Ineeji
Ineeji is a South Korean industrial AI company founded in 2019 that sells Explainable AI software for time-series process optimization and autonomous control to heavy-industry manufacturers in steel, cement, glass, petrochemicals, and power generation. It deploys its INFINITE OPTIMAL SERIES™ via direct enterprise sales with performance-based or licensing contracts.
- Company typePrivate
- Founded2019
- HeadquartersSeongnam, South Korea
- Headcount51–100
- GTM typeB2B
- OfferingSoftware
What Ineeji does
Ineeji (주식회사 인이지) is a South Korean industrial AI company founded in 2019 by KAIST Professor Jaesik Choi, headquartered in Seongnam (Bundang), with branch offices in Seoul (Gangnam), Busan, and Tokyo. The company develops and sells Explainable AI (XAI) software for industrial process optimization, built on Deep Temporal Neural Network technology originally developed at UNIST and KAIST and licensed for commercial use.
Its flagship product family, INFINITE OPTIMAL SERIES™, is a suite of AI modules that perform multivariate time-series forecasting, process anomaly detection, and closed-loop autonomous control for heavy-industry processes. Modules include PREDICT (forecasting), EXPLAIN (explainable autonomous control), COSTSAVER (raw-material/price prediction), MES (chemical-reactor monitoring), TSBT (boiler-tube leak detection), EAF (electric-arc furnace electricity optimization), and the in-development G-Power (CO2 emissions monitoring). A separate Cloud AI EEJI offering extends the platform to cloud-based model creation. Deployment options include on-premise (closed network) and isolated per-client cloud servers.
The company sells primarily through direct enterprise field sales to large industrial manufacturers — steel, cement, glass, oil refining/petrochemicals, and power generation — with two pricing models: performance-based contracts (fees tied to measurable energy, quality, or output improvements, typically multi-year) and annual licensing with 24/7 dedicated support. Distribution is supplemented by exhibitions, industry conferences, and Japanese-market partnerships with local SI companies. Named customers include POSCO, KG Steel, Dongkuk Systems (MOU), East-West Power, and unnamed Japanese cement, chemical, oil-refining, and glass manufacturers. The company is privately held, has raised approximately USD 10.5 million across two rounds (2022 pre-Series A and January 2024), employs 11–50 staff, and has been recognized as a government-designated 'Baby Unicorn' and Super Gap Startup 1000+ company.
Ineeji firmographics
Firmographics- Name
- Ineeji
- Legal name
- 주식회사 인이지
- Website
- https://ineeji.com
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- Ineeji is a South Korean industrial AI company founded in 2019 that sells Explainable AI software for time-series process optimization and autonomous control to heavy-industry manufacturers in steel, cement, glass, petrochemicals, and power generation. It deploys its INFINITE OPTIMAL SERIES™ via direct enterprise sales with performance-based or licensing contracts.
- Ownership category
- akta.pro rank
Ineeji industry classification
Industry- Product category
- Industrial AI Software / Process Optimization
- NAICS
- Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)
- SIC
- Services-Computer Programming Services (7371), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Industrial Automation Software (SCADA, HMI, MES, Historian) (IMAHAHAJ)
- akta.pro secondary industries
- Process Mining, Predictive Process Analytics & Automation Intelligence (HDAAAHAJ), End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA), Model Transparency, Explainability & Interpretability (XAI) (HDAAAMAB)
Keywords
Where Ineeji is headquartered
LocationHeadquarters
- HQ city
- Seongnam
- HQ country
- South Korea
- HQ region
- Asia
Offices4 records
Markets served
Ineeji business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Performance-based Contracts: Outcome-based pricing model where fees are tied to measurable performance improvements such as energy savings, quality improvements, or production increases. Provides alignment of incentives between company and client.
- Licensing Model: Traditional software licensing for AI solutions. Clients receive access to AI models and ongoing support.
- Cloud AI EEJI: Cloud-based AI prediction model creation service for broader market access.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Outcome Based/ Performance | Multi-year contract | Performance-based Model |
| Subscription | Annual | Licensing Model |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels7 records
Ineeji product offering
Product offeringCore offering
INEEJI develops and sells explainable AI (XAI) software for industrial process optimization, primarily through its flagship INFINITE OPTIMAL SERIES™ suite. The software delivers real-time prediction, autonomous control, and cost optimization for heavy-industry processes such as steelmaking, cement, glass, petrochemicals, and power generation, deployed either on-premise or via the Cloud AI EEJI cloud service. The company sells directly to large industrial manufacturers and provides continuous technical support as part of its contracts.
