EPC/Construction page2026-07-28T16:45:40+00:00

Support for Every Phase of EPC Project Execution

Engineering teams, EPCs and project owners need reliable visibility into field conditions throughout the project lifecycle. Vidya enables teams to continuously validate field conditions, monitor execution progress and compare planned versus actual status using real-world data captured directly from the site.

By connecting field reality with engineering information and project schedules, teams can improve productivity and make faster, evidence-based decisions during construction, commissioning and handover.

Comparison between field images and 3D model showcasing field divergences
Comparison between field images and 3D model showcasing field divergences

Support for Every Phase of EPC Project Execution

Engineering teams, EPCs and project owners need reliable visibility into field conditions throughout the project lifecycle. Yet, project decisions are often made based on disconnected information, manual inspections and limited understanding of actual site progress.

Vidya enables teams to continuously validate field conditions, monitor execution progress and compare planned versus actual status using real-world data captured directly from the site.

By connecting field reality with engineering information and project schedules, teams can reduce uncertainty, improve productivity and make faster, evidence-based decisions during construction, commissioning and handover.

Why industrial projects lose predictability

Industrial projects rarely fail because of engineering alone. Most delays, budget overruns and rework originate from incomplete understanding of existing conditions. When field reality differs from project assumptions, the consequences quickly cascade across engineering, procurement and construction activities.

Challenges you may be facing:

  • Outdated as-built

  • Dependency on qualified personnel

  • Procurement based on incomplete information

  • Design-to-field mismatches
  • Inaccurate Material Take-Offs (MTO)
  • Late discovery of construction constraints

  • Rework during execution

  • Lengthy progress tracking

  • Undocumented field modifications

Why industrial projects lose predictability

Industrial projects rarely fail because of engineering alone. Most delays, budget overruns and rework originate from incomplete understanding of existing conditions. When field reality differs from project assumptions, the consequences quickly cascade across engineering, procurement and construction activities.

Challenges you may be facing:

  • Outdated as-built

  • Dependency on qualified personnel

  • Procurement based on incomplete information

  • Inaccurate Material Take-Offs (MTO)
  • Late discovery of construction constraints

  • Design-to-field mismatches
  • Rework during execution

  • Lengthy progress tracking

  • Undocumented field modifications

How Vidya Supports EPC Projects Across the Asset Lifecycle

Each phase of an EPC project introduces different execution challenges, from planning and construction through commissioning and operations. The sections below outline how Vidya supports these critical stages.

Prepare Construction Activities

Access engineering information in context and reduce time spent searching across disconnected systems. Vidya centralizes project information and enables material take-off directly from the digital representation of the asset through element lists.

Restart Interrupted or Brownfield Projects

Rapidly understand current field conditions and reduce uncertainty before resuming execution. Validate what has already been installed, identify missing components, compare field reality against engineering documentation and accelerate project re-baselining.

Monitor Construction Progress

Gain continuous visibility into project execution without relying exclusively on manual inspections. Compare planned versus actual progress, track installation status using field imagery and identify schedule deviations earlier to improve productivity and project predictability.

More control over QA/QC and Field Workflows

Compare measurements and verify quality workflows in the field through a centralized digital environment. Ensure processes execution records, approvals and evidence remain centralized, traceable and accessible throughout the project lifecycle.

Accelerate Commissioning Activities

Support commissioning teams with immersive field visualization and remote walkthroughs. Validate installation readiness, access contextualized engineering information and improve coordination across multidisciplinary teams before startup

Identify Integrity Issues

Construction projects can span several years, allowing degradation mechanisms to emerge before assets enter operation. AI-powered analysis enables large-scale identification of coating degradation, corrosion and other integrity issues, supporting proactive remediation before startup.

Maintain Reliable As-Built Information

Detect discrepancies between engineering 3D and actual field conditions to support as-built verification campaigns. Prioritize field surveys, validate modifications and ensure digital representations remain aligned with reality during handover and operations.

How Vidya Supports EPC Projects Across the Asset Lifecycle

Each phase of an EPC project introduces different execution challenges, from planning and construction through commissioning and operations. The sections below outline how Vidya supports these critical stages.

Prepare Construction Activities

Access engineering information in context and reduce time spent searching across disconnected systems. Vidya centralizes project information and enables material take-off directly from the digital representation of the asset through element lists.

Restart Interrupted or Brownfield Projects

Rapidly understand current field conditions and reduce uncertainty before resuming execution. Validate what has already been installed, identify missing components, compare field reality against engineering documentation and accelerate project re-baselining.

