A production localization pipeline built entirely on the OpenAI API: one English source of truth, SEO-aware translation prompts, cross-model verification with
Iurii Builds: AI Integration
Add AI features to your existing product. Whether it's a chatbot, document processing, or smart recommendations — I'll plug it in cleanly.
Based in Finland (UTC+2) · VAT-registered FI29845875 · Respond within 24 hours
There's a lot of AI hype and a lot of AI waste. I focus on AI that does something genuinely useful: answering customer questions accurately, processing documents automatically, extracting structured data from unstructured input.
I've built RAG systems for multilingual e-commerce (30+ languages), document analysis tools for fintech, and AI chatbots that actually stay on-topic. I know what works in production and what looks good in demos but falls apart with real data.
I work with OpenAI and Anthropic's Claude. I'll recommend the right model for your use case — not the most expensive one.
What's included
- OpenAI (GPT-4o) and Claude integration
- RAG (retrieval-augmented generation) with vector search
- AI chatbots with conversation memory and context
- Chatbots on the channels your customers already use — Telegram, WhatsApp, Slack, or a widget on your own site
- Document analysis, extraction, and classification
- Embedding pipelines and semantic search
- Prompt engineering and output validation
How I approach this
01
Define what 'good' looks like
What should the AI do? What's an acceptable error rate? What are the failure modes you can't tolerate?
02
Choose the right approach
RAG, fine-tuning, or pure prompting? The right choice depends on your data, latency requirements, and budget.
03
Build and evaluate
Build the pipeline, then evaluate it against real examples. Iteration is built into the process.
04
Deploy with guardrails
Output validation, rate limiting, cost monitoring. AI in production needs more guardrails than most integrations.
Relevant projects
View all projects
Internal sales portal that turns a wholesale deal into a full set of trade paperwork — pro forma, contract, commercial invoice, packing list, CMR and more —
Open-source MCP server that lets Claude Desktop, Cursor and other MCP clients validate EU VAT numbers and look up rates directly in chat.
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What Clients Say
View all reviews“
We process thousands of supplier invoices a month and the team was keying them in by hand.
Lena Brandt 🇩🇪
Head of Product
“
We wanted to add an AI feature that turns messy user notes into structured records, but our first attempt returned unpredictable JSON that broke the app half the time.
Bram de Vries 🇳🇱
Product Lead
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Our support inbox was drowning — most tickets were repeat questions our docs already answered, but customers weren't finding them.
Anna Lindberg 🇸🇪
Head of Operations
Topics
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