Certainty Software
4.5 out of 5 stars
(93 Ratings)
Certainty is an enterprise-level auditing and inspection software that can be trusted to help you manage and report on business risk, compliance, and performance metrics quickly and efficiently.
Certainty Software is used by hundreds of thousands of professionals to complete millions of inspections and audits each year. It provides all the tools you need to collect, collate, and report consistent, accurate, and meaningful metrics across your business.
Certainty provides all the tools you need to design, manage, and report on audit/inspection data, as well as help you manage and mitigate any risks, incidents, and issues that may be identified during the audit/inspection process.
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4.9 out of 5 stars
(4 Ratings)
Epicor Connected Process Control (CPC) is a flexible no-code/low-code MES and manufacturing operations platform that helps manufacturers standardize production and assembly processes, improve quality, and increase visibility across the shop floor.
Using digital work instructions with multimedia content, manufacturers can guide operators through critical tasks, enforce process control, and improve consistency across products, workstations, and production lines.
CPC connects equipment and devices to collect production and quality data in real time, helping manufacturers identify issues faster, reduce waste, and support continuous improvement.
CPC provides product traceability with a complete historical record of each product's build and inspection history. Manufacturers use CPC to support assembly verification, error proofing, quality inspections, operator guidance, and other connected manufacturing initiatives.
For manufacturers with complex product variations, CPC can dynamically present the correct work instructions based on the product or configuration being built, helping ensure products are assembled accurately and consistently.
Available on-premises or in the cloud, CPC scales from a single work cell to enterprise-wide deployments.
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NeuralVision
NeuralVision represents a cutting-edge machine vision platform that integrates deep learning and artificial intelligence capabilities specifically for the field of industrial inspection. This innovative system empowers companies to fully manage the efficiency of their machine vision applications without needing to rely on external experts for modifications or the introduction of new product lines. In contrast, conventional machine vision heavily relies on well-controlled environments, strict positional tolerances, and the expertise of skilled vision programmers. Engineers typically bear the responsibility of devising every necessary algorithm to accurately inspect various aspects of a part, including measurements, color, and precise locations. Cyth Systems developed NeuralVision to enable individuals with no prior machine vision knowledge to effectively inspect and categorize products. Traditionally, machine vision systems require a seasoned programmer to select from numerous analysis algorithms to analyze an image, leading to a bottleneck in efficiency and adaptability. With NeuralVision, the process is streamlined, making it accessible for a broader range of users and significantly increasing operational flexibility.
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Scanflow
Scanflow Inspect puts an AI inspector on your production line. One compact unit bundles the camera, lighting, edge computing and software, so it can be mounted on a conveyor, at a workstation or at the end of the line. Every part is checked at cycle time, not just a sample, so faults are flagged before they travel downstream. It spots issues like thread and diameter drift, missing components and wrong kits, and it measures dimensions as it inspects. Coverage runs across castings, forgings, machined components, sub-assemblies, complete systems and vehicles. Teams can ask the built-in QC AI Agent plain questions about defects, batch pass rates and reject trends. The Auto-Annotation Tool lets your own engineers teach the system a new part within hours, with no data-science backlog. Start with a Day 1 demo on your parts, run a one-line pilot over two weeks, then go live. Pilot benchmarks: 95%+ detection accuracy and 2x faster than manual checks.
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