously.
Feedback loops, evaluations, conversation analytics, prompt tuning, knowledge updates, monitoring
We determine which questions the assistant answers.
We define usage scenarios, intents and user groups and settle guardrails and escalation paths. Success criteria bound the assistant's subject area.
You receive a staked-out frame that sets expectations and limits. The defined scenarios determine which knowledge the assistant needs.
The assistant answers from your curated knowledge.
We open up your approved sources through RAG with embeddings, vector search and chunking. Access filters and source citations tie answers to your current content.
The assistant delivers answers you can back with sources from your own knowledge. On this basis the quality of the dialogues is shaped.
Understandable answers and fitting follow-up questions shape conversations.
We shape system prompts, conversation context and tone of voice and work with few-shot examples and fallback answers. Hallucination guards deliberately bound topics outside the knowledge base.
Users get understandable, dependable answers in the right tone. The proven dialogue is then brought into the channels people use.
The assistant is reachable where people work.
We make the assistant available in existing channels such as Microsoft Teams and a web widget and connect it through REST APIs and SSO. Your existing permission concepts remain decisive.
Employees and customers reach the assistant in the tools they know. The live assistant is then measured and improved in operation.
We measure answer quality and keep improving continuously.
We evaluate conversations and follow-up questions through feedback loops, evaluations and analytics and keep the knowledge sources tended. Prompt tuning and monitoring secure quality and availability in operation.
You receive an assistant available around the clock whose hit rate keeps rising. From the evaluations the assistant grows with new requirements.
The assistant answers from your own sources.
Employees and customers get answers at any time.
Questions are asked and answered in plain language.
Answers are tied to sources and stay traceable.
Access control, data protection and guardrails are built in.
Feedback and knowledge upkeep improve the answers continuously.
Answers to the questions we are asked most often about AI assistants built on a company's own knowledge.
We talk about the subject area, knowledge base and behaviour of your assistant.
