SCANTIX Investor Pitch Deck
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95%of construction data goes unused¹30%of project time is lost in rework and delays³$1.8Tlost annualy in the constructionindustry due to inefficiencies²1Autodesk - Construction Disconnected Report (2020)2McKinsey & Company – Reinventing Construction:A Route to Higher Productivity (2017)3FMI – Global Construction Survey (2023)
SCANTIXOriginal construction capture illustrationOriginal construction capture illustrationOriginal construction capture illustration02Data isn‘t the problemConsistency isConstruction sites are documentedInconsistently and in different ways.The result: no reliable source, no timeline, no clarity.NO CONSISTENT CAPTUREPerson CBlurry imagesPerson BMisses areasPerson ARandom AnglesThe ProblemMarket MovementOur SolutionTimelineTeamCapital AskAutomationData LayerProject ViewBuild So Far
10-20 minscan timeper route90%smaller data sizeAny deviceaccess your site fromanywhere, anytimeFastprocessing and upload
SCANTIX
Original N.E.X robot render
N.E.X 1.0
Consistent captureEvery single day04Our N.E.X One autonomously navigates your site, captures 3D model the same way, every-time,creating a reliable day-by-day visual record you can trust.The ProblemMarket MovementOur SolutionTimelineTeamCapital AskAutomationData LayerProject ViewBuild So FarREPEATEXTRACTEXPLORENAVIGATE1234
Original workflow equipment photographThe robot returns to its dock for charging and transfers the data without manual upload.
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Original building model in the processing pipeline
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Original architectural point-cloud render
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Original architectural point-cloud render
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Original building model in the processing pipeline
The system turns raw capture data into a usable 3D result automatically on the server
Original workflow equipment photographThe team opens the finished scan, checks what changed and marks areas that need action!
SCANTIX
Automation andProcessing06The ProblemMarket MovementOur SolutionTimelineTeamCapital AskAutomationData LayerProject ViewBuild So Far
Original robot capture photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Construction dataset photograph
Local changed-zone photograph
Local changed-zone photograph
Local changed-zone photograph
Original construction Gaussian model
Each scan creates a new image dataset.Moving in a similar route capturing the site.AI comparing the new dataset with the baseline.Isolating the changed zones.Send only new images for retraining.New local Gaussian patch is trained.The updated patch is stitched back into the original Gaussian Splat model.CAPTUREDATASETFILTERINGLOCAL RETRAININGUPDATE 3D MODEL
SCANTIXIt only works if the data stays light08high-frequency site capture is only possible if you keep everything as lightweight as possible. Cutting unnecessary data early, training only specific areas, and updating the 3D model with small local patches.The ProblemMarket MovementOur SolutionTimelineTeamCapital AskAutomationData LayerProject ViewBuild So Far
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MarketGermany, Austria, Switzerland

~€540mModelled annual opportunity
100Sites at scale
€6.0mARR
1.1%Of modelled market
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Growth2027-2030

Year-end ARR targets

Active sites361230

Upside 2030: 50 sites / €3m ARR

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Deployment roadmapQ4 2026 and beyond

Now: fundraising. Future milestones are targets after funding close.

1

Q4 2026

Fundraising

Raise €750k
Agree pilot scope

2

Funding close

Pre-seed
secured

Confirm team
and build plan

3

Months 0-3

Stable
prototype

Integrate capture,
upload and 3DGS

4

Months 3-6

Construction
site pilots

Test reliability
on active sites

5

Months 6-9

AI detection
and first revenue

Validate AI issues
with paid pilot sites

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Months 9-12

Repeatable
rollout

Standardize setup
for additional sites

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Get in touch with us!www.scantix.definn.rothmann@scantix.descantix_roboticsLook behind the scenes!
SCANTIXOriginal robot renderJoin us in defining howconstruction is documented