AI Consulting
We help you move beyond prototypes to production-ready AI systems that deliver measurable results.
Search with vector databases
Implement semantic search using state-of-the-art vector databases. Find meaning, not just keywords, enabling smarter retrieval across documents, products, and knowledge bases.
RAG pipeline design & implementation
Design and build Retrieval-Augmented Generation pipelines that ground LLM responses in your data. Reduce hallucinations and deliver accurate, context-aware answers.
AI integration into existing applications
Seamlessly embed AI capabilities into your current stack, from intelligent APIs to smart automation, without rebuilding from scratch.
Production-ready solutions
We focus on practical, scalable AI that works in the real world: proper evaluation, monitoring, and iteration, not just demos.
Frequently asked questions
What's the difference between RAG and fine-tuning, and which do we need?
For most enterprise use-cases where you need answers grounded in your own documents, RAG (Retrieval-Augmented Generation) is the right starting point: it keeps your data outside the model and stays cheap to update. Fine-tuning only pays off when you need a specific tone or format at scale. We help you choose based on your data and budget, not hype.
How do you stop an LLM from hallucinating on our data?
We ground responses in your content using retrieval pipelines and citations, so the model answers from real sources instead of guessing. It's the same principle behind the hybrid search system we built for SURF's Orchestrator-Core.
Do you build on hosted models like OpenAI and Anthropic, or self-hosted ones?
Both. We integrate the leading hosted models when they're the best fit, and deploy self-hosted, open models when data sovereignty or cost matters. It's the same approach behind our OpenClaw work.
Can you add AI to our existing application without a rebuild?
Yes. We embed AI into your current stack through APIs and targeted automation, rather than starting from scratch.
What makes an AI system production-ready rather than a demo?
Proper evaluation, monitoring, and iteration, plus cost control and security. We focus on systems that keep working after launch, not one-off prototypes.
Ready to build something great?
Let's discuss how Virge.io can help you scale your software solutions.