AI you can put in front of customers and auditors.
We design and build private GenAI, RAG search and agentic apps with the same mindset we use to break them: least-privilege tools, permission-aware retrieval and answers you can audit.
From idea to a pilot you can trust.
AI readiness sprint
Two weeks to pick the right use case, data sources, model options and guardrails, ending in an architecture and cost estimate.
RAG & private GenAI pilot
Grounded, cited answers over your documents, with document-level permissions so users only retrieve what they're allowed to see.
Agents & integrations
Agentic apps and MCP integrations across vision, voice and data, with scoped tools, human approval and full audit logs.
Not bolted on afterwards.
Design
- Threat model before the first line of code
- Permission-aware retrieval
- Tenant isolation
Build
- Prompt-injection defences
- Output sanitisation
- Keys and endpoints kept out of the client
Run
- Logging and evaluation of what the AI did
- Independent security test before launch
AI over data you can't send to a public chatbot.
Good fits are teams that need AI over financial records, HR files, contracts or customer tickets. Already built something? Start with an AI security assessment instead.
Get secured.
Tell us what you're shipping. You'll get a scoped, fixed quote within one business day.