Five high-impact applications where GILT delivers value from day one — built on capabilities we've already proven in the field.
Older facilities have decades of design, construction and operational data scattered across multiple systems with no unified way to query it. Building a traditional digital twin is considered too expensive or too hard.
Ingest all key documents — P&IDs, isometrics, SLDs, datasheets, C&E diagrams, material specs, line/valve/instrument lists — and link every item on a P&ID to its associated documentation, 3D model references and live data. Engineers interact via natural language to navigate between relevant sections. Extend to warehouse stock levels, vendor data, purchase orders and real-time plant data for a truly live digital twin.
When projects change hands — Operator transitions, JV restructures, acquisitions — hundreds or thousands of documents are transferred with poor indexing. Valuable knowledge is buried and duplicate effort is inevitable.
Ingest the entire document corpus, automatically classify and deduplicate, build a logical index, and provide a natural-language search interface so users can find what they need without knowing where it's stored.
Large projects have hundreds of compliance obligations across multiple government agencies. These are tracked manually in spreadsheets that quickly become outdated, especially after Operator transitions.
Ingest all approval documentation (State, Federal, local), extract every compliance obligation, and produce a structured register with Gantt chart, database and calendar reminders. Automatically detect what has already been completed and what is overdue.
HAZOP studies are essential but extremely resource-intensive — multiple engineers, operators and facilitators spending days or weeks in workshops. Much of the process is repetitive across similar facilities.
Ingest historical HAZOP reports from similar facilities and understand the consequences of specific design decisions. Automate identification of hazards and proposed controls, apply LOPA rulesets to determine SIL ratings, and let key personnel focus on genuinely novel risks. The result: more consistent hazard identification, earlier intervention during design, and dramatically reduced workshop time and cost.
When a facility trips, operations teams manually interrogate trips, alarms, first-out data and process historians to identify the root cause. This is time-consuming and dependent on individual experience.
Automatically interrogate all available data to identify probable causes and propose rectification. Coupled with the digital twin, check whether spares are available, where they're located, and if not, where to procure them, at what cost and lead time.