Custom AI Engineering for Complex Business Problems
Bespoke, production-grade AI systems, engineered to modern standards and built to scale.
Engineering capabilities
From RAG to computer vision: the building blocks of production AI.
| Solution | Description |
|---|---|
| Retrieval-Augmented Generation (RAG) | Grounded, citable answers from your private data and documents. |
| Enterprise Search | Semantic search across your knowledge, tickets, and content. |
| Multi-Agent Systems | Coordinated agents that plan, use tools, and complete complex tasks. |
| Knowledge Bases | Structured, continuously updated knowledge that powers AI features. |
| NLP Solutions | Classification, extraction, summarisation, and sentiment at scale. |
| Computer Vision | Image and document understanding, detection, and OCR. |
| Custom AI Applications | Bespoke, production-grade AI apps engineered around your workflow. |
The tools behind our builds
Frameworks
AI Technologies
Infrastructure
Built right, from day one
Frequently asked questions
What is Retrieval-Augmented Generation (RAG)?
RAG is an AI technique that grounds language-model answers in your own data and documents, returning accurate, citable responses instead of guesses. Lemuran engineers production-grade RAG systems for enterprise search, knowledge bases, and AI assistants that need to be trustworthy and up to date.
What can Lemuran’s AI engineering team build?
Lemuran builds RAG systems, enterprise and semantic search, multi-agent systems, knowledge bases, NLP solutions, computer vision, and bespoke AI applications. Builds use frameworks such as LangChain, LangGraph, and LlamaIndex on AWS, Azure, or Google Cloud.
What engineering standards does Lemuran follow?
Lemuran builds to modern standards: API-first (OpenAPI), cloud-native and containerised, OpenTelemetry observability, OWASP LLM Top 10 compliance, and human-in-the-loop design, so your AI is secure, observable, and built to scale from day one.
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