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Drishya AI

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About

Drishya AI is a Calgary-based deep-tech enterprise specializing in the digital transformation of industrial facilities through AI-driven digital twin technology. The platform is specifically designed to address the "brownfield" challenge, where decades of engineering data are often trapped in static PDF drawings, paper P&IDs, and disconnected spreadsheets. By leveraging proprietary AI engines, Drishya converts these legacy documents into computable, intelligent assets that serve as a single source of truth for operations and maintenance. This process not only preserves institutional knowledge but also enables a level of facility visualization that was previously cost-prohibitive for older plants. The suite is divided into two primary engines: Artisan and Brains. Artisan functions as the "reader," using artificial intelligence to interpret complex engineering drawings and documents. It builds structured Knowledge Graphs that map the connectivity between equipment, instruments, and tags, even generating 3D CAD models and Material Take Off (MTO) estimations from simple Isometric drawings. On the operational side, Brains powers "Junior," a Generative AI industrial co-pilot. Junior acts as a virtual engineer, monitoring real-time sensor data and process variables. It allows users to query their plant’s status using natural language, helping teams identify bottlenecks, predict equipment failure, and optimize resource utilization. Drishya AI is ideally suited for professionals in heavy process-oriented industries, including Oil & Gas, chemicals, mining, and pulp and paper production. It specifically benefits process engineers who work with simulation software like AspenTech’s HYSYS; the platform can reduce simulation setup times from several weeks to just a few days by exporting flowsheets directly into the HYSYS data model. Additionally, it empowers maintenance and reliability teams to shift from reactive to proactive strategies by providing real-time health KPIs and predictive diagnostic insights across a centralized fleet of assets. What sets Drishya AI apart is its focus on speed of deployment. While many solutions require months of manual modeling, Drishya’s AI-first approach automates the creation of the digital twin from existing engineering deliverables.

Pros & Cons

Reduces AspenTech HYSYS simulation setup time from 6 weeks to just 2-3 days.

Automates 3D CAD model generation from Isometric drawings in only a few minutes.

Provides a natural language interface for querying real-time industrial operational data.

Creates intelligent Knowledge Graphs to map complex equipment connectivity across a facility.

Offers centralized fleet management for remote troubleshooting across multiple global locations.

Accuracy of digitalization is dependent on the quality and legibility of legacy paper drawings.

Public pricing information is unavailable, requiring a formal demo for cost assessment.

Highly specialized for process industries like Oil & Gas, making it less relevant for discrete manufacturing.

Requires integration with existing sensors or digital assets to unlock full predictive capabilities.

Use Cases

Process Engineers can slash simulation setup times in AspenTech HYSYS from six weeks to three days using automated flowsheet exports.

Plant Managers can use the Junior AI co-pilot to monitor equipment health and predict maintenance needs through natural language conversations.

Drafting teams can rapidly digitize legacy paper P&IDs into smart digital formats to reveal hidden process inefficiencies and bottlenecks.

Remote operations centers can implement centralized fleet management to troubleshoot equipment across global locations without on-site travel.

Maintenance teams can convert paper Isometric drawings into 3D CAD models to quickly generate accurate Material Take Off estimations.

Platform
Web
Task
industry optimizing

Features

predictive plant state analysis

centralized remote fleet management

real-time equipment health monitoring

hysys simulation data export

knowledge graph connectivity mapping

generative ai industrial co-pilot

iso to 3d cad model generation

pdf to smart p&id conversion

FAQs

What is the Artisan engine used for?

Artisan is an AI engine that reads and understands engineering drawings and documents to build contextual Digital Twins. It uses Knowledge Graphs to create a single source of truth that is accessible via natural language prompts.

How does Junior the AI Co-pilot help plant operators?

Junior is a Generative AI agent that monitors industrial operations in real-time and provides actionable insights. It allows users to ask questions about plant states and process variables using simple natural language.

Can Drishya AI speed up process simulation setups?

Yes, the platform can reduce simulation setup times for software like AspenTech’s HYSYS from 4-6 weeks to just 2-3 days. It does this by exporting process flowsheets directly as HYSYS Data Models or in DEXPI format.

What kind of documents can the AI digitize?

The tool can process a variety of engineering deliverables, specifically PDF P&IDs and Isometric (ISO) drawings. It converts these into Smart P&IDs and 3D CAD models respectively in a matter of minutes.

Is real-time data integration supported?

Yes, Drishya integrates with existing digital reality assets and real-time plant data. This allows users to analyze equipment health, efficiency KPIs, and process variables directly within the context of the digital twin.

Pricing Plans

Enterprise
Unknown Price

Smart P&ID Digitalization

ISO to 3D CAD Conversion

Junior AI Industrial Co-Pilot

AspenTech HYSYS Integration

Knowledge Graph Construction

Real-time KPI Monitoring

Predictive Maintenance Insights

Centralized Fleet Management

Engineering Document Analysis

Contextual Asset Visualization

Job Opportunities

There are currently no job postings for this AI tool.

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