AI & LLM Integrations
We securely connect the power of Large Language Models (LLMs) like Gemini and ChatGPT to your private company data, creating intelligent, context-aware tools that truly understand your business.
Examples:
- Internal Knowledge Base Chatbot
- Automated Warehouse Scanning
- Intelligent Document Summarization
Scalable Back-End Architecture
We build robust, secure, and well-documented APIs using Laravel or Node.js, ensuring your application can handle growth and integrate seamlessly with any future tool.
Intuitive Front-End Experiences
We use modern frameworks like Vue.js and TypeScript to create fast, responsive, and user-friendly interfaces that your team will actually enjoy using.
Full CI/CD & DevOps
We implement automated testing and deployment pipelines (CI/CD) using tools like GitLab on agile platforms like DigitalOcean, ensuring reliable, seamless updates.
From Challenge to Solution
You see the power of public AI tools, but they have a critical flaw: they know nothing about your company. You can’t ask them about your internal project data, your sales figures, or your specific technical documentation. Furthermore, you’re rightfully concerned about security—you can’t risk sending your sensitive, proprietary data to a public, third-party model.
We solve this. We specialize in what we call Model Context Protocol (MCP). This is our methodology for building a secure bridge (API) that allows a powerful LLM to access your internal data without ever training on it. We make your private databases, documents, and knowledge bases “consumable” for the AI. The result is an AI assistant that acts as your company expert. You can ask it complex questions (“Summarize our Q3 sales performance in the DACH region”) and get secure, accurate answers based only on your verified, internal information.
Our Approach to AI Integration
AI integration must be precise, secure, and deliver tangible value.
- Discovery: We start by identifying a high-impact, low-risk use case (e.g., an internal knowledge base chatbot) where AI can solve a clear business problem.
- Plan (MCP): We map your internal data sources (databases, document stores) and design the secure API and data-retrieval strategy that will feed context to the model.
- Develop (Do/Check): We build the integration, fine-tune the system prompts, and test relentlessly for accuracy, security, and “hallucinations.”
- Deploy (Act): We roll out the AI tool to a pilot group, gather feedback, and iterate, ensuring the tool is not just technically impressive but genuinely useful.
