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Data annotation service that guarantees 100% quality of teacher data

Extract the true value of AI algorithms with the highest quality data annotation

Quality assurance
Comprehensive support
Data collection support
Security measures

Don't you have any of these problems?


Low-quality training data

You want to outsource annotation work that requires specialized knowledge, but you are concerned about the quality of the training data that will be delivered in the end.


Concerns about security issues

You are oncerned about data leakage when outsourcing annotation work to external cloud workers.


Lack of in-house machine learning engineers

You want support not only for annotation, but also for AI development in general since you don't have many engineers in our company who are familiar with machine learning.


Lack of training data

You are considering developing a new AI system, but the project has been stymied by an overwhelming lack of training data.

Service Features



100% guarantee of teacher data quality

The prevalence of labeling errors and the resulting lack of model accuracy in creating teacher data, which is essential for AI systems, has been a problem. We provide a 100% guarantee of the quality of annotated teacher data so that you can use your teacher data with peace of mind.


Comprehensive support that goes beyond annotation

By mobilizing all of NexStreamer's full-time annotators, machine learning engineers, and other personnel with expertise in AI system development, we provide comprehensive support not only for data annotation but also for machine learning algorithm construction, peripheral system development, and maintenance and operation.

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High-quality annotation in a complete security system

Data annotation work is often performed by crowdsourcing services, inc domestic and foreign. At Nextremer, the entire process is performed at our data center in Japan, allowing us to create high-quality training data under a complete security system.


Simultaneous improvement of accuracy and asset accumulation by supporting data collection

If you are suffering from a lack of original data to create training data, we can also collect "high-quality original data" in a wide variety of data formats. This not only improves the accuracy of your models but also allows you to accumulate valuable data in-house.

 We are capable of dealing with state-of-the-art technology
to create synthetic data


~ We realize Algorithm development even in areas where data collection is difficult ~


 Synthetic data is data newly generated by computer algorithms. Ten years of knowledge and technology
combined with Nextremer's cutting-edge services, which utilize original and synthetic data in
a complementary manner, enable the creation of training datasets in areas where data collection is difficult
due to confidentiality or privacy concerns. This service creates training datasets, develops AI algorithms,
and improves the accuracy of current AI models, even in areas where data collection is difficult
due to confidentiality and privacy concerns.

Random generation

Rule-based generation

AI algorithm generation

Simulation generation

Service Usage Flow

Step 1

Requirement definition

Our AI system development staff will carefully listen to your project outline. Together, we will determine the purpose of using the data, the amount of data required, and the delivery date.

Step 2


We will provide an estimate based mainly on three factors: the difficulty of the annotation, the amount of data required, and the environment in which the training data was created, as well as other factors such as the availability of data collection and the delivery date.

Step 3


You will select your preferred plan based on a comprehensive evaluation of the data annotation samples, requirement definition, and quotation details, and we will conclude a partnership agreement.

Step 4

Data collection (Optional)

Depending on the issues and objectives identified in the preliminary interviews, we will determine the data format and collection span to be collected. Together, we will check the quality of the original data while collecting data regularly.

Step 5

Data annotation

We will create training data from existing or newly collected data. As with data collection, we will also periodically check the quality of the training data together.

Step 6


The contract ends when we have completed the delivery of all training data, but you can renew voluntarily. Depending on the plan, we may provide support for the practical application of the AI system.

Reliable data annotation service that guarantees
100% quality of teacher data

We are absolutely confident in the quality of the final dataset we deliver for our
data annotation services. This is because we do not outsource any work to cloud workers, which is common in the industry,
but instead, have our employees in Japan work throughout the entire process to ensure complete quality control.

In addition, our consistent system of employees in Japan is superior not only in quality control
but also in security and information management, and we thoroughly ensure that your confidential information is not leaked to outside parties.
If you have any questions about "creating the highest quality teacher data," annotation, or AI system development,
please use the inquiry form below to contact us for a free consultation.

Contact Us