QBOID

Cover Block

PUBLIC

Attribute	Value
Name	QBOID
Tagline	Handheld and mobile dimensioning systems for parcels and pallets using 3D computer vision for logistics and warehousing.
Headquarters	San Jose, United States
Founded	2018
Stage	Seed
Business Model	Hardware + Software
Industry	Logistics / Supply Chain
Technology	AI / Machine Learning
Geography	North America
Funding Label	Undisclosed (total disclosed ~$1,000,000)

Links

PUBLIC

• Website: https://qboid.ai/
• LinkedIn: https://www.linkedin.com/company/qboid
• Store: https://store.qboid.ai/

Executive Summary

PUBLIC QBOID offers a mobile, handheld alternative to the static dimensioning tunnels and large scanners that have defined parcel and pallet measurement in logistics for years. The company's flagship M2 Perceptor device combines off-the-shelf 3D sensors from partners like Orbbec with proprietary computer vision algorithms on an Android platform, aiming to automate a manual, error-prone task for warehouses and third-party logistics providers [QBOID, retrieved 2026]; [Orbbec, retrieved 2026]. Founded in 2018, the San Jose-based startup appears to have been seeded with approximately $1 million, though the round's details and the identities of its founders remain outside public view [Crunchbase, retrieved 2024]. The product's wedge is its portability and lower cost of entry compared to fixed infrastructure, a positioning the company reinforced by showcasing what it called the first truly mobile, handheld dimensioning solution at a major supply chain event [Supply Chain 24/7, retrieved 2025]. Public records name Bin An as CEO, who also serves as a managing partner at Binux Capital, suggesting the initial funding may have originated from that entity [Crunchbase, retrieved 2024]; [Crunchbase, retrieved 2026]. The business model is hardware plus software, with the M2 available for direct purchase and through a one-month rental evaluation program [QBOID Store, retrieved 2024]; [QBOID Store, retrieved 2026]. Over the next 12-18 months, the critical watchpoints will be whether QBOID can convert its early distributor partnerships in markets like Italy into named enterprise customer deployments, and if it can secure additional capital to scale beyond its initial seed funding.

Data Accuracy: YELLOW -- Core product claims are well-documented, but key company details like founding team and full funding history rely on a single source.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	Hardware + Software
Industry / Vertical	Logistics / Supply Chain
Technology Type	AI / Machine Learning
Geography	North America
Funding	Undisclosed (total disclosed ~$1,000,000)

Company Overview

PUBLIC

QBOID was founded in 2018 and is based in San Jose, California, where it operates as a logistics technology company focused on mobile dimensioning hardware [Crunchbase, retrieved 2024]. The company's public narrative positions its flagship product, the M2 Mobile Dimensioner, as the first handheld solution of its kind, a claim it has used to anchor its market presence since at least 2023 [Explorium, 2023].

Key operational milestones are inferred from product and partnership announcements rather than formal press releases. The company's M2 Perceptor device became commercially available, supported by a rental program for evaluation [QBOID Store, retrieved 2026]. QBOID has also established integration and distribution partnerships, including a technical collaboration with 3D sensor manufacturer Orbbec and a listing on the SOTI enterprise mobility marketplace [Orbbec, retrieved 2026] [SOTI Marketplace].

Data Accuracy: YELLOW -- Company founding and location are confirmed by Crunchbase; product and partnership claims are sourced from the company's own channels and partner sites.

Product and Technology

MIXED

The company's core proposition is a handheld alternative to the fixed dimensioning tunnels common in high-volume logistics centers. QBOID's flagship product, the M2 Mobile Dimensioner (also marketed as the M2 Perceptor), is a purpose-built Android device that combines off-the-shelf components with proprietary software to capture the dimensions of parcels and pallets [QBOID, retrieved 2026]. The hardware integrates a Zebra barcode scan engine, a Qualcomm 660 smartphone platform, and, critically, a 3D imaging sensor suite sourced from Orbbec [Orbbec, retrieved 2026]. This sensor package, specifically the Astra Mini Pro, provides the depth quality needed for repeatable measurements in a mobile form factor.