Monitor Construction Progress

Gain continuous visibility into project execution without relying exclusively on manual inspections. Compare planned versus actual progress, track installation status using field imagery and identify schedule deviations earlier to improve productivity and project predictability.

More control over QA/QC and Field Workflows

Compare measurements and verify quality workflows in the field through a centralized digital environment. Ensure processes execution records, approvals and evidence remain centralized, traceable and accessible throughout the project lifecycle.

Accelerate Commissioning Activities

Support commissioning teams with immersive field visualization and remote walkthroughs. Validate installation readiness, access contextualized engineering information and improve coordination across multidisciplinary teams before startup

Identify Integrity Issues

Construction projects can span several years, allowing degradation mechanisms to emerge before assets enter operation. AI-powered analysis enables large-scale identification of coating degradation, corrosion and other integrity issues, supporting proactive remediation before startup.

Maintain Reliable As-Built Information

Detect discrepancies between engineering 3D and actual field conditions to support as-built verification campaigns. Prioritize field surveys, validate modifications and ensure digital representations remain aligned with reality during handover and operations.

Over the past 9 months, we have avoided 3 field survey campaigns because all the information we needed was already available on Vidya’s digital twin . So less people are being exposed to risk, we are saving time and reducing costs.

ALTERA OCYAN – Senior Integrity Engineer

The opportunities and potential offered by the Management System from Vidya stand out for presenting a market differential where management gains significant added value through the provided tools, which are seamlessly integrated with the planning process.

MODEC – Integrity Manager

Built for Oil, Gas and Energy, Chemicals, Marine, Mining Metal Minerals, Manufacturing, Power & Utilities, and Infrastructure. Where safety, reliability, and performance are non-negotiable.

Impact
generated

Spatially processed images

Centimeter precision

30+ facilities processed.

How does it works?

Reality capture

The process begins with reality capture. Field conditions are documented using drone imagery or 360° cameras, creating a visual representation of the project environment without requiring extensive surveying activities.

This approach enables rapid site documentation while maintaining the contextual information needed to understand the physical conditions of the asset.

Field capture with camera stick showcasing different capturing methos
Screenshot of Vidya's system showcasing 3D model side-by-side attirbute screen

DRM Processing

Once captured, the imagery is processed by DRM. Using computer vision, artificial intelligence and spatial correlation techniques, the platform analyzes field conditions and compares them against engineering references and expected project configurations.

DRM automatically identifies inconsistencies that may affect engineering, procurement or construction activities.

Detect Issues Early in the Field

The result is a structured view of discrepancies and project risks that would otherwise remain hidden within large volumes of visual data.

Teams gain visibility into areas requiring attention before they become costly engineering revisions, procurement changes or construction delays.

Screenshot of Vidya's system showcasing discrepancy heatmap with reality capture to the side

Outputs Generated by DRM

Heatmap on Vidya's system showcasing installation matches

Reliability Heatmaps

Highlights areas where project information is highly reliable and areas where additional validation may be required.

Screenshot of Vidya's system showcasing schedule window management

Divergence Criticality Assessment

Prioritizes discrepancies according to their potential impact on project execution, helping teams focus resources where they matter most.

Screenshot of Vidya's system showcasing visual evidence of installation discrepancy

Visual Evidence

Provides contextual imagery associated with each identified issue, improving communication between engineering, procurement and construction stakeholders.

How does it works?

Reality capture

The process begins with reality capture. Field conditions are documented using drone imagery or 360° cameras, creating a visual representation of the project environment without requiring extensive surveying activities.

This approach enables rapid site documentation while maintaining the contextual information needed to understand the physical conditions of the asset.

DRM Processing

Once captured, the imagery is processed by DRM. Using computer vision, artificial intelligence and spatial correlation techniques, the platform analyzes field conditions and compares them against engineering references and expected project configurations.

DRM automatically identifies inconsistencies that may affect engineering, procurement or construction activities.

Detect Issues Early in the Field

The result is a structured view of discrepancies and project risks that would otherwise remain hidden within large volumes of visual data.

Teams gain visibility into areas requiring attention before they become costly engineering revisions, procurement changes or construction delays.

Outputs Generated by DRM

Reliability Heatmaps

Highlights areas where project information is highly reliable and areas where additional validation may be required.

Divergence Criticality Assessment

Prioritizes discrepancies according to their potential impact on project execution, helping teams focus resources where they matter most.

Visual Evidence

Provides contextual imagery associated with each identified issue, improving communication between engineering, procurement and construction stakeholders.

How does it work?

