Regulated & Enterprise AI
Private, auditable AI that runs inside your walls.
For organizations where data can’t leave the building. We design and deploy on-premise or private-cloud AI, including retrieval over your documents, local language models, and the access controls and audit trails your compliance team will ask for.
What’s included
Everything you need to get it running and keep it running.
- Data-flow and privacy assessment (PH Data Privacy Act, GDPR-aligned)
- Private RAG over your documents with hybrid search
- Local or offline LLM deployment on your hardware or private cloud
- Role-based access, audit logging, and evaluation reports
- Runbooks and hand-off to your IT team
How it runs
The engagement, step by step
- Step 01
Assess
Map data sensitivity, users, and regulatory constraints. Agree on what success looks like.
- Step 02
Pilot
Stand up a private pilot on a scoped document set, with accuracy measured against real questions.
- Step 03
Harden & hand over
Add access controls, monitoring, and documentation, then train your team to run it.
Related work
Where we’ve done this before
OngoingDepartment of Science and Technology
An AI assembly trainer and digital twin for manufacturers (DMAT-DTS)
A DOST-funded Digital Manufacturing Assembly Trainer and Digital Twin System that helps manufacturers train assembly staff, now approved, in classroom testing at DLSU, with two companies lined up for deployment.
Department of Science and Technology
An AI roadmap for DOST Region 8, now adopted
Mapped existing AI work across the region and the country to shape Region 8's AI roadmap, now launched, adopted by DOST Region 8 and approved by the DOST head office.
DLSU Intelligent Systems Laboratory
A secure room where researchers can use sensitive data without it ever leaving
Designed and planned a restricted-access research room for the DLSU Intelligent Systems Laboratory, so sensitive data can be analyzed without being copied, emailed or leaked.
FAQs
Common questions
Can this run fully offline?
Yes. We deploy open-weight models and retrieval on your own hardware so no data leaves your network.
How do you measure accuracy?
We build an evaluation set from your real questions and report retrieval and answer quality before and after changes.
Let’s talk
Book your free 30-minute consult
Get clarity on your goals, bottlenecks, and quick-win automations. No pressure, just practical next steps.