Its software layer is where the proprietary wedge lies. The device runs Android 10 and uses computer vision algorithms to process the 3D and 2D sensor data, instantly calculating length, width, and height, and identifying irregular shapes [Perplexity Sonar Pro Brief, retrieved 2024]. The user experience is designed for simplicity: a user looks down at an item on a video preview, and the system highlights the target; pressing a 'DIM' button captures the cube dimensions and an image [QBOID.it, retrieved 2026]. The company offers dedicated apps for both parcel and pallet workflows, and supports a one-month rental program for evaluation [QBOID Store, retrieved 2026].

Beyond the handheld unit, QBOID offers the S1 accessory (function unspecified) and related calibration and optimization software [Perplexity Sonar Pro Brief, retrieved 2024]. The product is available for direct purchase and is positioned to integrate into existing warehouse management systems for tasks like put-away, picking, and shipping rate calculation, aiming to replace manual tape measures [QBOID, retrieved 2026].

Data Accuracy: YELLOW -- Product details are consistently described across the company's own channels and partner listings, but third-party technical validation is absent.

Market Research

PUBLIC The drive for warehouse automation, accelerated by labor constraints and e-commerce volume, is creating a specific demand for tools that digitize manual, error-prone tasks like measuring parcels and pallets. QBOID's market is a niche within the broader logistics automation and industrial vision sector, focused on replacing tape measures and static scanners with mobile, computer-vision-based dimensioning.

A precise TAM for handheld mobile dimensioning is not publicly available from third-party reports. The company operates within the larger automated data capture and dimensioning market. For context, the global market for dimensioning systems was valued at approximately $1.2 billion in 2022 and is projected to grow at a compound annual rate of 8.5% through 2030, according to a Grand View Research report [Grand View Research, 2023]. The adjacent market for warehouse automation solutions, which includes conveyors, sorters, and robotics, is significantly larger, estimated at over $15 billion in 2022 with growth forecasts above 14% annually [LogisticsIQ, 2023]. These analogous markets illustrate the scale of the operational efficiency trend QBOID is targeting.

Demand is anchored in several persistent industry pressures. Labor availability and cost remain primary concerns for logistics operators, making automation of manual measurement a clear target for ROI calculations. The growth of e-commerce and omnichannel retail continues to increase parcel volume and the variety of item shapes, complicating manual processes and storage optimization. Furthermore, accurate dimensional weight (DIM) data is critical for carrier rate calculations and shipping cost recovery, creating a direct financial incentive for precise, automated capture.

Key adjacent markets include fixed dimensioning systems, often integrated into conveyor lines, and the broader ecosystem of warehouse management systems (WMS) and transportation management systems (TMS) where dimension data is consumed. Regulatory forces are minimal, though data privacy considerations for captured images may apply in certain jurisdictions. A significant macro force is the continued investment in supply chain technology, with venture capital and corporate spending prioritizing solutions that promise rapid payback and integration with existing mobile device fleets, a trend that favors QBOID's Android-based hardware approach.

Dimensioning Systems Market (2022) | 1200 | $M
Warehouse Automation Market (2022) | 15000 | $M

The sizing data, while analogous, underscores the opportunity: QBOID's specific product category sits within a growing but more focused segment of a much larger automation spend. Success depends on capturing share from manual methods and convincing operators to choose a mobile solution over fixed infrastructure.

Data Accuracy: YELLOW -- Market sizing is drawn from analogous, third-party industry reports. The specific TAM for QBOID's handheld niche is not independently verified.

Competitive Landscape

MIXED QBOID positions itself as a mobile-first challenger to static, infrastructure-heavy dimensioning systems that dominate warehouse and logistics hubs.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
QBOID	Handheld mobile dimensioner for parcels & pallets	Seed (est. 2018) / ~$1M	Android-based handheld form factor; integrates 3D vision sensors (ToF, structured light) and barcode scanning in a single mobile device.	[QBOID, 2024]; [Crunchbase, 2024]
Rice Lake Weighing Systems	Broad industrial weighing & dimensioning solutions	Established / Private	Full-stack provider of static dimensioning systems, scales, and industrial automation; deep channel and service network.	[Company Website]
Kanawha Scales & System	Systems integrator for weighing & dimensioning	Established / Private	Focus on integration and custom solutions for material handling; partners with multiple hardware OEMs.	[Company Website]
Champtek Incorporated	Manufacturer of dimensioning & cubing systems	Established / Private	Producer of static and mobile dimensioning tunnels and systems for logistics and postal applications.	[Company Website]

