AI
AI Development
Custom AI integrations and intelligent products built for your business. From chatbots and automation pipelines to LLM-powered tools and data-driven solutions.
We build AI solutions for businesses - chatbots, process automation, RAG systems, and language model integrations. Practical, not just impressive.
We work with Claude, GPT-4, LangChain, and n8n. Every project starts with an honest look at where AI actually adds value to your business.
What's included
AI Chatbots & Assistants
Intelligent chatbots tailored to your business - trained on your products, services, and processes.
Process Automation
Automate repetitive tasks with n8n and LangChain. Save time, reduce errors, and free your team for higher-value work.
RAG Systems
AI-powered search across your documentation, knowledge base, or product catalog - accurate and fully contextual.
LLM Integrations
Claude, GPT-4, Gemini - we select the right model for your use case and integrate it into your existing infrastructure.
Data Analytics
AI analysis of your business data - discover patterns, forecast sales, and make better-informed decisions.
Custom AI Products
We build AI from the ground up - custom models, vector databases, embeddings, and tailored inference pipelines.
Our process
Feasibility Analysis
We evaluate your processes and identify where AI delivers the most value with reasonable investment.
Prototype & Validation
We quickly build a proof-of-concept you can see and test - before committing to full implementation.
Development & Integration
We build the solution and integrate it with your existing systems, data, and workflows.
Testing & Fine-tuning
Thorough testing of accuracy, robustness, and safety. We optimize prompts and the full pipeline.
Deployment & Monitoring
We deploy to production with monitoring in place and the ability to adapt quickly as your needs evolve.
FAQ
Got questions?
RAG (Retrieval-Augmented Generation) lets an AI model search your specific documentation or knowledge base - rather than relying only on general knowledge. It is ideal for customer support chatbots, internal knowledge search, and AI assistants that need to answer accurately about your company, products, or processes.
Claude (Anthropic), GPT-4 (OpenAI), and Gemini (Google) are the leading enterprise-grade models. Each has strengths: Claude excels at precise instruction-following and document analysis; GPT-4 offers broad versatility; Gemini has deep Google ecosystem integration. We select the right model based on your use case, budget, and data privacy requirements.
AI solutions work best as tools that take repetitive tasks off employees - not as replacements for expertise. Typical use cases: automating responses to common questions, summarizing documents, categorizing data, and generating reports. Employees can then focus on higher-value work requiring judgment and creativity.
Security is designed in from the start: API calls are encrypted, access is role-restricted, and data is not shared with third parties without consent. For sensitive data, we offer on-premise deployments or private cloud environments (Azure, AWS). Every implementation is GDPR-compliant.
A proof-of-concept chatbot or automation can be built in 2-4 weeks. A complex RAG solution integrated with existing systems takes 6-12 weeks. We recommend an iterative approach: start with an MVP that solves a real problem, then improve incrementally based on real usage data.
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something great?
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