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AI Solutions
AI is most valuable when it works on your own data and inside your own workflow, not when it is a generic chatbot bolted onto a page. We build retrieval systems that answer from your documents with citations (RAG), semantic search over your knowledge using embeddings, fine-tuned models for when a general one is not precise enough, and agents that call your tools and complete multi-step tasks. The same systems can ingest and process documents, audio, video, and records end to end. Everything runs in the cloud when scale matters, or locally when privacy, cost, or latency matter more.
HOW RAG WORKS
Answers grounded in your data
WHAT IS INCLUDED
Scope of work
Retrieval and RAG
Answers grounded in your own documents and data, with citations, instead of the model guessing from generic training knowledge.
- Retrieval-augmented generation (RAG) over your content
- Chat and Q&A over your knowledge base
- Hybrid vector and keyword search with source citations
- Grounding and context engineering to cut hallucination
Embeddings and semantic search
Find things by meaning rather than exact keywords, across large or messy collections.
- Embedding pipelines and vector databases
- Semantic search and similarity matching
- Clustering, deduplication, and recommendations
- Classification and tagging at scale
Fine-tuning and custom models
When a general model is not precise enough, we train one on your domain, end to end.
- Fine-tuning open-source and commercial models
- Training-data preparation and cleaning
- Evaluation, benchmarking, and iteration
- Deployment of the trained model into your stack
Agents, tools, and assistants
Models that do work: call your APIs, follow multi-step processes, and take action under your rules.
- LLM-powered internal assistants and copilots
- Tool-use and function-calling agents
- Multi-step workflow and decision automation
- Structured extraction against your own schema
Document, audio, and data pipelines
Turn raw, unstructured input into clean, structured output, automatically.
- Document and PDF extraction, classification, and summarisation
- Audio and video transcription and analysis
- Data ingestion, cleaning, and transformation
- Integration with your existing systems and databases
Evaluation, privacy, and deployment
Built to be measured, trusted, and run wherever your data is allowed to live.
- Evals, guardrails, and quality monitoring
- Cloud deployment for scale and availability
- On-premises or local models for sensitive data
- Cost and latency optimisation
WHO IS THIS FOR
FAQ
Frequently asked
RELATED NODES
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