Beyond Simple Chat Widgets
Cognivox Labs designs LLM-based assistants that reliably answer questions based on your content, automate routine requests, and integrate with your systems. We combine retrieval-augmented generation (RAG), prompt engineering, and strong guardrails so your assistant is helpful, traceable, and safe to run in production.
Intelligent Support
Resolve repetitive support questions with human-like responses and instant access to your latest documentation.
Domain-Aware Answers
Use RAG pipelines to make sure responses are grounded in approved content, with citations where needed.
Integrated Workflows
Connect your assistant to CRMs, ticket systems, or internal tools to create tickets, update data, and trigger actions.
Where Our Chatbots Deliver Value
We focus on use cases where AI assistance directly reduces workload, increases conversion, or improves internal efficiency.
Human in the Loop by Design
We never treat AI as a black box. Your chatbot can escalate to humans, log interactions, and provide transparency over what it answered and why.
Capabilities of Our LLM-Based Assistants
Tech Stack & Architecture
We architect AI assistants with proven tools and patterns — making it easy to maintain, audit, and evolve your solution over time.
Retrieval-augmented generation (RAG) pipelines so the model uses your verified knowledge base.
Access control, logging, and configurable guardrails for compliance and brand safety.
Multi-language capabilities — ideal for German/English and international audiences.
Our Implementation Process
01. Strategy & Use-Case Definition
We identify where AI assistance creates real value: support, sales, internal helpdesk, or automation.
02. Knowledge & Data Design
We structure your content, documents, and APIs for retrieval-augmented generation (RAG) with quality control.
03. Conversation & UX Design
Designing flows, personas, and tone of voice so the chatbot feels aligned with your brand and users.
04. Implementation & Integration
We build the LLM backend, guardrails, and UI widget, integrate with your systems, and set up logging.
05. Evaluation & Fine-Tuning
Using real conversations, we refine prompts, retrieval, and flows to improve accuracy and usefulness.
06. Monitoring & Continuous Improvement
We provide ongoing updates, new skills, security patches, and performance reports.
Why Build Your Chatbot with Cognivox Labs
Deep hands-on experience with RAG, semantic search, and reranking from real-world projects.
Focus on factual, safe, and controllable chatbots — not just ‘playground’ demos.
Flexible model choice: OpenAI, Claude, or open-source models based on your compliance and budget.
Transparent implementation with documentation, monitoring, and exportable data.
Built in Germany with attention to GDPR, privacy, and enterprise requirements.
Measurable Impact, Not Hype
We track deflection rate, resolution time, and satisfaction instead of just counting conversations. Your assistant is tuned to business goals.
Ideal for startups and SMEs who want a serious AI partner that understands both technology and operations.