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allaiz
Reality Intelligence

The sensory system of project intelligence.

Every allaiz reality product operates in the field today — and every deployment feeds the engineering knowledge base. This is how the platform stays grounded in captured site reality rather than documents alone.

See the Track Record
The Capture Stack

Owned end to end.

Hardware and AI under one roof — no dependency on third-party capture, full control of cost, quality, and cadence.

Owned
LiDAR Scanner

Centimeter-accurate point clouds for surveying, volumes, and as-builts.

Owned
3D Camera / VR

Immersive 360° capture for virtual tours and digital twins.

Owned
GoPro Field Video

Continuous, low-cost capture from vehicles and site walks.

Owned
AI Vision Engine

In-house computer vision converting capture into engineering data.

Owning the stack means owning the flywheel: allaiz can capture projects at higher frequency, lower marginal cost — and every capture makes the platform smarter.

In the Field
High-resolution LiDAR terrain mesh produced by allaiz surveying
High-Resolution LiDAR Surveying

Dense 3D evidence for volumes, quantities, progress, and as-builts — with 21.7× more point samples than traditional surveying in a showcased comparison.

Digital twin floor plan generated from allaiz 360° capture
360° Virtual Tours & Digital Twins

Immersive as-builts, BIM-ready documentation, and owner handover. A developer using our twins reported a 50% uplift in conversion.

AI pavement condition map with distress severity layers on a GIS basemap
AI Pavement Assessment

Ordinary field video converted into mapped, prioritized condition data — distress detection, severity layers, and maintenance prioritization.

The Full Sensory Layer

Every capture feeds the knowledge base.

Video-to-GIS condition mapping

Field video geolocated and converted into layered condition data on a GIS basemap — network-scale insight from a vehicle-mounted camera.

Progress & quantity verification

Captured site state compared against schedule and payment applications — measured volumes and verified progress, zone by zone.

GoPro / field video capture

Continuous low-cost capture from site walks and vehicles — raising capture frequency without raising capture cost.

In-house AI vision engine

The computer vision layer that turns raw capture into engineering data — built, trained, and improved in-house.

Put the capture stack on your site.

Live project collaboration is one of the three pillars of the allaiz pilot — joint capture deployment on selected ongoing projects.