Services
AI and LLM Engineering
We design and deploy large language model systems that answer from your data, act through your tools, and are measured against clear quality targets. From multimodal RAG over millions of documents to agent architectures connected through MCP, we build for accuracy, cost, and scale.
What we deliver
- Multimodal retrieval augmented generation (RAG)
- Multi-agent systems and tool use with MCP integrations
- LLM integration into existing products and workflows
- RAG and LLM evaluation, guardrails, and monitoring
- Custom machine learning models and fine tuning
What you can expect
- Answers grounded in your own documents and data
- Quality tracked with automated evaluation suites
- Predictable latency and inference costs
- Private deployment on your cloud tenancy
Typical use cases
- Enterprise knowledge assistants
- Regulatory and compliance research
- Natural language analytics over databases
- Customer support automation
Technologies we use
- Python
- LangChain
- LangGraph
- Azure OpenAI
- OpenAI API
- Hugging Face Transformers
- FAISS
- Elasticsearch
- FastAPI
- PostgreSQL
- Redis
Related case studies
Examples of how we have applied this service for clients.
Enterprise
Document intelligence over one million files
A retrieval augmented generation platform that lets teams search, summarize, and ask questions across more than a million complex documents.
Read case study
Accessibility
Assistive AI that turns gestures into speech
A multimodal system that analyzes video and produces text, speech, and images for audiences with special needs.
Read case study
Real Estate
AI program for a multinational real estate company
End to end AI consulting and implementation, from valuation models to workflow automation.
Read case study
Business Intelligence
AI agent for natural language data insights
An AI agent that answers business questions directly from databases and large datasets.
Read case study
Online Communities
AI moderation and operations bot for Telegram
A bot that monitors conversations, detects sentiment, enforces rules, and manages campaigns across communities.
Read case studyHave a project in mind?
Tell us what you want to achieve. We will reply with honest feedback on feasibility, approach, and next steps.