Services
AI Features in Your Product
Retrieval-augmented generation, agents and other AI features, built into the software your customers already use.
- Area
- AI and Integration Services
- Covers
- RAG, Agents, LangChain
AI where your users already work
Adding AI to a product is mostly engineering. The model is one part; connecting it to your data, your interface and your existing code is the rest.
What you get
What the engagement leaves you with.
AI features built into your existing product
Retrieval-augmented generation (RAG) over your own content
Agents that carry out tasks in your product
Work with TensorFlow, PyTorch, OpenAI and LangChain
AI development and model training
Delivered as a project, or by engineers who join your team
Frequently asked questions
Can the models run privately?
Yes. A feature can call a public API, or a private model on our EU-hosted LLM platform or on your infrastructure, through an OpenAI-compatible API.
Do you build the feature, or provide engineers?
Either. We can deliver the feature as a project, or add software engineers to your team who work in your tools and process.
How long does it take?
That depends on the feature and on your codebase. After discovery you get a dated plan.
Case Studies
Related services
Talk to us about AI in your product
Tell us what the feature should do and where your data lives, and we will propose how to build it.