The competitive map in parcel and pallet dimensioning is segmented by form factor and deployment model. Incumbent providers like Rice Lake and Champtek typically offer static, conveyor-integrated dimensioning tunnels or large mobile carts. These systems are designed for high-volume, fixed scanning points in distribution centers, where they provide high throughput and are often bundled with weighing scales and sortation software. The adjacent substitute category includes manual processes and legacy tools like tape measures, which remain prevalent in small to mid-sized warehouses due to their zero upfront cost, despite the labor inefficiency and error rates QBOID targets.

QBOID's current defensible edge is its product architecture: a purpose-built Android handheld that consolidates 3D sensing, barcode scanning, and computing into a single, portable unit. This is enabled by partnerships with component suppliers like Orbbec for depth sensors and Zebra for scan engines [Orbbec, 2026]. The edge is durable only if the company can maintain its integration lead and software optimization for the handheld use case, which requires continuous refinement of proprietary vision algorithms. However, this edge is perishable if larger mobile computer manufacturers (e.g., Zebra, Honeywell) decide to embed similar 3D sensing capabilities into their next-generation rugged devices, effectively bundling the functionality.

The company is most exposed in channels and scale. Competitors like Rice Lake and Kanawha have entrenched sales relationships with large logistics operators and systems integrators, offering full solutions that include service, support, and integration with warehouse management systems. QBOID, by contrast, appears to rely on direct online sales and select distributor partnerships (e.g., iMAGE S in Italy) [iMAGE S]. Without a robust channel strategy, penetrating large enterprise accounts that prefer single-source vendors for mission-critical equipment will be challenging. Furthermore, the company has no publicly disclosed traction with major parcel carriers or 3PLs, which are the primary economic buyers for automated dimensioning at scale.

The most plausible 18-month scenario involves continued niche adoption among mid-market 3PLs and warehouses seeking a low-footprint, mobile solution for audit checks and mixed handling environments. The winner in this scenario is QBOID if it can prove a compelling return on investment through its rental program and secure a handful of referenceable mid-sized customers [QBOID Store, 2026]. The loser is QBOID if a well-funded startup or an incumbent launches a comparable handheld device with superior channel access and brand recognition, rendering QBOID's hardware advantage moot and squeezing its already thin margins in a price-sensitive hardware segment.

Data Accuracy: YELLOW -- Competitor identification is based on structured data; positioning and differentiators for QBOID are confirmed by company sources, while details for named competitors are inferred from public company profiles.

Opportunity

PUBLIC The prize for QBOID is a fundamental shift in how logistics data is captured, moving from fixed, capital-intensive infrastructure to a mobile-first standard.

The headline opportunity is for QBOID to become the default handheld dimensioning platform for mid-market logistics and 3PLs. This outcome is reachable because the company has already defined the category with a shipping product, the M2 Perceptor, described as the industry's first handheld mobile dimensioner [QBOID, retrieved 2026]. The cited evidence points to a clear wedge: warehouses and shipping operations need accurate dimension data for storage and freight billing but are constrained by the cost and inflexibility of static tunnels. QBOID's mobile, Android-based device offers a lower-cost, easily integrated alternative that can be deployed anywhere in a facility [QBOID, retrieved 2024]. By solving the initial pain point of manual measurement, the company establishes a beachhead for capturing a broader set of volumetric and visual data across the supply chain.

Growth from this beachhead could follow several concrete paths. The following scenarios outline plausible routes to scale.

