Image Analysis Platform
We provide image recognition software and cloud infrastructure for data analysis and storage.
Our platform serves hundreds of customers globally and is also available to partners. Seamlessly integrate image recognition into your production pipeline through our cloud-hosted services and API, or deploy locally to meet your specific operational needs.
Our Offer
Are you still performing image analyses manually?
With our Image Analysis Platform, you can save hundreds of hours previously spent on manual work. Automated image analysis delivers precise results and secure data management in a fraction of the time, allowing you to focus your resources on activities that add real value to your business. Let artificial intelligence handle the heavy lifting—start saving time and reducing costs today.
Do you have a new application that requires image analysis?
Automation opens the door to a wide range of analyses that would be impossible to perform manually. We can support you in building your project from the ground up, including selecting and configuring imaging hardware, implementing the analysis pipeline, and generating automated reports. Gain actionable insights and enable real-time optimization of systems and production parameters.
In most cases we will be able to build a Proof of Concept Computer Vision completely free of charge!
Frequently Asked Questions
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It depends on the number of samples you plan to analyze – this is often more important than the complexity of the analysis. Tasks performed only a few times per year are typically not suited for automation, while daily or frequent analyses usually benefit significantly. If you’re unsure, we offer a free consultation to evaluate your needs.
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At Oculyze, our core expertise is building powerful computer vision systems. Beyond that, we provide everything needed to make the system practical for your business: Selecting and setting up imaging hardware, implementing the analysis pipeline, generating automated reports, and more.
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integration into an existing application:
- We discuss your application to understand requirements; example images may be needed.
- Oculyze builds a cloud-deployed Proof of Concept for testing.
- Together Define the full project scope and Oculyze provides a formal offer.
Turnkey projects:
- We discuss your application and requirements.
- Oculyze prepares a quote for a Minimum Viable Product (MVP) and provides an estimate for the full project.
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For complex applications, we require annotated images to ensure your needs are fully understood. You can use our free annotation tool. Typically, 10 annotated images are sufficient to get started.
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If a trained person could perform the analysis (even if not cost-effective) it can likely be automated. For extremely complex tasks, partial automation may be implemented, where most of the workflow is automated and select cases are flagged for human review.
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We focus on technical, quantitative visual analyses. We automate any visual task that requires specialized training to perform accurately. If a layperson can do it reliably, it may not be a good fit; if a specialist typically performs it, it likely is.
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Yes. Automation ensures 100% reproducibility: Every image produces the exact same result, eliminating human variability.
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It depends on your application:
- Cloud: Fast deployment, easy global access to results.
- Local: Ideal for high-volume data, real-time processing (such as when analysing video streams in real time), or when organizational policies require on-premises processing.
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Yes. Our technology has been successfully integrated into bench-top and standalone devices.
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Our software is built on a scalable microservice architecture. Cloud deployments can scale instantly by adding computation nodes. Local deployments use the same underlying technology, making it easy to expand across multiple machines.
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Beyond increased accuracy, the main benefits are reproducibility and high-throughput tasks that would be slow, inconsistent, or impossible for humans to handle efficiently.
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Yes. Cloud deployments typically use a RESTful API. Local deployments can provide a similar API on your intranet or interface with industrial standards like Modbus or OPC.
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Not exactly. While we use neural networks like those in generative AI, our AI performs a technical analysis of images rather than generating “new” content. We combine deep learning with classical image recognition for a hybrid approach.
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Our technology combines traditional pattern recognition with AI and deep learning. Benefits include:
- Significantly fewer images required (1–3 orders of magnitude less).
- Greater system robustness.
- Reduced “black box” behavior, making it easier to fine-tune based on feedback.