The first step of the DRM workflow is conducting a reality capture campaign using 360° cameras or drone imagery to document current field conditions. The collected images (as-is) are then processed and spatially aligned with the facility’s BIM model (as-designed). Using AI-assisted analysis, the system automatically identifies inconsistencies between the designed and actual conditions, generating a structured list of divergent TAGs, 3D reliability heatmaps, and a criticality assessment of each detected deviation.

List of Inconsistente TAGs

Field evidences of the divergency detected

Relevance/criticality of the divergence

Design vs. Field Validation

Identify discrepancies between engineering models and actual field conditions before execution.

  • Validate existing infrastructure

  • Detect undocumented modifications

  • Identify physical interferences

  • Reduce engineering revisions

  • Improve constructability reviews

Comparison between Reality Capture, 3D model, and Discrepancy heatmap
Screenshot of Vidya's system showcasing discrepancy heatmap, Reality Capture and Material Procurement

Construction Reality Mapping

Create a contextual visual layer connecting field captures to project assets.

  • Remote site understanding

  • Faster field verification

  • Reduced site visits

  • Better project communication

Material Take-Off Reliability

Improve confidence in material quantities by validating existing conditions before procurement.

  • Reduce quantity errors

  • Improve procurement planning

  • Minimize material waste

  • Avoid emergency purchases

  • Increase CAPEX predictability

Screenshot of Vidya's Material procurement management feature
GIF showcasing the navigation on Vidya's system with installation heatmap and Reality Capture

Project Progress Validation

Compare planned progress with observed field reality.

  • Objective progress verification

  • Visual evidence of execution

  • Early identification of delays

  • Improved reporting accuracy

  • Better project governance

Design vs. Field Validation

Identify discrepancies between engineering models and actual field conditions before execution.

  • Validate existing infrastructure

  • Detect undocumented modifications

  • Identify physical interferences

  • Reduce engineering revisions

  • Improve constructability reviews

Construction Reality Mapping

Create a contextual visual layer connecting field captures to project assets.

  • Remote site understanding

  • Faster field verification

  • Reduced site visits

  • Better project communication

Material Take-Off Reliability

Improve confidence in material quantities by validating existing conditions before procurement.

  • Reduce quantity errors

  • Improve procurement planning

  • Minimize material waste

  • Avoid emergency purchases

  • Increase CAPEX predictability

Project Progress Validation

Compare planned progress with observed field reality.

  • Objective progress verification

  • Visual evidence of execution

  • Early identification of delays

  • Improved reporting accuracy

  • Better project governance

Why Traditional Site Verification Is No Longer Enough

Traditional project verification methods depend on:

As projects become more complex, these approaches create blind spots that delay decision-making.

Vidya enables a continuous understanding of project reality by combining visual data, spatial context and AI-driven analysis into a single source of truth.

Why Traditional Site Verification Is No Longer Enough

Traditional project verification methods depend on:

As projects become more complex, these approaches create blind spots that delay decision-making.

Vidya enables a continuous understanding of project reality by combining visual data, spatial context and AI-driven analysis into a single source of truth.

Improve Planning Accuracy Through Continuous Field Validation

The value of reality intelligence is not simply seeing the field, it is understanding how reality impacts engineering, procurement and construction decisions.

By continuously validating field conditions, EPCs and project owners can reduce uncertainty, improve planning accuracy and execute projects with greater confidence.

Improve Planning Accuracy Through Continuous Field Validation

The value of reality intelligence is not simply seeing the field, it is understanding how reality impacts engineering, procurement and construction decisions.

By continuously validating field conditions, EPCs and project owners can reduce uncertainty, improve planning accuracy and execute projects with greater confidence.

Field-Proven at Industrial Scale

DRM has already supported large-scale industrial verification workflows across complex assets

31

Industrial Operations & Construction Sites Worldwide

16M+ m²

Inspected Industrial Areas

95 %

Accuracy in Field Discrepancy Identification

850 k

Field TAGs Processed in <15 Days

rework

Between Field and 3D Model

uncertainty

in Material Procurement

Field-Proven at Industrial Scale

DRM has already supported large-scale industrial verification workflows across complex assets

31

Industrial Operations & Construction Sites Worldwide

16M+ m²

Inspected Industrial Areas

95 %

Accuracy in Field Discrepancy Identification

850 k

Field TAGs Processed in <15 Days

rework

Between Field and 3D Model

uncertainty

in Material Procurement

Ready to manege

EPC with ease

Schedule a demo and discover how Vidya helps EPCs and project owners reduce uncertainty before it impacts cost, schedule and execution.

During the session, we will:

  • Understand your project challenges

  • Review your current site validation process

  • Demonstrate DRM capabilities

  • Explore opportunities to reduce rework

  • Identify a pilot use case

Go to Top