90% of information transmitted to the human brain is visual. Technology hasn’t adapted to adequately manage the growing volumes of content, which is why the 26 million e-commerce companies that exist today allocate large resources to the implementation of Artificial Intelligence tools. This will allow you to differentiate yourself and win customers by improving your shopping experience, personalizing the process and therefore increasing your sales and conversions.

Solution

The Kimera Technologies API is a set of AI Computer Vision solutions available as a web service that allows you to automate the process of analyzing, organizing and searching through large databases of unstructured visual content. Through our encoding systems we can store millions of images without losing any information. To this, we add a layer of super speed algorithms that allow us to find anything in the database in a matter of milliseconds. All this always focused on reducing costs, occupying as little memory as possible and optimizing resources. And of course, the most important thing for us, accessibility. So that this is easy to use for all companies and use cases. Because in the end the important thing is that your users find what they are looking for.

Differentiation

We use new generation models that work with unlimited categories, completely free and do not require retraining. On the other hand, our data processing makes us much more competitive by being able to manage databases in milliseconds thanks to a fully scalable cloud architecture. We ensure a restricted privacy policy as we are able to capture and embed all the information in a unidirectional encoding and we do not have to see the image again in the future for any use. Fully agnostic technology, which does not depend on market or user level, serving for any use case via API, front-end or plugin.

Product

If you have an enormous amount of images and you want to access them easily and fast, we can help you. With our database structure you can undertake search queries (text or image based) combined with all your metadata to find whatever content you are looking for within your resources. Stop wasting time finding the right piece of content!

The first step is to build your database. You can do it from a csv, xml or json file. The file should contain the following:

• One field called "id" - this will be the main data element identifier. Use the ones that you use internally, so it is easier for us to understand each other.

• One or more fields that start with "image_XX" - these fields contain the URLs of the images associated with each data element. Replace XX by the number of the image (00, 01, 02...)

• The rest of the fields can be freely defined and can contain strings or numbers - these fields will be identified as metadata fields that you will be available to use for filtering or computing any kind of formula.

After this, you are able to provide any text description or input image and we will go through all your data in milliseconds, so you can find what you are looking for and display it for your user in your web!

We can perform any Computer Vision search at the same time that we filter by any metadata your DB contains. For the Computer Vision queries you just have to type the description or upload an image similar to whatever you are looking for. For metadata queries you can build filters and we will look only in those images that match your filtering.

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