Contextualising Computable
Facilities of Future
Facility of Future is a digitally-native asset, where every component, workflow, and decision is model-based & data-driven — engineered digital-first, built physical-second.
RECOGNISED AS AI INNOVATORS
Data Centric Engineering Operations
A facility of the future is a digitally native industrial asset where engineering documents are computable. operations are model-driven, and maintenance is predictive. It generates its own deliverables, monitors its own health, and preserves every engineering decision ever made.
Drishya builds the knowledge layer that makes this real.
90%
Reduction in Engineering Time, Cost & Resources
Your engineering output multiplies by ten, while the budget stays the same. The difference is 100 hours of manual engineering deliverables, in minutes.
50% Reduction in Pre-FEED & FEED Cycles
Go from concept to detailed design, faster. Your engineers spend their time on the engineering that matters - design choices, risk assessments, optimization, while the computable contextual graph handles the deliverables.
HYSYS Simulations in 3 Days, Not Weeks
Process engineers stop spending 3-6 weeks manually building HYSYS flowsheets from P&IDs and process documents and data sheets. The Computable Knowledge Layer, reads everything, maps the process topology, and generates the flowsheet.
Failures Predicted 15+ Hours Early.
Equipment anomalies detected before they become downtime, Your operations team gets 15+ hours to act - not react. Every prediction comes with engineering context. Not just "something is wrong", but what, where, why, and what to do about it.
The Facility That Answers Questions
Engineers stop searching through file cabinets and SharePoint folders. They ask Junior a question and get an answer grounded in actual engineering documents. Your team trusts the answer because they can verify it in one click.
50% Reduction in Pre-FEED & FEED Cycles
Go from concept to detailed design, faster. Your engineers spend their time on the engineering that matters - design choices, risk assessments, optimization, while the computable contextual graph handles the deliverables.
HYSYS Simulations in 3 Days, Not Weeks
Process engineers stop spending 3-6 weeks manually building HYSYS flowsheets from P&IDs and process documents and data sheets. The Computable Knowledge Layer, reads everything, maps the process topology, and generates the flowsheet.
90%
Reduction in Engineering Time, Cost & Resources
Your engineering output multiplies by ten, while the budget stays the same. The difference is 100 hours of manual engineering deliverables, in minutes.
Failures Predicted 15+ Hours Early.
Equipment anomalies detected before they become downtime, Your operations team gets 15+ hours to act - not react. Every prediction comes with engineering context. Not just "something is wrong", but what, where, why, and what to do about it.
The Facility That Answers Questions
Engineers stop searching through file cabinets and SharePoint folders. They ask Junior a question and get an answer grounded in actual engineering documents. Your team trusts the answer because they can verify it in one click.
Everything Your Facility Needs for Automation & Operational Intelligence
The Drishya platform builds a digital intelligence layer for your entire facility-from static documents to real-time operations to natural language access. Deploy each capability independently or as an integrated system.
Artisan
Intelligent document processing and content creation.
- P&ID and Isometric Digitization from PDFs to Smart Diagrams.
- Automated HYSYS Flowsheet Generation in 3 Days.
- 100+ Deliverable Fabrication Pack Generation in 10 Minutes.
- Isometric QC Against P&IDs and LDTs.
- Engineering Deliverables on Demand.
Brains
Advanced reasoning and decision-making engine.
- Predictive Asset Health with 15+ Hours Early Warning.
- Realtime Monitoring, Diagnosis and Optimization.
- ISA-8.2 Compliant Alarm Intelligence.
- Intelligent Soft Sensors & Virtual Meters.
- Anomaly Detection Grounded in Engineering Context.
- Condition Based Maintenance for Rotating Assets.
- Pipeline Leak Detection & Localization.
Junior
Lightweight AI Assistant for everyday tasks.
- Natural Language Queries Across Your Entire Plant Model.
- Tag-Level, Valve-Level, Sensor-Level Answer Precision.
- Engineering Workflow Automation from Single Prompts.
- Cross Document Navigation Across P&IDs, ISOs, and Data Sheets.
- Zero Hallucination - Grounded in Your Contextual Graph.
- Agentic Task Execution for Multi-Step Engineering Workflows.
