“Since starting to work with Ango AI, being able to take advantage of their labeling service within a secure network allowed us to get better results, faster.”

Eren Bekin, Head of Innovation Unit at Anadolu Sigorta

Before meeting Ango AI, the leading Turkish insurance company Anadolu Sigorta was performing in-house labeling of its data using three different tools.

Anadolu Sigorta uses different data types to train their machine learning models: text, image, and audio, and for each, they needed to use separate tools, which did not integrate with one another or with the company’s existing infrastructure at large.

Since meeting Ango AI, Anadolu Sigorta has been using Ango Hub On-Prem to annotate all of their data, using a single, unified, cohesive platform which integrates seamlessly with the rest of their infrastructure, saving them in resources and dramatically increasing the quality of their labels.

The Customer

Anadolu Sigorta is one of the leading insurance companies in Turkey. It was the country’s first ever insurance institution. It numbers thousands of employees and millions of customers, both locally and abroad.

Anadolu Sigorta is one of the technology leaders in the Turkish insurance market. They have an eye for innovation, and they adopted AI and machine learning models as soon as it was feasible.

Thanks to their adoption of AI, Anadolu Sigorta can process a large number of documents and images coming from their agents on the field, with only minimal human supervision. This optimizes resource utilization and dramatically speeds up the processes of appraisal and data entry.

Before Ango AI

Machine learning models need to be trained before being used. In other words, if we want a model to recognize cars, we first need to feed it thousands of pictures in which the car is highlighted (e.g.: labeled.)

In Anadolu Sigorta’s case, they mostly use models to appraise damage and similar entities from pictures, to automatically file documents, and to process audio. For this reason, their in-house AI team spends a considerable amount of time labeling images, documents, and audio to train their models.

Lack of versatility

Before Ango AI, to fulfill their data annotation needs, Anadolu Sigorta had to use three different labeling platforms: one for text, one for audio, and one for images. This stems from the fact that most platforms in this category are specialized on a single data type, making it difficult for multimedia teams like Anadolu Sigorta to perform their labeling tasks cohesively.

The platforms did not communicate or integrate with one another, so it was impossible to get comprehensive information on the labeling tasks as a whole.

The platforms looked and worked differently from one another, making it so that an annotator would have to retrain themselves each time they switched. This led to reduced label quality, since the annotator’s muscle memory cannot be activated if they have to use radically different interfaces for every different media type. It also led to an inefficient use of time since the time it takes for an annotator to retrain is time which could have instead been used for labeling.

High Pricing

Since they were using three different platforms, from different vendors, they had to pay fees to each separately, incurring a high cost. The current “single-media” model of labeling platforms makes it so that multimedia teams are at a disadvantage, as they need to pay three times as much as a team using only one type of media.

After Ango AI

Anadolu Sigorta contacted Ango AI regarding their labeling needs in the first half of 2021. Once we understood their needs, we proposed they try our Ango Hub On-Premise solution, as it fit their needs perfectly.

Anadolu Sigorta has since installed Ango Hub On-Premise on their own servers and has been annotating data with it.

Since we do not collect any type of analytic data from our On-Premise installations for security reasons, we do not know for certain how much and for what they used our platform. They have, however, communicated to us that they labeled millions of data points, and that they intend to continue working with Ango Hub On-Premise for the foreseeable future.

Versatility

Now, with Ango Hub On-Premise, the AI team at Anadolu Sigorta only has to use one tool to annotate all of their data. Some of the advantages of this are:

• Annotators only have to learn how to use one platform for all data, eliminating the need to retrain.
• Now, Anadolu Sigorta can obtain information about the progress and various statistics about all of their labeling efforts holistically, easily and from one single place.
• They don’t have to create data pipelines for each of their platforms, instead only one for Ango Hub.

Pricing

Since now Anadolu Sigorta only uses Ango Hub instead of three different platforms, they save considerably in resources, both time and money.

Deployment

Before Ango AI, setting up and maintaining their three different products took considerable time and effort.

Installing the entire Ango Hub On-Premise product to Anadolu Sigorta’s servers took, in total, less than 30 minutes thanks to Ango Hub’s adoption of the latest state of the art in deployment infrastructure, explained in detail in our Ango Hub On-Premise attachment.

Plus, any updates released after the initial deployment took less than 15 minutes each to deploy and activate, resulting in virtually no downtime for Anadolu Sigorta.

Updates

Based on the feedback from our customer, we have been able to push updates which helped not only this customer but every other customer as well. We have created a direct line of communication from the customer to us, which allowed us to instantly troubleshoot any issue the customer might have had.

Before, this was not easily possible, as a change in their data labeling pipeline would have meant changing three different products.

Facts

• The customer has increased its data labeling output while optimizing resource use.
• The customer simplified their data labeling pipeline considerably, going from using three different products to only one, able to do everything.
• The customer has labeled millions of data points with Ango Hub On-Premise reliably and without hiccups.
• The customer has stated that Ango Hub saved them time and resources, that they are happy with the platform, and that they intend to continue with Ango Hub in the future.