Scenario	What happens	Catalyst	Why it's plausible
Embedded OEM Play	QBOID's 3D sensing and software stack becomes a white-label component for larger warehouse automation and WMS providers.	A formal partnership with a major player like Zebra or Honeywell, whose scan engine is already integrated into the M2 [Perplexity Sonar Pro Brief, retrieved 2024].	The company's integration with Orbbec's Astra Mini Pro demonstrates an existing partnership model for core components [Orbbec, retrieved 2026]. The product's modular Android platform is designed for integration.
International Distribution Roll-up	The company scales through a network of regional distributors, replicating its early footprint in Italy.	Securing a master distributor in a key logistics hub like the EU or APAC, similar to its listing with Italian distributor iMAGE S [iMAGE S].	The product is already marketed through third-party marketplaces like SOTI's, indicating an existing channel strategy [SOTI Marketplace]. The hardware-software model is conducive to a distributor-led sales motion.

Compounding for QBOID would manifest as a data and distribution lock-in. Each device deployed generates a stream of dimension and shape data. Proprietary vision algorithms trained on this expanding dataset could improve measurement accuracy for irregular items, creating a performance moat over generic hardware [QBOID, retrieved 2024]. Furthermore, integration into a customer's warehouse management system (WMS) creates switching costs. The company's partnership with Paccurate (cited in the private candid take) hints at this flywheel beginning: dimension data captured by QBOID's device can directly optimize packing decisions in downstream software, increasing the value of the captured data.

The size of the win can be framed by looking at the market for dimensioning solutions. While a specific TAM is not publicly cited for QBOID, the broader automated data capture market for logistics is substantial. A credible comparable is the trajectory of companies like Zebra Technologies, which has built a multi-billion dollar market cap partly on mobile data capture devices. If QBOID successfully executes the embedded OEM scenario and captures even a single-digit percentage of the mobile dimensioning hardware market for mid-market logistics, the outcome could reach a valuation in the high hundreds of millions. This is a scenario, not a forecast, based on the premise of the company defining and leading a new, mobile sub-category within a large, established market.

Data Accuracy: YELLOW -- Opportunity scenarios are extrapolated from product claims and partnership evidence; market size and comparables lack specific, independent sizing reports.

Sources

PUBLIC

1. [QBOID, retrieved 2026] Fast & Accurate Parcel & Pallet Dimensioning | https://qboid.ai/

2. [Orbbec, retrieved 2026] QBOID Handheld Dimensioning with Orbbec | https://www.orbbec.com/case-studies/handheld-accuracy-from-parcel-to-pallet-qboid-orbbec-in-action-faster-throughput-cleaner-data/

3. [Crunchbase, retrieved 2024] QBOID - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/qboid

4. [Supply Chain 24/7, retrieved 2025] QBOID Showcases Handheld Dimensioning Solution | https://www.supplychain247.com/article/qboid_showcases_handheld_dimensioning_solution

5. [Crunchbase, retrieved 2026] Binux Capital - Crunchbase Investor Profile & Investments | https://www.crunchbase.com/organization/binux-capital

6. [QBOID Store, retrieved 2024] QBOID Store | https://store.qboid.ai/

7. [QBOID Store, retrieved 2026] QBOID Store Rental Program | https://store.qboid.ai/

8. [Explorium, 2023] QBOID Overview | https://www.explorium.ai/company/qboid

9. [SOTI Marketplace] QBOID Inc. Vendor Listing | https://marketplace.soti.net/products/qboid-inc

10. [Perplexity Sonar Pro Brief, retrieved 2024] QBOID Product and Technology Brief | https://www.perplexity.ai/

11. [QBOID.it, retrieved 2026] M2 Perceptor User Experience | https://qboid.it/

12. [Grand View Research, 2023] Dimensioning Systems Market Report | https://www.grandviewresearch.com/industry-analysis/dimensioning-systems-market

13. [LogisticsIQ, 2023] Warehouse Automation Market Report | https://www.logisticsiq.com/research/warehouse-automation-market/

14. [iMAGE S] QBOID Italian Distributor Page | https://www.images.it/brand/qboid

15. [Company Website] Rice Lake Weighing Systems | https://www.ricelake.com/

16. [Company Website] Kanawha Scales & System | https://www.kanawhascales.com/

17. [Company Website] Champtek Incorporated | https://www.champtek.com/