2026 · Aonvina · JasonDigital Twin & Ontology
Give Landmark 72 — a 72-storey tower, twin residential towers, and a shared podium — one connected model that people and AI agents can query, instead of separate systems that each describe the building differently.
Project snapshot
Project snapshot
- Client / Product
- Aonvina
- Role
- AI Product Strategist & Project Manager
- Team
- 5 people
- Markets
- Vietnam
- Stage
- Pilot
- Industry
- Real Estate / Smart Buildings
- Timeline
- 2026
Aonvina
Highlights
- 01
One ontology for a 72-storey tower, twin residences, and a shared podium.
- 02
Building data mapped once, then queried by people and AI agents alike.
- 03
A five-person team, led from use-case strategy to pilot.
Aonvina
About the Company
Aonvina owns and operates Landmark 72 in Hanoi: a 72-storey tower with Grade-A offices, serviced apartments, and a hotel, joined by twin 48-storey residential towers and a retail podium. Building data lived across separate systems — building management, energy meters, maintenance, leasing — each with its own names for the same floors, rooms, and equipment. The project defined one ontology for the whole complex and used it as the backbone of a digital twin.
2026
Scope of Work
- 01
AI product strategy
Worked with operations, engineering, and leasing teams to choose the twin's first use cases, then turned them into a phased product roadmap.
- 02
Building ontology
Modelled the complex as connected entities — site, building, zone, floor, space, asset, sensor — and the relations between them, so every system maps to one shared vocabulary.
- 03
Digital twin layer
Mapped live and historical building data onto the ontology, giving every floor and asset a current state that can be browsed, filtered, and compared.
- 04
Ask the twin
Connected an AI assistant to the knowledge graph so staff can ask operational questions in plain language and see where each answer came from.
- 05
Delivery management
Ran the five-person team through discovery, modelling, integration, and pilot, keeping scope, risks, and stakeholders aligned.
The Challenges
Many systems, many names
Building management, maintenance, and leasing each identified the same floors, rooms, and equipment in their own way.
Three towers, one model
Offices, a hotel, serviced apartments, and residences share infrastructure but run on very different schedules and needs.
Answers people can trust
AI answers had to be traceable to the systems and records behind them before operators would act on them.
Outcomes
A single ontology describes sites, buildings, floors, spaces, assets, and sensors across the complex.
Operators can trace any reading back to the floor, space, and equipment it belongs to.
An AI assistant answers building questions from the twin's graph, with every answer traced to its source systems.
A phased roadmap sets out which systems and use cases join the twin next.
Tech Stack
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