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IT Services · Artificial intelligence

Artificial intelligence that earns you money, not just OpenAI bills

We build AI agents that handle real tasks (email classification, invoice sorting, draft proposal generation, tier 1 support responses), chatbots integrated with your CRM and database via RAG, private AI servers with Llama 3, Mistral or Qwen running on your own infrastructure · zero data sent to OpenAI. Stack: LangChain, LangGraph, Ollama, vLLM, Qdrant. From AI strategy audit to production deploy with monitoring, fine-tuning and MLOps.

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WHY US

Four reasons AI with us brings ROI, not costs

Artificial intelligence without strategy is just API bills. Heres how we extract real value.

  • 01

    AI agents that do real tasks, not just respond

    We build AI agents that execute: automatic email classification, PDF invoice sorting and data extraction, draft proposal generation, tier 1 support ticket responses, ecommerce product description writing, CV screening on defined criteria. They work 24/7 and scale without fatigue errors.

  • 02

    Private self-hosted AI servers · zero data to OpenAI

    For sensitive data we run Llama 3, Mistral, Qwen 2.5 or DeepSeek on your infrastructure with Ollama, vLLM or LM Studio. Hardware NVIDIA RTX A6000, L40S or H100, depending on scale. GDPR, NIS2, AI Act 2026, HIPAA compliance. Public sector and companies with strict confidentiality.

  • 03

    RAG, multi-modal and CRM/ERP integrations

    Orchestration with LangChain, LangGraph, LlamaIndex. Vector DB with Qdrant, Pinecone or Weaviate for semantic search on your documents. Multi-modal: vision with Stable Diffusion and Flux, voice with Whisper (transcription) and ElevenLabs (synthesis), text with GPT-5, Claude Opus, Gemini. Connect to CRM, ERP, Google Workspace, Slack, helpdesk, intranet.

  • 04

    Tracked ROI, dashboard with costs and performance

    We define clear metrics from start: time saved per task, tickets deflected, cost per lead, response quality. Dashboard with token costs (LangSmith, Helicone, Langfuse) and A/B testing between models. Our clients reduce operational costs 25-45% in the first 6 months.

REQUEST FREE AI AUDIT

Want to know exactly where AI brings ROI in your company?

Free AI strategy audit · we identify 3-5 processes in sales, support, ops, marketing or HR where artificial intelligence can save time and money. Concrete plan with pricing, recommended stack and ROI estimate in 5 business days.

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PROCESS

From audit to AI in production in 30-90 days

We work on real use-cases with measurable metrics, not buzz. 5 stages with clear deliverables.

  1. AI audit and roadmap (5-10 days)

    Activities
    • Internal process analysis (sales, support, ops, marketing, HR, legal)
    • AI candidate identification: whats repetitive, standardizable, measurable
    • Estimated ROI per use-case and prioritization of quick wins vs long-term
    • Stack recommendation: cloud API (OpenAI, Anthropic, Google) vs self-hosted LLM

  2. Pilot concept and POC (10-20 days)

    Activities
    • Select use-case with high ROI and low risk for functional demo
    • Setup technology: GPT-5 API, Claude API or self-hosted Llama 3
    • Define success metrics and baseline vs manual process
    • Demo with internal users in 2-3 weeks

  3. AI agent or chatbot development (3-8 weeks)

    Activities
    • Optimal prompt engineering and guardrails against hallucinations
    • RAG integration with Qdrant or Pinecone on your knowledge base
    • Tool setup: semantic search, DB query, API calls, PDF/email generation
    • Integration with CRM, ERP, Google Workspace, Slack, helpdesk

  4. Testing, validation and compliance (2-4 weeks)

    Activities
    • Real user testing in shadow mode over existing process
    • Performance comparison vs manual with A/B testing where relevant
    • Iterations based on your teams feedback
    • EU AI Act documentation and model cards for high-risk systems

  5. Production, monitoring and scaling (continuous)

    Activities
    • Deploy with monitoring (LangSmith, Helicone, Langfuse, Grafana)
    • Private self-hosted AI server if strict confidentiality required
    • Fine-tuning on your data for better results
    • MLOps pipeline for periodic retrain and continuous evaluation
FAQ

Answers to common artificial intelligence questions

Still have questions? Write to us directly

  • How much does AI implementation cost in my company?
    Website chatbot with RAG (pilot): 3500-9000 EUR setup + 250-900 EUR/month (API + admin). Complex AI agent with multi-tool and CRM/ERP integrations: 12000-60000 EUR. Private self-hosted AI server (hardware + software + deploy): 18000-70000 EUR, depending on GPU (RTX A6000 ~5500 EUR, L40S ~8500 EUR, H100 ~28000-35000 EUR). Initial AI strategy audit: free.
  • Whats the difference between chatbot, AI agent and copilot?
    Chatbot answers questions using prompts and knowledge base via RAG. AI agent executes tasks autonomously: call API, query DB, write email, schedule meeting, make decisions based on context. Copilot is an assistant that augments a human (real-time suggestions, NOT autonomous). For clear ROI on repetitive processes, AI agents give the best return.
  • Does my data go to OpenAI, Anthropic or Google?
    Depends on stack. Business tier API (ChatGPT Enterprise, Claude for Work, Gemini Workspace): data is NOT used for training, clear contract with signed DPA. For super-sensitive data (legal, medical, financial, public sector, contracts): we recommend private self-hosted AI server with Llama 3, Mistral, Qwen 2.5 or DeepSeek on your infrastructure · zero data outside, GDPR, NIS2, AI Act compliant.
  • Which LLM is best for my business?
    GPT-5 (OpenAI): default for complexity, native multi-modal, most capable on reasoning. Claude Opus 4.x (Anthropic): best at analysis, long writing, code, "safer" responses. Gemini 2.x (Google): good at vision and Workspace integration. Llama 3 / Mistral Large / Qwen 2.5 / DeepSeek: self-hosted, free after hardware, ideal for confidentiality. Exact recommendation in audit.
  • EU AI Act · what does it mean for my business in 2026?
    Regulation enters force in stages 2026-2027 and classifies AI systems by risk level. Chatbots and generative AI for content: mandatory transparency (user knows they talk to AI). AI for recruitment, credit scoring or medical decisions: high-risk · documentation, audit and model cards mandatory. We help with compliance: technical documentation, audit trail, risk evaluation.
  • Will AI replace my employees?
    No. AI eliminates repetitive and boring tasks so employees can focus on what matters: customer relationships, strategic decisions, creativity. Our clients report 30-60% productivity increases and 15-25 hours saved/week per team, NOT layoffs. AI implementation is partnership with the team, not replacement.
  • Concrete use-cases youve implemented?
    AI sales: agent that qualifies leads and generates personalized draft proposals (B2B SaaS, +35% qualified pipeline). AI customer service: multi-channel chatbot (email + chat + WhatsApp) with 60% deflection rate on tier 1. AI HR: agent that screens CVs and answers candidate FAQs. AI marketing: ecommerce product descriptions + image variations with Flux. AI legal: semantic search in contract archive with RAG and Qdrant.
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