Our Services

Add AI to Your Product Without Starting Over

We integrate large language models and AI capabilities into existing products and new builds. From RAG-powered knowledge bases to intelligent chatbots and automated workflows, we help you leverage AI where it creates real business value, not just hype. Our integrations are production-ready, compliant with EU regulations, and designed to scale.

Key Features

AI model integration into your software
Chatbots and assistants for your team and customers
Automated document and data analysis
Automation of recurring tasks

Why Choose Olio for AI Integration

  • Production-ready LLM integrations with proper guardrails, caching, and fallbacks
  • Experience with OpenAI, Anthropic, Ollama, and open-source models, we pick what fits your use case
  • EU AI Act compliance built in from day one
  • RAG, fine-tuning, and prompt engineering expertise to maximize accuracy and minimize costs

Core Technologies

PythonFastAPINext.jsReactPostgreSQLDockerLangchainOpenAIAnthropicLlamaIndexOllama

Projects in this area

All projects
Storyboarder.ai
Storyboarder.aistoryboarder.ai

Character persistence in image generation

Characters that stay recognisable across an AI storyboard

Storyboarder.ai turns a script into a finished storyboard. We built the character persistence: describe a character once, and they look the same in every panel. At a time when image generation could not do that on its own.

  • Character registry
  • Curated reference sets
  • Consistency across full boards

Custom Software · LLM/AI Integration

Read the case study

FAQ

Which AI models do you work with?

OpenAI (GPT-4), Anthropic (Claude), Meta (Llama), Mistral, and self-hosted models via Ollama. We recommend the best fit based on your requirements, budget, and data privacy needs.

Can you integrate AI into our existing product?

Yes. Most of our AI projects are integrations into existing systems: adding chatbots, search, classification, or automation to products that are already in production.

How do you handle EU AI Act compliance?

We classify your use case by risk level, implement required documentation, add human oversight where needed, and ensure data processing stays within EU boundaries when required.

What is RAG and do we need it?

RAG (Retrieval-Augmented Generation) lets AI answer questions using your own data. If you need a chatbot that knows your documentation, products, or internal knowledge, you need RAG.