Transform Industrial Plants Into
Digitally Native, AI-Ready
Facilities of Future
Industrial assets generate tens of thousands of engineering documents, tens of gigabytes of instrument data, and span hundreds of miles of piping. Drishya transforms this complexity into a computable contextual model — making every component, connection, and data point queryable, automated, and AI-ready.
Book a DemoThe Knowledge Layer That Makes Your Facility Computable
Most digital twin platforms connect sensors and dashboards to a facility. Drishya goes deeper — building a computable contextual model that unifies P&IDs, isometrics, data sheets, process narratives, simulation data, and hazard studies into a single, structured knowledge layer. The result is an asset where AI can reason across engineering disciplines, not just visualize live data.
Beyond Dashboards — A Facility That Thinks
Real-Time Validation of Engineering Drawings
Validates isometric drawings against P&IDs and LDTs automatically — checking existence, topology, geometry, BOM, insulation codes, paint codes, and orientation. Catches the errors manual review misses.
HYSYSY Flowsheet Automation
Reads your P&IDs and data sheets, maps the process topology, and generates ready-to-run HYSYS flowsheets — streams connected, operating conditions populated, unit operations mapped. 3-4 days instead of 3-6 weeks of manual setup.
Fabrication Pack Generation
Generates complete fabrication packages from your ISOs and P&IDs — P&IDs, ISOs, SLDs, block diagrams, LDTs, instrument indices, and bills of materials. 198 artifacts per package in 12 minutes. Not months.
Engineering Deliverables on Demand
Equipment lists, valve lists, instrument indices, I/O lists, line designation tables, special items lists — generated directly from the Contextual Graph. 15 minutes instead of 100 hours of manual extraction.
Condition-Based Maintenance
Forecast degradation and failures, estimate remaining useful life, and propose condition-based maintenance windows—with risk ranking.
Process Optimization Recommendations
Optimize across product, quality, and energy to generate prescriptive adjustments—quantified, explainable, and fully traceable.
"Drishya transforms industrial plants into computable facilities of future — digitally native assets with model-based and data-centric components, workflows, and decisions resulting in agile and future-proof operations."
Frequently Asked Questions
Common questions about Facilities of Future and Drishya's approach.
Ready to Transform Your Asset
Into a Facility of Future?
Transform your industrial assets from static documents into computable, AI-ready systems — with every symbol, tag, and connection structured for automation.
- Unify engineering documents into a computable contextual model.
- Automate engineering workflows at 10x speed and 1/10th the cost.
- Enable AI-driven validation, simulation, and operations intelligence.
- Span the full asset lifecycle from conceptual design to live operations.
- Ground every AI decision in real engineering context, not just sensor data.
