ELROILAB
ELROILAB is a Seoul-based AI company that builds hyperspectral imaging systems combined with proprietary deep learning models to detect foreign materials and inspect quality in food manufacturing, serving major Korean food producers such as CJ, Pulmuone, and Ottogi.
- Company typePrivate
- Founded2020
- HeadquartersSeoul, South Korea
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What ELROILAB does
ELROILAB (주식회사 엘로이랩) is a South Korean AI company founded in June 2020 by CEO Yoo Kwangsun (유광선) that builds hyperspectral imaging solutions for foreign material detection and quality inspection, primarily in food manufacturing. Its technical stack centers on ELROINET, a proprietary deep learning model specialized for hyperspectral data, paired with the SPECTRAL AI software platform and a hardware line (SAI-Food, SAI-Delta, SAI-Research, and the upcoming SAI-Liquid) that integrates AI inference with conveyor-based or delta-robot rejection mechanisms. The system analyzes 200+ wavelength bands at up to 80 frames per second, achieving reported detection accuracy of 97–99% on contaminants — including soft, similarly colored foreign objects that conventional X-ray and metal detectors miss.
The company monetizes through three streams: hardware sales of the SAI product line, annual subscriptions for the SPECTRAL AI software (introduced in 2024), and professional deep-learning consulting engagements. Its go-to-market is enterprise field sales targeting major Korean food and beverage manufacturers; according to company commentary, 10 of Korea's top 20 food manufacturers are customers, including CJ, Pulmuone, Ottogi, Cheonghaemyunga, and Gran Machan. Distribution is currently single-country (South Korea), although a 2025 strategic partnership with Specim (the Finland-based hyperspectral camera leader, now part of Konica Minolta) is positioned to enable geographic and vertical expansion beyond food safety into recycling, batteries, semiconductors, and pharmaceuticals.
ELROILAB is a venture-backed private company that closed a Series A round of approximately 5 billion KRW (~$3.75M) in June 2024, led by Woori Venture Partners, following a 2.5 billion KRW bridge from Nonghyup Bank earlier that year. Cumulative disclosed funding is roughly 7 billion KRW (~$5.5M), with non-dilutive support from the TIPS and Scale-up TIPS government programs (including ~1.2 billion KRW over three years from Scale-up TIPS). Headcount stands at approximately 20 as of early 2024, with stated intent to double staffing post-Series A. The company has registered more than 10 patents covering neural network optimization, anomaly detection, conveyor sorting, and hyperspectral noise processing, and its research has been accepted at top-tier venues including CVPR 2026 and IGARSS 2026.
ELROILAB firmographics
Firmographics- Name
- ELROILAB
- Legal name
- 주식회사 엘로이랩
- Website
- https://elroilab.com
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- ELROILAB is a Seoul-based AI company that builds hyperspectral imaging systems combined with proprietary deep learning models to detect foreign materials and inspect quality in food manufacturing, serving major Korean food producers such as CJ, Pulmuone, and Ottogi.
- Ownership category
- akta.pro rank
ELROILAB industry classification
Industry- Product category
- AI Quality Inspection Systems
- NAICS
- Instruments and Related Products Manufacturing for Measuring, Displaying, and Controlling Industrial Process Variables (334513), Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451)
- SIC
- Optical Instruments & Lenses (3827), Industrial Instruments For Measurement, Display, And Control (3823)
- akta.pro primary industry
- Industrial Vision & Quality Inspection (HDAAAEAG)
- akta.pro secondary industries
- Sorting, Grading & Optical Inspection Systems (Size/Color Sorters) (AFAAAJAC), Environmental Monitoring Program (EMP) Design & Regulatory Verification (AFALADAI)
Keywords
Where ELROILAB is headquartered
LocationHeadquarters
- HQ city
- Seoul
- HQ country
- South Korea
- HQ region
- Asia
Offices1 record
Markets served
ELROILAB business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Supply Chain
Revenue model
- SPECTRAL AI Software Subscription: AI-powered hyperspectral software delivered as subscription service for quality analysis in food manufacturing.
- Hardware Sales (SAI Product Line): Sale of hyperspectral imaging hardware equipment including SAI-Food, SAI-Delta, and SAI-Research systems.
