Naska.AI

AI-powered scan-to-BIM quality and progress verification for construction sites

Cloud platform (formerly Scaled Robotics) that compares laser-scan and mobile reality-capture data against BIM models and project schedules, using computer vision and machine learning to classify each element as within tolerance, out of tolerance, missing, or under construction.

~$3.3M (Crunchbase-reported); company history cites ~€3.5M across a 2016 pre-seed from PERI, a 2020 seed round led by Construct Venture and PropTech Fund Surplus, and a 2022 EU Horizon Europe grant raisedGrowth Stage

Founded 2016 · Enterprise construction clients including Morgan Sindall, Gammon Construction (Hong Kong), AF Gruppen, and a University of Birmingham construction project; deployed on major infrastructure work including a $1.5B Hong Kong mega-project. Exact customer count not publicly disclosed; ~21 employees per PitchBook (2024) — a long operating history (founded 2016) but a small team and modest disclosed funding relative to its age

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WHY IT EXISTS

Why This Tool Exists

The Problem

Construction quality managers and site teams manually walk floors with tape measures and checklists to verify installed work matches BIM design intent — a slow, subjective process where deviations (e.g., a mispositioned structural element) are often discovered weeks later, after they have compounded into costly rework.

The Solution

Naska.AI ingests point-cloud data from laser scanners or mobile devices, registers it against the BIM model using photogrammetry and geometric deep learning, then automatically classifies each element as within tolerance, out of tolerance, missing, or under construction. Results appear in a web-based 3D dashboard (built on Autodesk Forge Viewer) with deviation alerts and progress tracked against the schedule.

USAGE

How You Use It

Delivery Method

SaaSWeb Platform

Integrations

Autodesk Construction CloudAutodesk Platform Services (Forge Viewer, Model Derivative API)ReviztoFARO laser scannersLeica laser scannersZoller+Fröhlich laser scanners

Disciplines

Construction, Architecture, Structural Engineering, Mep Engineering

Workflows

Data & Automation

Project Phases

Construction Administration

Project Types

Commercial, Infrastructure, Education, Mixed-Use

TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input

What it needs

Required:3D point cloud / reality-capture scan data, BIM model, Project schedule

Optional:360-degree site photos, Per-element quality tolerance specifications

Formats:Point cloud data from FARO/Leica/Zoller+Fröhlich scanners, Mobile LiDAR scans, IFC, 60+ design formats via Autodesk Model Derivative API

Output

What you get

Format:Web-based 3D dashboard with element-level status tagging

Fields:Element status (within tolerance / out of tolerance / missing / under construction), Deviation measurements, 360-degree images and section drawings per element, Progress percentage against schedule, Critical-path risk flags

Algorithm

How it works

Model:Proprietary computer vision and machine learning (no named model publicly disclosed)

Accuracy:Vendor case study claims 100% validation of installed elements against spec on a University of Birmingham project (self-reported; no independent accuracy benchmark publicly available)

Privacy

How your data is protected

Retention:General privacy policy states data is retained "at least during the periods established by applicable legislation and during the validity of consent"; project reality-capture data retention terms not separately published

Training:Not publicly specified

Compliance:GDPR (stated in company privacy policy), SOC 2/ISO certifications not publicly disclosed

API

Integration

Endpoint:Contact vendor for API access

Method:Not publicly documented

USE CASES

Use Cases

·Automated as-built vs. BIM quality verification during construction
·Progress tracking against the project schedule with critical-path risk flags
·Early detection of installation deviations (e.g., mispositioned structural elements) before rework compounds
·Facade and MEP tolerance checking against design specifications
·Visual audit trail and dispute documentation for owner/GC/subcontractor coordination

PRICING

Pricing

Free

Not publicly specified — no self-serve free tier found; demo request required

Pro

Not publicly specified — custom quote

Enterprise

Custom pricing — contact vendor for a demo/quote

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Research Sources & Data QualityLast verified: 2026-07-17

Data Sources (10)

Verified Data (11)

problem, solution, deliveryMethod, integrations (Bentley iTwin), disciplines, projectPhases, yearFounded, founders, headquarters, algorithm-approach (NSF STTR abstract), useCases

Not Found (8)

pricing (current product), api-documentation, independent accuracy benchmark, SOC 2/GDPR/compliance certification, privacy policy (404 on site), exact customer count, AI training data policy, defense/shipbuilding named customers

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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