Product overview
INEEJI offers a unified AI-driven industrial process optimization platform centered on the INFINITE OPTIMAL SERIES™ product family. This suite integrates three core modules—PREDICT for time-series forecasting, EXPLAIN for autonomous control with explainability, and COSTSAVER for price prediction—alongside specialized vertical solutions including INFINITE OPTIMAL MES (chemical reactor monitoring), TSBT (boiler tube leak detection), EAF (electric furnace optimization), and G-Power (emissions monitoring, under development). The company also provides Cloud AI EEJI as a cloud-based model creation service. All products leverage proprietary Explainable AI (XAI) technology developed from KAIST and UNIST research, enabling transparent AI-driven decision support for industrial processes.
Differentiator
Problem solved
Functional benefit
Brands
- INFINITE OPTIMAL SERIES™: Industrial AI prediction solution for process efficiency optimization featuring proprietary explainable AI models for various manufacturing industries including steel, cement, glass, oil refining, and petrochemicals.
- Cloud AI EEJI
- INFINITE OPTIMAL MES
- INFINITE OPTIMAL TSBT
- INFINITE OPTIMAL EAF
- INFINITE OPTIMAL G-Power
Products and services
- INFINITE OPTIMAL SERIES™ Flagship explainable AI prediction and control solution suite for industrial process efficiency optimization, leveraging proprietary XAI technology to learn key process variables and expert operator patterns. Provides real-time forecasting, autonomous control with explanations, and price prediction for steel, cement, glass, petrochemicals, and power generation processes.
- INFINITE OPTIMAL MES Manufacturing Execution System monitoring AI for chemical reactors. Analyzes chemical reactor process data (raw materials, catalyst, temperature, pressure, humidity, weather) to improve process quality, productivity, and consistency for oil refining and chemical manufacturers.
- INFINITE OPTIMAL TSBT Temperature Sensor-based Boiler Tube leak detection AI system for thermal power plants. Detects boiler tube leaks earlier than acoustic sensor-based BTLD systems by analyzing thousands of temperature, pressure, and flow sensor changes, also identifying fine tube ruptures missed by conventional systems.
- INFINITE OPTIMAL EAF Electric Arc Furnace AI solution that predicts electricity required to melt steel scraps. Considers scrap type, quantity, oxygen level, internal temperature, and power consumption to calculate optimal energy amounts, preventing excessive electricity use in steelmaking.
- Cloud AI EEJI Cloud-based AI prediction model creation service that enables users to build and deploy AI prediction models via a cloud platform with per-client isolated servers for security. Designed for broader market access beyond on-premise deployments.
Quantifiable outcome
- 25% reduction in blast furnace temperature prediction error
- +6 more outcomes
Companies that use Ineeji
Customer profileNamed customers8 records
Segments5 records
Ideal customer profiles2 records
Ineeji technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature8 records
Ineeji partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core and minor.
- Dongkuk SystemscoreMOU signed in June 2023 to expand AI-based digital transformation in the steel business. Collaboration on developing innovative AI models and services for steel manufacturing and logistics.
- KG ICTcoreJointly developed 'optimal control technology for artificial intelligence heating for continuous hot dip galvanizing process' with KG Steel and INEEJI.
- GS Global JapancorePartnership for market expansion in Japan. Collaborates on AI solutions for Japanese market.
- PSI MetalcoreMOU signed for industrial software partnership. Collaboration on AI-based digital transformation solutions.
- Chiyoda SteelcoreJapanese steelmaker conducting proof-of-concept for INEEJI's process optimization solution.
- KOTRAminorTrade promotion organization supporting INEEJI's participation in Japanese exhibitions including FACTORY INNOVATION Week Nagoya 2022.
- UNISTcoreSource of core AI technology - Deep Temporal Neural Networks developed at UNIST were licensed for commercial use. Professor Choi Jae-sik's team at UNIST developed AI algorithms for blast furnace prediction.
- POSCOcoreApplied deep learning AI for blast furnace control at POSCO Pohang Steel Works. World-first achievement in AI molten iron temperature prediction. Part of ongoing collaborative projects.
- KAISTcoreAI technology developed at KAIST transferred for commercialization. CEO is KAIST Professor. Company is a KAIST professor startup with ongoing research collaboration.
- Korea AI Manufacturing Platform (KAMP)minorCollaborates with national manufacturing AI cloud platform providing AI technology for small and medium-sized businesses.
- Hanyang University ERICAminorIndustry-academia cooperation agreement signed for AI research and development collaboration.
