AI Review Layer

for Construction Documents

A new intelligence layer for construction coordination - detect inconsistencies in 2D drawings today,

and turn every review decision into reusable project memory.

The platform

Detect today. Remember tomorrow.

ClashVision grows from a review engine into the firm’s design-decision memory — value that compounds the longer you use it.

Icon of concentric circles representing a target

Detect

AI-assisted review identifies potential inconsistencies in 2D drawings.Marked-up PDFs and issue reports help surface coordination risks early.

Today

Icon of an abstract globe

Structure

Every comment, change, and decision becomes a structured issue with full context and revision history.

In collaboration

Icon of an arrow pointing up right

Remember

A searchable decision history enables teams to revisit and reuse past review decisions across revisions and projects.

With scaling / future

Early Prototype Preview

See coordination issues

before they become problems.

Compare drawings, highlight potential conflicts, and review them in a structured view — exportable as a marked-up PDF.

Software dashboard showing sustainability metrics including energy use, emissions trend, and goal progress

*This is an early prototype. Features and outputs may change during development.

ClashVision supports coordination and surfaces potential issues for review. It does not replace licensed professionals, and all final approvals must be made by qualified architects and engineers.

Built with privacy-by-design principles and GDPR-aligned data handling. Users retain full ownership of their data and outputs.

Supported by

How it works

From manual checking to AI-assisted review.

Every change, comment, and decision becomes traceable in a single workflow.

①

Upload

Upload your 2D drawings — PNG, JPEG, or PDF.

②

AI Review

AI-assisted analysis identifies potential inconsistencies and coordination issues in drawings.

③

Issue Structuring

Findings are turned into structured, traceable issues with full context and history.

④

Review Timeline

All decisions are stored in a searchable timeline across revisions and project stages.

Supporting capabilities

  • Icon of an arrow pointing up right

    Detect inconsistencies

    AI-assisted review helps surface issues that manual checks may miss.

  • Icon of an arrow pointing up right

    Structure findings

    Transform review comments into traceable issues instead of scattered feedback.

  • Icon of an arrow pointing up right

    Preserve decisions

    Maintain design rationale across revisions for future reuse and reference.

Problem

Reviewing design changes

by hand quietly overloads your team.

Too much manual review

Continuous cross-checking across drawings, disciplines and phases pulls PMs and architects away from the decisions only they can make.

Decisions get lost

Change rationale lives in markups, inboxes and meeting notes — so the same questions get re-asked and the same items re-opened.

44%

average cost overrun on public building

projects in Germany

Sources: Hertie School of Governance, Großprojekte in Deutschland (170 projects) — public-building cost overruns avg. 44%; small/mid projects 78% / 59%; overruns originate largely in the planning phase. Construction Industry Institute (CII) — rework ≈ 5% of project cost (range 2–20%); PlanGrid/FMI (2018) — most rework tied to poor communication & missing information.

Impact

Lighter review,

lower public cost,

restored trust.

Catching inconsistencies before construction frees your team from manual cross-checking — and reduces the rework, public cost and lost trust that come with missed changes.

UI card displaying energy consumption data on a light fabric background
UI card displaying energy consumption data on a light fabric background

Public building projects

44%

Hertie School, DE

avg. over budget ↓

  • Lighter workload

    01

  • Automated cross-checking lifts the manual review burden off project managers and architects, so senior time goes to judgment, not line-by-line checking.

  • Public value

    02

  • Catching changes in the planning phase — where most overruns begin — means fewer additional orders, lower public cost, and a searchable record that makes decisions auditable.

  • Less waste

    03

  • Fewer rework cycles mean less material waste and embodied carbon, in a sector responsible for about 37% of global CO₂ emissions.

Become a pilot partner

or Get an early access

tech

data

EU-first

earth

AI Review Layer

for Construction Documents

A new intelligence layer for construction coordination

- detect inconsistencies in 2D drawings today,

and turn every review decision into reusable project memory.

The platform

Detect today. Remember tomorrow.

ClashVision grows from a review engine into the firm’s design-decision memory — value that compounds the longer you use it.

Icon of concentric circles representing a target

Detect

AI-assisted review identifies potential inconsistencies in 2D drawings.Marked-up PDFs and issue reports help surface coordination risks early.

Today

Icon of an abstract globe

Structure

Every comment, change, and decision becomes a structured issue with full context and revision history.

In collaboration

Icon of an arrow pointing up right

Remember

A searchable decision history enables teams to revisit and reuse past review decisions across revisions and projects.

With scaling / future

Early Prototype Preview

See coordination issues

before they become problems.

Compare drawings, highlight potential conflicts, and review them in a structured view — exportable as a marked-up PDF.

Software dashboard showing sustainability metrics including energy use, emissions trend, and goal progress

*This is an early prototype. Features and outputs may change during development.

ClashVision supports coordination and surfaces potential issues for review. It does not replace licensed professionals, and all final approvals must be made by qualified architects and engineers.

Built with privacy-by-design principles and GDPR-aligned data handling. Users retain full ownership of their data and outputs.

Supported by

How it works

From manual checking to

AI-assisted review.

Every change, comment, and decision becomes traceable in a single workflow.

①

Upload

Upload your 2D drawings — PNG, JPEG, or PDF.

②

AI Review

AI-assisted analysis identifies potential inconsistencies and coordination issues in drawings.

③

Issue Structuring

Findings are turned into structured, traceable issues with full context and history.

④

Review Timeline

All decisions are stored in a searchable timeline across revisions and project stages.

