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What is Scanflow?

Scanflow redefines industrial intelligence by blending automated visual inspection, asset identification, and safety monitoring into one unified AI platform. Its deep-learning models catch subtle defects, assembly errors, and visual inconsistencies at any stage of production, helping manufacturers prevent downstream losses. The platform also automates track-and-trace workflows, linking assets to digital records without relying on manual data entry. Because it supports edge, cloud, and offline modes, organizations can deploy Scanflow in secure plants, remote warehouses, or high-speed production environments. Its implementation process includes assessment, customization, and hands-on support, ensuring every workflow is optimized for maximum impact. Companies using Scanflow report faster automation cycles, significant reductions in operational costs, and improved employee productivity. Quality teams benefit from instant reporting and data-rich insights that support continuous improvement. Safety teams gain the ability to detect hazards, monitor compliance, and respond proactively. Whether used in automotive plants, consumer goods factories, or logistics operations, Scanflow delivers scalable, high-accuracy visual automation. It gives enterprises full confidence that their processes are consistent, compliant, and future-ready.

What is Ombrulla?

Ombrulla transforms manual visual inspections by harnessing artificial intelligence, which leads to faster and more accurate identification of defects, thereby improving efficiency and lowering costs. Our state-of-the-art APM software, which integrates AI and IoT, delivers real-time insights and predictive maintenance features that ensure optimal asset availability and foster sustainable operations. By utilizing AI and IoT-driven asset data, businesses can greatly minimize downtime, enhance resource efficiency, and achieve remarkable operational sustainability. Ombrulla adeptly employs AI and IoT to generate comprehensive insights that support data-driven decision-making, resulting in improved efficiency and increased profitability across multiple industries. The implementation of AI Visual Inspection technology in the automotive sector bolsters quality assurance, reduces errors, and significantly enhances operational efficiency. Moreover, AI & IoT-enabled Real-time Location Systems (RTLS) play a vital role in promoting worker safety, ensuring compliance with regulations, and minimizing exposure to dangerous situations. Furthermore, AI visual inspection in manufacturing not only elevates quality control but also optimizes the production workflow, reinforcing Ombrulla's dedication to innovation and excellence. In addition, this innovative approach paves the way for industries to adopt smarter operational frameworks, ultimately solidifying Ombrulla's position as a leader in digital transformation. With each advancement, we continue to empower organizations to thrive in a technology-driven era.

Media

Media

Integrations Supported

Microsoft Dynamics 365
SAP ERP

Integrations Supported

Microsoft Dynamics 365
SAP ERP

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scanflow

Date Founded

2021

Company Location

India

Company Website

www.scanflow.ai/

Company Facts

Organization Name

Ombrulla

Date Founded

2020

Company Location

United Kingdom

Company Website

ombrulla.com

Categories and Features

Categories and Features

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