Scale indicators10 records
Recent moves8 records
Expansion highlights6 records
Ineeji competitors and assessment
Company assessmentEmerging players
- Falkonry: Falkonry provides time-series anomaly detection and predictive analytics for industrial operations, with a focus on plants and discrete manufacturing. It overlaps with INEEJI's predictive process analytics but is narrower in scope and typically deployed as an add-on analytics layer.
- Braincube: Braincube provides an AI-driven industrial analytics platform focused on continuous improvement for manufacturers, including process optimization and production yield. It overlaps with INEEJI's INFINITE OPTIMAL SERIES in helping manufacturers extract value from time-series process data.
- Cognite: Cognite offers an industrial data and AI platform (Cognite Data Fusion) used by heavy-industry customers to operationalize sensor data for process optimization and predictive maintenance. It is an emerging player comparable to INEEJI in serving process manufacturers with AI-driven operational improvements.
Direct peers
- Sight Machine: Sight Machine provides a manufacturing analytics platform that uses AI on factory floor data for quality, yield, and throughput improvements. It is a direct peer to INEEJI in bringing AI-driven process analytics to discrete and process manufacturers globally.
- SparkCognition: SparkCognition delivers AI solutions for industrial applications including predictive maintenance, asset reliability, and process optimization across energy, manufacturing, and defense. It overlaps with INEEJI's INFINITE OPTIMAL SERIES in serving heavy-industry customers with AI-driven process improvement.
- Augury: Augury combines AI and IoT sensors to predict machine failures and optimize manufacturing processes for industrial customers. Like INEEJI, it focuses on time-series process data and outcome-based value delivery to manufacturers, though its primary strength is machine health rather than process chemistry.
- Uptake: Uptake is an industrial AI platform focused on asset performance management and predictive maintenance for heavy industries (energy, rail, manufacturing). It is a direct peer to INEEJI in applying AI to industrial time-series data for uptime, quality, and energy outcomes at large enterprise customers.
Broad incumbents
- C3.ai: C3.ai is a large, established enterprise AI platform with deep applications in manufacturing, energy, and process industries (predictive maintenance, process optimization, ESG). It is a broad incumbent in the same space as INEEJI, offering overlapping capabilities but as part of a much wider portfolio rather than specializing in time-series explainability.
- Rockwell Automation (Pavilion/PTC partnership): Rockwell Automation is a major industrial automation incumbent offering MES, process control, and analytics solutions to manufacturers worldwide through its FactoryTalk suite and partnerships with PTC. It is a broad incumbent against which INEEJI competes in industrial process optimization for heavy industries.
Regional players
- MakinaRocks: MakinaRocks is a Korean industrial AI startup applying machine learning to manufacturing and process optimization for semiconductors, steel, and other heavy industries. It is a regional peer to INEEJI in Korea, with overlapping target verticals but somewhat different technical emphasis.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Ineeji social profiles
Digital presenceIneeji financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ineeji leadership team
Management profileNumber of profiles
Profiles6 records
Ineeji funding detail
Funding detailFunding overview
Funding rounds2 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ineeji 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 Ineeji
What does Ineeji do?
INEEJI develops and sells explainable AI (XAI) software for industrial process optimization, primarily through its flagship INFINITE OPTIMAL SERIES™ suite. The software delivers real-time prediction, autonomous control, and cost optimization for heavy-industry processes such as steelmaking, cement, glass, petrochemicals, and power generation, deployed either on-premise or via the Cloud AI EEJI cloud service. The company sells directly to large industrial manufacturers and provides continuous technical support as part of its contracts.
Is Ineeji a public or private company?
Ineeji is a private company. It is classified as venture growth investor backed and is currently operating.
When was Ineeji founded?
Ineeji was founded in 2019. It employs 51 to 100 people.
Where is Ineeji based?
Ineeji is headquartered in Seongnam, South Korea, in the Asia region.
How does Ineeji make money?
Three revenue lines are on record. Performance-based Contracts are the primary driver. The others are licensing Model and cloud AI EEJI.
Who are Ineeji's main competitors?
Emerging players on record are Falkonry, Braincube and Cognite. Direct peers are Sight Machine, SparkCognition, Augury and Uptake. Broad incumbents are C3.ai and Rockwell Automation (Pavilion/PTC partnership). MakinaRocks is listed as a regional player.
Does Ineeji have an API?
No public API is recorded for Ineeji.
What industry is Ineeji in?
Ineeji's product category is Industrial AI Software / Process Optimization. Its primary akta.pro industry code is IMAHAHAJ, Industrial Automation Software (SCADA, HMI, MES, Historian), with a secondary code of HDAAAHAJ, Process Mining, Predictive Process Analytics & Automation Intelligence. Its NAICS code is 541511 and its SIC code is 7371.