 | This article may incorporate text from a large language model. (August 2025) |
| Submission declined on 28 August 2025 by Theroadislong (talk). This submission appears to read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a neutral point of view, and should refer to a range of independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's verifiability policy and the notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies. This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
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Comment: Just blatant advertising Theroadislong (talk) 07:15, 28 August 2025 (UTC)
| Company type | Private |
|---|---|
| Industry | Computer Vision, Artificial Intelligence, Industrial AI, Vision AI |
| Founded | 2021 |
| Founder | Pinak Dattaray |
| Headquarters | India, United States |
Key people | Pinak Dattaray (Founder) |
| Products | Vision AI Agents, Ripik Vision Platform |
Number of employees | 80+ (2025) |
| Website | https://www.ripik.ai/ |
Introduction
editRipik Technology Pvt. Ltd., known as Ripik AI, is an applied artificial intelligence company that develops computer vision agents and industrial AI platforms.[1] Its systems are used for monitoring material, processes, and equipment in heavy industries such as steel, cement, and chemicals. The company's solutions focus on material, process, and equipment monitoring, with applications in throughput management, energy efficiency, and quality control.
History
editRipik AI was founded in 2021 by Pinak Dattaray.[2] The company operates with offices in India and the United States, providing vision AI agents and platforms for industrial operations.[3] As of 2025, it has reported a team of over 80 employees and technology deployed in more than 100 industrial installations worldwide.[4] The company has collaborated with technology providers including Nvidia, Dell, Google Cloud Platform, and Microsoft Azure.[5]
Products
edit- Vision AI Agents – Computer vision agents designed for continuous monitoring of industrial processes for anomaly detection, real-time alerts, and automated workflows.
- Ripik Vision Platform – A software platform for deploying and managing multiple Vision AI agents across industrial operations.
Solutions
editRipik AI develops computer vision agents and platforms applied across steel, cement, and related heavy industries. Its portfolio includes:
- Raw Material Sizing – AI-based particle size analysis used to detect fines, oversized particles, and foreign objects in raw materials.
- Big Rock Detection – Real-time detection of oversized rocks that could damage crushers.
- Conveyor Belt Monitoring – Multi-camera systems for detecting cracks, tears, belt sway, misalignments, and other mechanical issues.
- Cement Kiln Optimization – AI-based systems for monitoring and optimizing kiln operations to reduce emissions and improve energy efficiency.
- Kiln Refractory Monitoring – Thermal imaging for detecting hotspots in kiln refractory linings.
- AFR Composition Analysis – Classification of alternative fuels to predict calorific value and support energy management in cement production.
- Ladle Tracking – Imaging-based monitoring of ladles, cranes, and trolley positions to improve tracking and operational safety.
- Electric Arc Furnace Monitoring – AI-enabled monitoring of furnace conditions, including detection of refractory wear and material behavior.
- Moisture Detection – Use of infrared cameras and vision AI to measure moisture levels in coal, coke, sinter, and other materials.
- Blast Furnace Monitoring – Early-warning alerts and root cause analysis to support stable blast furnace operations.
- Refractory Monitoring – Thermal imaging for detecting hotspots in refractory linings of ladles, electric arc furnaces, and other equipment.
- Finished Goods Monitoring – Automated inspection systems for monitoring finished products in steel and cement operations.
- Volumetric Analysis – Use of optical and LiDAR technology for material volume measurement and profile monitoring.
- Sinter Plant Monitoring – Systems for monitoring input materials, sinter bed and discharge temperatures, sinter sizing, and belt thermal conditions.
References
edit- ^ "Meet Ripik". Accel. Retrieved 2025-08-27.
- ^ "Meet Ripik". Accel. Retrieved 2025-08-27.
- ^ "Ripik Technology Pvt. Ltd". CemNet. Retrieved 2025-08-27.
- ^ "Ripik AI Growth". 1MoneyMania. Retrieved 2025-08-27.
- ^ "AI Industrial Automation Companies". Softlabs. Retrieved 2025-08-27.