QSee.ai

Founders and Team

QSee.ai is a solo founder venture led by Cyrus Naderi, a textile engineer and former global quality control executive. His decades of factory experience form the core of the company's domain-specific positioning [qsee.ai, retrieved 2024].

How the Company Got Here

QSee.ai Limited emerged in 2023, founded by textile engineer and former global quality control executive Cyrus Naderi [qsee.ai, retrieved 2024]. The company is registered in Hong Kong, with a listed address in the Mong Kok district, and presents its core mission as modernizing quality control through AI-powered visual inspections [qsee.ai, retrieved 2024] [PERPLEXITY SONAR PRO BRIEF, retrieved 2024]. The founding narrative is built on Naderi’s decades of experience inside factories, attending supplier meetings, and handling crisis calls with brands, positioning him to understand the specific pain points of manufacturing quality workflows [qsee.ai, retrieved 2024].

A key upcoming event is a scheduled speaking engagement for founder Cyrus Naderi at a conference in Kuala Lumpur, Malaysia, from July 22-24, 2026, where he is listed to speak on computer vision tailored to production and quality DNA [LinkedIn, retrieved 2026]. Furthermore, QSee.ai Ltd is listed as an exhibitor at Texprocess 2026, a major textile and garment processing trade show, indicating an active push for visibility within its target vertical [hktdc.com, retrieved 2026].

Data Accuracy: YELLOW -- Key founding and location details are confirmed via the company website and trade directories, but some entity information is sourced from a single aggregated research brief.

Product and Technology

The core product is defined by a specific operational constraint: it enables visual quality inspections using only a smartphone camera. According to the company's website, the goal is to integrate these AI-powered checks directly into the manufacturing flow, providing real-time defect detection and full quality visibility to manufacturers and brands [qsee.ai, retrieved 2024]. This positions QSee.ai as a tool for on-the-floor line workers or inspectors, bypassing the need for fixed, specialized camera systems.

The technical approach appears focused on computer vision for defect detection. The founder's scheduled conference talk in 2026, titled "Computer vision tailored to your production and quality DNA," suggests a focus on customization for specific manufacturing environments and quality standards [LinkedIn, retrieved 2026]. A key differentiator mentioned is building "objective, real-time quality control designed for the factory floor" [qsee.ai, retrieved 2024], which implies an emphasis on reducing subjective human judgment in inspection processes.

Data Accuracy: YELLOW -- Product claims are sourced from the company website; technical details and implementation are not independently verified.

Where the Demand Sits

The market for AI-powered visual inspection is driven by a persistent industrial need to reduce defect escape rates and manual inspection costs. According to a report cited by competitor Instrumental, the global market for automated optical inspection (AOI) equipment was valued at approximately $7.5 billion in 2023 and is projected to grow to over $11 billion by 2028 [instrumental.com, 2026]. A separate analysis from Grand View Research estimates the global computer vision market size at $16.3 billion in 2024 [Grand View Research, 2024].

Metric	Value
Automated Optical Inspection (AOI) Equipment 2023	$7.5B
Projected AOI Market 2028	$11B
Computer Vision Market 2024	$16.3B

Data Accuracy: YELLOW -- Market sizing figures are drawn from a competitor's cited report and a third-party analyst publication, providing reasonable proxies.

Competitive Landscape

QSee.ai enters a market where AI-powered visual inspection is a crowded, well-funded category. The competitive map splits into three tiers: established software vendors with broad AI platforms, venture-backed specialists focused on manufacturing, and a separate Israeli startup sharing its name.

Company	Positioning	Stage / Funding	Notable Differentiator
QSee.ai	AI visual inspection via smartphone for real-time QC in manufacturing flow.	Seed	Smartphone-centric deployment; founder's textile QC background.
Instrumental	AI-powered visual inspection and process optimization for electronics manufacturing.	Series B $33M	Combines hardware stations with analytics suite.
Elementary	AI vision inspection platform to eliminate defects in manufacturing.	Series A $30M	End-to-end platform emphasizing ease of model training.
AWS Lookout for Vision	Cloud service for visual anomaly detection using Amazon's AI.	Part of AWS portfolio	Deep integration with AWS ecosystem.
Landing AI	Computer vision platform for industrial inspection.	Series A $57M	Focus on data-centric AI and tools for non-experts.

Data Accuracy: YELLOW -- Competitor profiles and funding are drawn from their websites and prior coverage; QSee.ai's own positioning is from its minimal site.

Opportunity

If QSee.ai can successfully embed its smartphone-based visual inspection system into the manufacturing workflows of global brands, it could capture a meaningful share of the multi-billion-dollar market for AI-powered quality control. The headline opportunity is to become the default, smartphone-native inspection layer for contract manufacturing, particularly in the textile and apparel sector.

Data Accuracy: YELLOW -- The opportunity analysis is based on the company's stated focus and founder background, with competitive context from a third-party industry analysis.

Sources

1. [qsee.ai, retrieved 2024] QSee.ai | https://qsee.ai/
2. [PERPLEXITY SONAR PRO BRIEF, retrieved 2024] PERPLEXITY SONAR PRO BRIEF | web-grounded
3. [LinkedIn, retrieved 2026] Cyrus Naderi - QSee.ai - Computer vision tailored to your production and quality DNA | https://www.linkedin.com/in/cyrus-naderi/
4. [hktdc.com, retrieved 2026] QSee.ai Limited Exhibitor | https://www.hktdc.com/event/innoex/en/exhibitor/1S005M7L2
5. [instrumental.com, retrieved 2026] Visual Inspection AI: AWS Lookout, Landing AI, & Instrumental | https://instrumental.com/build-better-handbook/visual-inspection-ai-aws-lookout-landing-ai-instrumental
6. [elementaryml.com, retrieved 2026] Elementary: Eliminate Defects with AI Vision Inspection | https://www.elementaryml.com/
7. [Grand View Research, 2024] Global Computer Vision Market Size Report | https://www.grandviewresearch.com/industry-analysis/computer-vision-market
8. [The Wall Street Journal, 2022] Supply-Chain Problems Are Here to Stay, Executives Say | https://www.wsj.com/articles/supply-chain-problems-are-here-to-stay-executives-say-11651406400
9. [Deloitte, 2023] 2023 Manufacturing Industry Outlook | https://www2.deloitte.com/us/en/insights/industry/manufacturing/manufacturing-industry-outlook.html