AI Agents & Intelligent Systems
Deploy on premise, connect to your internal tools, optimise for specialist work, and stay free to choose the models that power your workflow.
Discuss your AI use caseOn-premise agent brain
How we customise AI
There is no single best model or setup for every company. We customise where your agent runs, what it can use and how it performs—while keeping the underlying workflow in your hands.
For sensitive information that cannot leave your organisation, we deploy AI models and agents on premise—inside infrastructure you control. We have built these systems for enforcement agencies and other security-conscious teams.
Give your agent controlled access to the software, databases and APIs your team already uses. We build the custom tools it needs to search, update records, analyse files and prepare outputs.
We fine-tune, evaluate and optimise agents for technical work where generic AI falls short. Our experience includes:
We test open-source and specialist models alongside frontier models, then keep the workflow portable. Your company retains control of the logic, data connections and deployment path as models and providers change.
Case studies
See how purpose-built AI supports student administration, evidence analysis and specialist teaching, while keeping people in control of important decisions.
Saint Clare School· Education
A learning management system shaped around special education: individual plans, AI-assisted teaching preparation and reusable curriculum knowledge, with a companion app that carries student information into everyday communication with families.
ProwlOps· Investigation & research
ProwlOps: In Collaboration with a Singapore Enforcement AgencyAn investigation workspace that connects case files, searchable documents, video evidence and an AI agent—helping analysts move from a question to source-linked material and working outputs.
Edusphere· Training & education
From the first enrolment file to course delivery and completion, Edusphere brings training operations into one workspace—with an AI agent to help staff turn incoming information into records they can review and use.
How we build
Identify the information, decisions and tools involved. Agree what the agent can do, what remains private and where a person must review the result.
Choose the right model and deployment setup, then connect the agent to the approved data and tools it needs for one useful workflow.
Evaluate the agent with real cases, including incomplete and difficult inputs. Tune its performance, add safeguards and expand only when the results support it.