- Deep Learning Consulting Services: Hyper consulting services providing expert guidance on deep learning implementation and hyperspectral analysis.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | SPECTRAL AI Subscription |
Go-to-market motion1 record
Distribution channels1 record
Marketing channels9 records
ELROILAB product offering
Product offeringCore offering
ELROILAB provides AI-powered hyperspectral imaging solutions for detecting foreign materials and quality defects in food manufacturing. The company combines proprietary ELROINET deep learning models with hyperspectral cameras and the SPECTRAL AI software platform, delivered through SAI-series inspection equipment (SAI-Food, SAI-Delta, SAI-Research, SAI-Liquid) at 97-99% detection accuracy and 80 frames per second inline processing.
Product overview
ELROILAB offers an integrated AI hyperspectral solution portfolio for food safety and quality inspection. The core technology stack consists of ELROINET (proprietary deep learning model for hyperspectral analysis) and SPECTRAL AI (software platform combining the model with hyperspectral cameras), supported by specialized hardware equipment: SAI-Food (standard inspection system), SAI-Delta (robotic precision system for wet products), SAI-Research (research station), and the upcoming SAI-Liquid (liquid monitoring system). The company also developed GLESim, a next-generation spectral similarity index. These solutions work together to provide end-to-end quality control from material detection to automated sorting, achieving 97-99% detection accuracy across various food manufacturing applications.
Differentiator
Problem solved
Functional benefit
Brands
- ELROINET (엘로이넷): Proprietary deep learning model specialized for hyperspectral imaging analysis
- SPECTRAL AI
- SAI-Food
- SAI-Delta
- SAI-Research
- SAI-Liquid
- SC-DBNet
- PA2E
- GLESim
- FastSimiFeat
- CRNSim
Products and services
- ELROINET (엘로이넷) Proprietary deep learning model specialized for hyperspectral imaging analysis, enabling real-time material detection and classification across 200+ spectral wavelengths. Sold as the core AI engine for hyperspectral inspection applications.
- SPECTRAL AI AI hyperspectral software solution combining the ELROINET model with hyperspectral camera technology for quality inspection and foreign material detection in food manufacturing. Delivered as annual subscription.
- SAI-Food Standard automated extraction equipment for food sector applications, featuring hyperspectral AI-powered foreign material detection with adjustable sorting and air rejection mechanisms for inline production line use.
- SAI-Delta Advanced inspection system combining hyperspectral AI with a delta robot arm and air suction technology for high-precision wet food quality inspection and foreign material removal on production lines.
- SAI-Research Versatile research station for multi-field hyperspectral analysis applications across food, biotech, and chemical research environments.
- SAI-Liquid Liquid-form quality monitoring system for real-time sauce and beverage inspection, detecting foreign materials, component anomalies, and color changes with 97%+ accuracy on liquid production lines.
- Deep Learning Hyper Consulting Expert consulting services providing customized deep learning and hyperspectral analysis solutions tailored to client-specific industrial applications and use cases.
Quantifiable outcome
- 97-99% accuracy in foreign material detection
- +4 more outcomes
Companies that use ELROILAB
Customer profileNamed customers6 records
Segments1 record
Ideal customer profiles2 records
ELROILAB technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature6 records
ELROILAB partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core.
- SPECIM (스페심)coreGlobal hyperspectral leader #1, Finland-based company now part of Konica Minolta group. Strategic partnership for hyperspectral imaging technology and solutions.
- Pulmuone (풀무원)coreCo-R&D partnership with MOU signed for joint development of food safety and quality inspection solutions using hyperspectral AI technology.
- Gran Machan (그랜마찬)coreMOU signed for food safety inspection collaboration, implementing hyperspectral AI quality solutions.
- Cheonghaemyunga (청해명가)coreSpectral AI quality solution contract for food quality inspection and safety compliance.
Scale indicators5 records
Recent moves1 record
Expansion highlights8 records
ELROILAB competitors and assessment
Company assessmentBroad incumbents
- Keyence: Global market leader in industrial automation sensors, machine vision systems, and code readers. Directly competes with ELROILAB in food and manufacturing inspection with a broad portfolio including vision and laser-based inspection, though it does not specialize in hyperspectral foreign material detection.
