Skip to content

ABOUT INSPECH

Built to preserve professional road knowledge as networks change.


Inspech was created to help road organisations perform visual road condition assessment more frequently, consistently and transparently.


We use AI to support professional inspection practice—not to replace responsibility, established engineering methods or the systems that road organisations already rely on.

 

about-inspech

WHAT REMAINS CONSTANT    |    Professional judgement   .   Transparent workflows   .   Established engineering practice   .   Exportable evidence

WHAT INSPECH IS TODAY

Start with a professional visual assessment workflow.

The current platform connects road imagery, geographic context, AI assistance and inspector validation in one traceable process.

What-Inspech-is-today1What-Inspech-is-today2What-Inspech-is-today3What-Inspech-is-today4

CURRENT PRODUCT PROMISE
More scalable, consistent and traceable visual assessment—with inspectors in control.

WHY INSPECH EXISTS

The road keeps changing between formal survey cycles.

Detailed engineering surveys remain essential. Yet inspection teams also need practical ways to review recurring visual evidence, preserve professional context and maintain visibility into developing surface condition between those survey moments.

Inspech focuses on that information gap. It helps organisations process compatible imagery consistently and turn professional validation into a usable record—not an isolated inspection outcome.

Why-Inspech-exists

OUR VISION

Become a trusted source of Road Condition Intelligence.

Every recurring inspection creates knowledge: imagery, validated observations, context and evidence of how the network has changed. We are building Inspech so that this knowledge is preserved and becomes increasingly useful across future inspection, engineering and maintenance workflows.

WE BELIEVE
The future of road inspection is not simply better detection. It is maintaining a reliable understanding of how a road network changes over time.

inspech-vision

KNOWLEDGE WORTH PRESERVING

Every validated cycle adds context to the next.

The long-term value is not a proprietary prediction hidden in a model. It is a growing, traceable evidence base that professionals can inspect, interpret and use.

01



Imagery

A visual record of what was visible on the road at a defined moment.

02



Validated observations

Professional assessments rather than unreviewed AI outputs.

03



Context

Location, road section, method and inspection-cycle information.

03



Evidence of change

Where recurring cycles exist, a basis for comparing visible condition over time.

Recurring evidence     +     Professional validation     +     Historical context     =     Stronger network understanding

HOW WE BUILD

Principles that keep the ambition grounded.

Our direction is ambitious, but the operating principles remain practical and explicit.

01



Professional responsibility

Inspectors own assessments. Engineers and asset managers own the decisions that follow.

02



Transparent AI

Recommendations remain visible, reviewable and subordinate to professional judgement.

03



Engineering complement

Visual assessment works alongside LCMS, IRI, FWD, skid resistance and pavement expertise.

04



Traceable evidence

Imagery, location, findings and validation context stay connected.

05



Open system fit

Supported reports, geodata, exports and API resources help information move into existing workflows.

06



Measured ambition

We distinguish current product capability from the longer-term value recurring evidence can create.



COMPANY CREDIBILITY

Applied AI, pavement context and international field experience.

Use representative imagery, your applicable method, your inspectors and agreed governance criteria to determine whether Inspech is the right next step.

01 · Applied AI


Product expertise from BrainCreators.

Inspech draws on applied AI and product-development expertise built within BrainCreators, with a focus on using AI in professional operational workflows.


 

02 · Domain input


Connected to pavement practice.

Professional partners, including Unihorn, contribute pavement and inspection context that helps position visual assessment within broader engineering investigation.


 

03 · Project experience


Tested across different road contexts.

Project and market experience across public and private networks helps Inspech refine how the workflow fits different standards, teams and operating models.


 

04 · Professional commitment


Judgement stays with people.

Transparent workflows, standards, traceable evidence and exportable data remain central to how the platform is developed and positioned.


 

INTERNATIONAL PERSPECTIVE

Learning from road organisations across markets.

Road standards and operating models differ. The underlying need for consistent, professional and traceable visual evidence does not. International experience helps us separate what should be common from what must be configured locally.


01 - Netherlands
Road authorities, municipalities, concession and engineering contexts


02 - United Kingdom
Road-assessment workflow and PAS2161 readiness activity


03 - Australia
Road-authority and engineering project experience


04 - Malaysia
Road-network and delivery-partner experience


05 - Brazil
Concessionaire, standards and market-validation activity


 

WHAT WILL NOT CHANGE

Technology should strengthen professional practice—not obscure it.

AI assists
People remain responsible.


Visual evidence grows
Engineering measurements remain essential.


Information becomes reusable
Context and provenance stay visible.


Ambition expands
Claims remain tied to verified capability.

FROM VISION TO OPERATIONAL EVIDENCE

The best way to understand our direction is to validate today's workflow.

Use a representative route, compatible imagery, your applicable method and your professional inspectors to determine where Inspech creates value now—and what recurring use could build over time.

TWO WAYS TO CONTINUE

 

See what Inspech has supported in real inspection contexts.



 

Test the complete workflow within a defined operating scope.