AI that works while you sleep.

We use GPT-4o and o1 (OpenAI), Claude 3.5 Sonnet and Opus (Anthropic), Gemini 1.5 Pro (Google), and Llama 3.1 or Mistral Large for open-source needs. We build AI agents with persistent memory, tool-use capabilities, function calling, and custom business context via RAG. We do not sell generic chatbots that simply repeat FAQ answers.

n8n is an open-source automation platform (equivalent to Zapier or Make but self-hostable and without execution limits). We connect your CRM, email, WhatsApp Business, online store, accounting (QuickBooks, NetSuite), ERP, and any other tools you use without expensive custom development. A well-designed n8n workflow can save 4-8 hours of manual work per week and eliminate human errors entirely.

Small projects (basic chatbot with RAG over your website, simple n8n automation flow) start at $800 turnkey. Complex agents with CRM integration, persistent memory, and tool-use start at $3,500. Custom platforms (multi-agent, advanced RAG, fine-tuning) are quoted based on scope. We always provide a fixed price, estimated ROI, and a projected payback period of 2-6 months.

No. Everything we deliver includes a 2-hour recorded training session and full documentation in English. The AI works in the background; you see the results in your management panel, email, WhatsApp, CRM, or wherever makes the most sense for your workflow. Daily operations are transparent.

Yes. We use enterprise-grade APIs from OpenAI (Zero Data Retention available) and Anthropic (who do not train on your data by policy). For highly sensitive data (health, legal, financial), we deploy open-source models (Llama 3.1, Mistral, Qwen) on our own servers in the EU or US (Hetzner/AWS) without sending data to third parties. We sign Data Processing Agreements (DPA) with every client. On-premise deployment is available if required.

Yes, we always recommend starting with a specific, measurable use case (e.g., automating lead qualification via WhatsApp or bulk generating product descriptions). The first project usually pays for itself in 2-4 months. Once the ROI is validated, we expand to other business processes, always prioritizing impact versus effort.

A chatbot answers questions (input → output). An AI agent makes decisions and executes actions (plans, uses tools, self-corrects). An n8n workflow is a deterministic flow of steps (if-this-then-that). We combine all three based on your needs: workflows for repetitive tasks, agents for complex decisions, and chatbots as the user interface. We advise you on what you actually need before proposing a solution.

RAG (Retrieval Augmented Generation) is the pattern used to let an AI access your specific information without retraining the model. We index your knowledge base (catalogs, manuals, policies, customer data) in a vector database (Qdrant, Pinecone, pgvector), and the AI queries it in real-time before responding. This is the correct solution when you need the AI to know your business without "hallucinating," avoiding the high cost of fine-tuning.

Yes. We implement AI agents within the WhatsApp Business Platform (Meta Cloud API) that handle inquiries, qualify leads, schedule appointments, and escalate to a human when necessary. These include conversation memory, CRM integration, and personalized responses based on contact history, fully compliant with Meta policies.

Before starting, we set a specific KPI: hours saved per week, qualified leads, resolution rate without human intervention, average ticket value, or response time. We monitor performance in real-time via Langfuse or LangSmith (for agents) and business dashboards. If there is no return after 2-3 months, we adjust or close the project. No fluff.