neARabl

Smartphone-based spatial AI for construction site scanning, BIM verification, and indoor navigation

neARabl turns a standard smartphone into a claimed sub-30mm-accuracy 3D scanner, using proprietary computer vision to compare daily site scans against BIM/MEP models and flag deviations. Spun out of a CUNY indoor-navigation research lab, the company pivoted from accessibility-focused wayfinding toward construction progress verification, and its current homepage messaging signals further expansion into defense and shipbuilding infrastructure.

~$1.7M reported from Innovestor (VC) and angel investor John Ason, plus a $275,000 NSF STTR Phase I award (2024); figures drawn from secondary press coverage, not an independently verified funding announcement raisedEarly Stage

Founded 2021 · Reported deployment on 5 job sites as of 2023 press coverage (primarily New York City, with Western U.S. and international expansion planned); 1-10 employees per ZoomInfo. No named enterprise customers, exact total customer count, or defense/shipbuilding contracts publicly disclosed as of this research date, despite the current homepage tagline referencing those verticals

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WHY IT EXISTS

Why This Tool Exists

The Problem

Verifying that as-built construction matches BIM/MEP design intent typically requires professional laser scanners or manual walkthroughs, which are slow and expensive, and deviations are often discovered only after they compound into costly rework. Field teams on active construction and infrastructure sites also lack a cheap way to record accurate indoor paths, points of interest, and hidden MEP routing for navigation, evacuation planning, and trade coordination.

The Solution

neARabl's mobile app uses a smartphone's built-in depth sensor, IMU, and camera with proprietary computer-vision processing to capture site scans, then compares them against BIM/MEP models to flag deviations, clashes, and change orders. The same underlying spatial-mapping technology — originally developed and patented for indoor navigation — also powers real-time wayfinding/evacuation routing and a mixed-reality "see behind the wall" view of MEP systems, with results syncable to Bentley Systems' iTwin digital twin platform.

USAGE

How You Use It

Delivery Method

Mobile AppWeb ARSaaS

Integrations

Bentley iTwin (official "Powered by iTwin" Premier Partner since October 2022)

Disciplines

Construction, Architecture, Mep Engineering, Facility Management

Workflows

Data & Automation, Operations & Facility Management

Project Phases

Construction Administration, Operations/FM

Project Types

Commercial, Infrastructure, Institutional

TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input

What it needs

Required:Smartphone camera/depth-sensor/IMU scan of a physical space, BIM or MEP model for comparison

Optional:Project schedule, Existing floor plans/points of interest

Formats:iOS mobile scan capture, IFC and other formats via Bentley iTwin sync, QR-code-triggered WebAR (no app download)

Output

What you get

Format:Mobile/web AR visualization plus deviation and progress reports synced to Bentley iTwin

Fields:As-built vs. BIM deviation measurements, Clash/change-order flags, Indoor navigation paths and points of interest, MEP overlay ("see behind the wall") data, Task/progress status

Algorithm

How it works

Model:Proprietary computer vision and mixed-reality algorithms; exclusively licensed from a patented "System and Method for Real-Time Indoor Navigation" (developed at the CUNY Computational Vision and Convergence Laboratory). A 2024 NSF STTR Phase I award describes an "attention-based modeling and reconstruction mechanism" for dynamic 4D (3D + time) indoor mapping. No specific model architecture is publicly disclosed.

Accuracy:Company claims (2025) sub-30mm "engineering-grade" scan accuracy from standard mobile devices, said to match professional laser scanners; an earlier navigation-focused claim cited accuracy "within 1 centimeter" (CCNY case study). Neither claim is backed by a published independent benchmark.

Privacy

How your data is protected

Retention:Not publicly specified — no accessible privacy policy was found; the site's /privacy-policy and /terms-of-use pages returned 404 as of this research date

Training:Not publicly specified

Compliance:No SOC 2, GDPR, or other compliance certification publicly disclosed, Underlying technology was developed with U.S. federal research funding (NSF, and per company materials, Air Force Research Laboratory and Dept. of Homeland Security support) — this reflects R&D funding sources, not a data-security certification

API

Integration

Endpoint:Contact vendor for API access

Method:Not publicly documented

USE CASES

Use Cases

·Daily mobile-device site scans compared against BIM/MEP models to flag deviations before rework compounds
·Real-time indoor wayfinding and digital signage for large infrastructure sites
·"See behind the wall" mixed-reality visualization of MEP systems so trades avoid drilling/cutting into hidden infrastructure
·Emergency evacuation routing and first-responder indoor navigation
·Digital twin field verification via Bentley iTwin integration (edit work orders from iTwin data, view on-site via mobile AR)

PRICING

Pricing

Free

Not publicly specified — no self-serve free tier found for the current product

Pro

Not publicly specified for the current Infrastructure/Spatial AI product; an earlier AR-wayfinding product line was reported at $300/month (Standard plan) in 2022 (Architosh) — likely outdated given the company's subsequent pivot

Enterprise

Contact vendor; an earlier white-label wayfinding plan was reported at $3,000/month (2022, Architosh) — not confirmed for the current product

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

Data Sources (8)

Verified Data (9)

solution (core scanning + navigation mechanics), deliveryMethod, integrations (Bentley iTwin), yearFounded, founders, headquarters, algorithm-approach (NSF STTR abstract), useCases, academic/CUNY origin

Not Found (9)

current pricing, api-documentation, independent accuracy benchmark, compliance certification, privacy policy (404 on site), exact customer count, AI training data policy, defense/shipbuilding named customers or contracts, fundingTotal (only secondary-source figures found, not a primary funding announcement)

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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