Your company knowledge, answerable and cited.
We connect large language models to your documents, wikis, tickets and databases so teams get accurate answers with sources attached. Where off‑the‑shelf models fall short, we fine‑tune.
Where it pays off.
Typical use cases we design, build and run for clients.
- Enterprise knowledge assistantOne place to ask about policies, products and processes.
- Document intelligenceExtract, compare and summarise contracts, reports and filings.
- Knowledge graphsStructured maps of roles, products or entities, like the one behind JobsAIQ.
- Fine‑tuned modelsDomain‑specific models for tone, format or accuracy.
From first call to production.
Define the decision
Map the workflow, data and the outcome we will measure.
Prove it on real data
A working build scored against an agreed evaluation set.
Integrate & secure
Connect your systems, add guardrails, access control and logging.
Measure & improve
Dashboards, alerts and regular outcome reviews.
Deliverables
Start with an AI Launchpad
A working prototype of your rag & knowledge systems use case, tested on your data, before you commit to a full build.
Book a scoping call →Often paired with
AI Automation & Workflows
Replace repetitive back‑office work with AI pipelines across CRM, ERP, email and documents.
Explore →Voice & Conversational AI
Multilingual voice agents and chatbots for calls, WhatsApp and web, connected to your systems.
Explore →Data & Predictive AI
Forecasting, scoring and recommendation models built on clean, governed data pipelines.
Explore →Let's scope your rag & knowledge systems project.
Share the problem and the systems involved. We will come back with a plan, a timeline and how we would measure success.