AI & Automation
RAG & Enterprise Search
Retrieval over your own policies, contracts and manuals, returning answers that cite the source clause. If retrieval finds nothing, the system says so instead of inventing an answer.
In short
Answers from your documents, with citations.
What we deliver
- Ingestion and chunking tuned to your document structure
- A citation on every answer, linked to the source
- Abstention when retrieval does not support an answer
- Evaluation covering the cases where refusing is correct
A good fit when
- Staff spend hours searching internal documents
- You tried a chatbot and it made things up
- Answers must be traceable for audit or regulatory reasons
Technologies and methods
Chosen for each project, to fit your systems and your team.
- LangChain
- Vector databases
- Python
How we deliver
From first conversation to production.
Four stages on every engagement, scaled to the size of the project.
- 1
Understand
Clarify the users, goals, constraints, and current systems.
- 2
Plan
Map the main components, data, and integrations before implementation.
- 3
Build
Develop and review the work in small, testable increments.
- 4
Prepare
Plan deployment, operations, documentation, and ownership.
More in AI & Automation
- AI EngineeringProduction AI systems, end to end.
- Agentic AI SystemsMulti-agent systems with approval gates.
- Generative AI & LLMsLanguage models wired into your systems.
- AI Workflow AutomationManual work automated, every step audited.
- Intelligent Process AutomationRepetitive steps removed from daily work.
- Machine Learning & MLOpsModels trained, deployed and monitored.
- Computer VisionImages and video turned into records.
- Document IntelligenceStructured data out of unstructured files.
- Conversational & Voice AIAssistants that cite sources and refuse.
- AI Strategy & GovernanceWhat to automate, and what to keep human.
- AI EnablementYour team productive with AI tooling.
Prefer to talk it through?
A private consultation, 30 minutes with the founder, in your time zone.
Interested in RAG & Enterprise Search?
Tell us what you are working on. We start by understanding the problem, the people, and the systems involved.