- Cognex Corporation: World's leading machine vision company, providing vision systems, industrial image processing, and deep learning-based inspection software. Overlaps with ELROILAB in AI-powered quality inspection for food and consumer goods manufacturing, but offers a much broader product portfolio.
- Mettler-Toledo: Global leader in precision instruments for food, pharmaceutical, and laboratory applications, including in-line checkweighers, X-ray inspection, and metal detection. Competes with ELROILAB's SAI product line in foreign material detection and serves the same food manufacturing customers.
- Bühler Group: Swiss food processing technology giant offering optical sorting, food safety inspection, and process automation for grain, nuts, and processed foods. Competes with ELROILAB in food quality inspection at enterprise scale and provides complementary processing equipment to the same major food manufacturers.
Direct peers
- TOMRA: Norwegian leader in sensor-based sorting solutions for food, recycling, and mining, with deep food-industry penetration in optical sorting, grading, and foreign material removal. Most direct comparable to ELROILAB's hyperspectral-based food sorting offering, but with established global sales channels and broader food portfolio.
Others
- Specim (Konica Minolta): Global leader in hyperspectral imaging cameras and systems, now part of Konica Minolta. Functions as ELROILAB's strategic camera supplier and partner, but also a potential competitor if it vertically integrates into inspection software/solutions for the food industry.
Emerging players
- Headwall Photonics: US-based hyperspectral imaging provider serving remote sensing, machine vision, and industrial inspection including food quality and agricultural applications. Comparable hyperspectral hardware/sensor focus to ELROILAB's underlying technology stack, though with different end-market emphasis.
- Resonon: US-based designer and manufacturer of hyperspectral imaging systems for industrial sorting, food quality, and remote sensing applications. Competes in the same hyperspectral inspection space as ELROILAB with benchtop and airborne systems, primarily serving agricultural and food customers.
- Instrumental: AI-powered visual inspection and defect detection platform for electronics and consumer product manufacturing. Comparable AI-first inspection approach applied to a different vertical, with similar SaaS-style software business model layered on manufacturing hardware.
- Landing AI: AI vision platform founded by Andrew Ng focused on manufacturing and quality inspection, including food and agriculture. Comparable computer vision + deep learning approach to industrial quality control, with broader enterprise focus and global sales presence.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
ELROILAB social profiles
Digital presenceELROILAB financial estimates
Financial estimateRevenue estimate
Valuation estimate
ELROILAB leadership team
Management profileNumber of profiles
Profiles1 record
ELROILAB funding detail
Funding detailFunding overview
Funding rounds8 records
Investors16 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
ELROILAB M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about ELROILAB
What does ELROILAB do?
ELROILAB provides AI-powered hyperspectral imaging solutions for detecting foreign materials and quality defects in food manufacturing. The company combines proprietary ELROINET deep learning models with hyperspectral cameras and the SPECTRAL AI software platform, delivered through SAI-series inspection equipment (SAI-Food, SAI-Delta, SAI-Research, SAI-Liquid) at 97-99% detection accuracy and 80 frames per second inline processing.
Is ELROILAB a public or private company?
ELROILAB is a private company. It is classified as venture growth investor backed and is currently operating.
When was ELROILAB founded?
ELROILAB was founded in 2020. It employs 11 to 50 people.
Where is ELROILAB based?
ELROILAB is headquartered in Seoul, South Korea, in the Asia region.
How does ELROILAB make money?
Three revenue lines are on record. SPECTRAL AI Software Subscription is the primary driver. The others are hardware Sales (SAI Product Line) and deep Learning Consulting Services.
Who are ELROILAB's main competitors?
Broad incumbents on record are Keyence, Cognex Corporation, Mettler-Toledo and Bühler Group. TOMRA is listed as a direct peer. Specim (Konica Minolta) is listed as an others. Emerging players are Headwall Photonics, Resonon, Instrumental and Landing AI.
Does ELROILAB have an API?
No public API is recorded for ELROILAB.
What industry is ELROILAB in?
ELROILAB's product category is AI Quality Inspection Systems. Its primary akta.pro industry code is HDAAAEAG, Industrial Vision & Quality Inspection, with a secondary code of AFAAAJAC, Sorting, Grading & Optical Inspection Systems (Size/Color Sorters). Its NAICS code is 334513 and its SIC code is 3827.