AI & RAG
Assistants, search and content automation powered by LLMs, grounded in your own data and integrated into your existing systems
From proof of concept to production: retrieval-augmented generation (RAG) on your documents, conversational assistants that use your tools, a multi-provider LLM gateway (Amazon Bedrock, OpenAI, Anthropic, Gemini, Mistral), structured JSON outputs, semantic and hybrid search, and content generation pipelines built from briefs and documents. Designed for hybrid cloud, so your data stays where you need it to be
What We Deliver
- RAG on your documents — ingestion, retrieval and grounded answers
- Assistants & agents that use your tools
- Multi-provider LLM gateway — Bedrock, OpenAI, Anthropic, Gemini, Mistral
- Structured JSON outputs enforced by a schema
- Semantic & hybrid search — OpenSearch, embeddings, reranking
- Content generation pipelines — briefs, PDF/DOCX extraction, async processing
Our Approach
- Provider-agnostic design — change model without rewriting
- Incremental ingestion with metadata filters
- Event-driven, serverless architecture
- Hybrid cloud — public cloud, private cloud or on-premises
- Private by design — your data stays in your own environment
Web & Mobile DevelopmentHave a digital project to launch or modernize?
We can support you from idea to deployment: scoping, UX/UI, development, cloud hosting and maintenance
Discuss your project