Engineered & Purpose Built for
Process Intensive Industries
From SAGD well pads in Alberta to 590,000 bpd refineries in the Gulf - built on deep domain expertise, not adapted from generic enterprise AI.
Blog & Insights
Engineering perspectives, product updates, and deep dives into Industrial AI.
Drishya AI Labs and Trident Energy Group Announce Strategic Partnership to Build INTELLIGENT FACILITIES OF THE FUTURE™.
Natural language queries across your entire plant model - zero hallucinations, grounded in your facilities contextual graph.
Optimizing Energy Industry for Net-Zero Goals Using Artificial Intelligence.
Discover how AI is revolutionizing the path to net-zero and how Drishya AI is at the forefront of this shift. Read along to see how Drishya’s AI-driven solutions optimize energy efficiency, integrate renewables, and drive ESG excellence.
Transforming Alarm Management in Oil and Gas Through Artificial Intelligence.
Featured in Harvard Business Review, this case study showcases how Drishya AI, in collaboration with IIM Bangalore, transformed alarm management in the oil and gas sector through cutting-edge AI and machine learning. Discover impactful operational improvements and scalable solutions addressing industrial challenges/
Frequently Asked Questions
Common questions about our platform, deployment, and capabilities.
Drishya works with any facility that has engineering drawings — P&IDs, isometrics, data sheets, process narratives. This includes oil and gas (upstream, midstream, downstream), LNG, refineries, chemical and petrochemical plants, power generation and utilities, pulp and paper mills, and mining operations. We support both brownfield facilities with decades of legacy documentation and greenfield projects from the FEED phase onward. Our platform is currently deployed across 35+ companies on 4 continents, including super major operators, Tier 1 EPCs, and national oil companies.
A typical pilot runs 2-4 months on a bounded scope. Most clients see measurable results within the first pilot phase — engineering deliverables that previously took 100 hours are generated in 15 minutes from day one of the platform being live.
Not to get started. Artisan and Junior run on engineering documents alone — P&IDs, isometrics, data sheets, and narratives. You can digitize your facility and generate engineering deliverables without connecting a single sensor. When you're ready to add predictive operations intelligence, Brains connects to your historian data (OSIsoft PI, IP.21), DCS, SCADA, and PLC systems to enable anomaly detection, predictive maintenance, and alarm intelligence. The platform is designed to deliver value from documents first, then deepen with operational data over time.
We deploy on Microsoft Azure with a SaaS architecture: a dedicated sub-tenant within our Azure infrastructure that runs your complete InfoSec stack. Private Azure Links ensure your data never traverses the public internet. We implement Terraform-based InfoSec policies, SSO integration, and maintain three separate instances — Dev, UAT, and Production. Our security posture has been validated through enterprise security reviews at Tier 1 EPCs and super major operators, including internal and external auditor assessments.
Most industrial AI platforms — whether they focus on DataOps, predictive analytics, or process optimization — require structured digital data to work. For 95% of industrial facilities, that structured data doesn't exist. It's locked in PDF drawings, legacy data sheets, and engineering documents that no other AI can read. Drishya starts from those documents. We read your P&IDs, ISOs, and data sheets, understand the engineering relationships between them, and build a computable model — the Contextual Graph — that becomes the foundation for everything else: automated deliverables, predictive maintenance, and an agentic AI co-pilot. We don't replace your existing tools. We create the knowledge layer they all need.
Yes. Drishya is designed to complement your existing stack, not replace it. Current integration points include Aspen HYSYS (direct flowsheet generation), document management solutions — push and pull P&IDs and ISOs), DCS configuration systems, SQL databases, and 3D CAD systems. We output in the formats your teams already use: CAD, JSON, CSV, JPG, SVG, PDF, and HYSYS configuration files. If you use AVEVA, Hexagon, or AspenTech tools, Drishya reads the documents those tools create and adds a layer of computable intelligence on top of them.
Ready to Transform Your Asset Into a Data-Driven Facility of the Future?
See how Drishya AI can help you reduce engineering time by 90% deliver ROI in 12 months.
- Build a computable model of your facility from your engineering documents.
- Generate 100+ engineering deliverables in minutes.
- Predict equipment failures 15+ hours before they happen.
- Preserve decades of plant knowledge before it retires.
- The knowledge layer that makes every other AI investment in your facility work.