Supporting capabilities

  • Icon of an arrow pointing up right

    Detect inconsistencies

    AI-assisted review helps surface issues that manual checks may miss.

  • Icon of an arrow pointing up right

    Structure findings

    Transform review comments into traceable issues instead of scattered feedback.

  • Icon of an arrow pointing up right

    Preserve decisions

    Maintain design rationale across revisions for future reuse and reference.

Problem

Reviewing design changes

by hand quietly overloads your team.

Too much manual review

Continuous cross-checking across drawings, disciplines and phases pulls PMs and architects away from the decisions only they can make.

Decisions get lost

Change rationale lives in markups, inboxes and meeting notes — so the same questions get re-asked and the same items re-opened.

44%

average cost overrun on public building

projects in Germany

Sources: Hertie School of Governance, Großprojekte in Deutschland (170 projects) — public-building cost overruns avg. 44%; small/mid projects 78% / 59%; overruns originate largely in the planning phase. Construction Industry Institute (CII) — rework ≈ 5% of project cost (range 2–20%); PlanGrid/FMI (2018) — most rework tied to poor communication & missing information.

Impact

Lighter review, lower public cost,

restored trust.

Catching inconsistencies before construction frees your team from manual cross-checking — and reduces the rework, public cost and lost trust that come with missed changes.

Public building projects

44%

Hertie School, DE

avg. over budget ↓

  • Lighter workload

    01

  • Automated cross-checking lifts the manual review burden off project managers and architects, so senior time goes to judgment, not line-by-line checking.

  • Public value

    02

  • Catching changes in the planning phase — where most overruns begin — means fewer additional orders, lower public cost, and a searchable record that makes decisions auditable.

  • Less waste

    03

  • Fewer rework cycles mean less material waste and embodied carbon, in a sector responsible for about 37% of global CO₂ emissions.

Become a pilot partner

or Get an early access

tech

data

EU-first

earth

AI Review Layer

for Construction Documents

A new intelligence layer for construction coordination

- detect inconsistencies in 2D drawings today,

and turn every review decision into reusable project memory.

The platform

Detect today. Remember tomorrow.

ClashVision grows from a review engine into the firm’s design-decision memory — value that compounds the longer you use it.

Icon of concentric circles representing a target

Detect

AI-assisted review identifies potential inconsistencies in 2D drawings.Marked-up PDFs and issue reports help surface coordination risks early.

Today

Icon of an abstract globe

Structure

Every comment, change, and decision becomes a structured issue with full context and revision history.

In collaboration

Icon of an arrow pointing up right

Remember

A searchable decision history enables teams to revisit and reuse past review decisions across revisions and projects.

With scaling / future

Early Prototype Preview

See coordination issues

before they become problems.

Compare drawings, highlight potential conflicts, and review them in a structured view — exportable as a marked-up PDF.

Software dashboard showing sustainability metrics including energy use, emissions trend, and goal progress

*This is an early prototype. Features and outputs may change during development.

ClashVision supports coordination and surfaces potential issues for review. It does not replace licensed professionals, and all final approvals must be made by qualified architects and engineers.

Built with privacy-by-design principles and GDPR-aligned data handling. Users retain full ownership of their data and outputs.

Supported by

How it works

From manual checking to

AI-assisted review.

Every change, comment, and decision becomes traceable in a single workflow.

①

Upload

Upload your 2D drawings — PNG, JPEG, or PDF.

②

AI Review

AI-assisted analysis identifies potential inconsistencies and coordination issues in drawings.

③

Issue Structuring

Findings are turned into structured, traceable issues with full context and history.

④

Review Timeline

All decisions are stored in a searchable timeline across revisions and project stages.

Supporting capabilities

  • Icon of an arrow pointing up right

    Detect inconsistencies

    AI-assisted review helps surface issues that manual checks may miss.

  • Icon of an arrow pointing up right

    Structure findings

    Transform review comments into traceable issues instead of scattered feedback.

  • Icon of an arrow pointing up right

    Preserve decisions

    Maintain design rationale across revisions for future reuse and reference.

Problem

Reviewing design changes

by hand quietly overloads your team.

Sources: Hertie School of Governance, Großprojekte in Deutschland (170 projects) — public-building cost overruns avg. 44%; small/mid projects 78% / 59%; overruns originate largely in the planning phase. Construction Industry Institute (CII) — rework ≈ 5% of project cost (range 2–20%); PlanGrid/FMI (2018) — most rework tied to poor communication & missing information.

Too much manual review

Continuous cross-checking across drawings, disciplines and phases pulls PMs and architects away from the decisions only they can make.

Decisions get lost

Change rationale lives in markups, inboxes and meeting notes — so the same questions get re-asked and the same items re-opened.

44%

average cost overrun on public building

projects in Germany

Impact

Lighter review, lower public cost,

restored trust.

Catching inconsistencies before construction frees your team from manual cross-checking — and reduces the rework, public cost and lost trust that come with missed changes.

UI card displaying energy consumption data on a light fabric background
UI card displaying energy consumption data on a light fabric background

Public building projects

44%

Hertie School, DE

avg. over budget ↓

  • Lighter workload

    01

  • Automated cross-checking lifts the manual review burden off project managers and architects, so senior time goes to judgment, not line-by-line checking.

  • Public value

    02

  • Catching changes in the planning phase — where most overruns begin — means fewer additional orders, lower public cost, and a searchable record that makes decisions auditable.

  • Less waste

    03

  • Fewer rework cycles mean less material waste and embodied carbon, in a sector responsible for about 37% of global CO₂ emissions.

Become a pilot partner

or Get an early access

tech

data

EU-first

earth