Supported by
LLMs DATA GENERATION
Extract and Generate Training Data for LLMs
Our solutions are designed to streamline the process of creating high-quality training data for your Large Language Models (LLMs), ensuring they are ready for fine-tuning, pre-training, and evaluation.
We leverage cutting-edge techniques to extract key information from your data, unlocking hidden patterns and valuable insights that would otherwise remain untapped.
Extract Meaningful Insights
Our automated systems clean, normalize, and organize your extracted data into a structured format readily usable for LLM training.
Auto-Structure & Refine
These structured datasets enable the fine-tuning and pre-training of LLMs, tailoring their capabilities to your specific domain and needs.
Fine-Tuning &
Pre-Training
Our solutions also generate datasets suitable for robust LLM evaluation, ensuring your models operate accurately and reliably.
Enhanced
Evaluation
DIYETKOLIK x CO-ONE
Diyetkolik is a diet and nutrition app that helps users achieve healthy eating and weight loss goals.
As Co-one, we carried out studies on data collection, categorization, and enrichment for the development of Diyetkolik. Within the scope of these studies, we collected information on all foods on an online market and categorized this data meticulously. In this way, Diyetkolik users can search for foods more easily through the application and manage their diets more effectively.
CRATUS x CO-ONE
Cratus is an IoT technology and product development company offering complete system solutions for customers.
As Co-one, we provided Cratus with image data collection and labeling services for the autonomous driving field, specifically from the warehouse.
Our crowdsource team labeled the data we collected using bounding boxes, allowing autonomous forklifts to accurately navigate. Additionally, our barcode labeling service enables easy product tracking and stock management for our clients.
CUSTOMERS
Use Cases
METISBOT x CO-ONE
Metisbot is an easy-to-use and effective chatbot application that offers smart solutions during development.
As Co-one, we generated sentences/questions in line with the categories specified by our customer for the chatbot.
Let's take the topic of Training Procedures as a category. Here are a few of the questions we produced for this category:
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How many months will the training take?
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What are the personal competencies that the training will bring?
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Is there a grade point average threshold for education?
İŞ BANKASI x CO-ONE
Türkiye İş Bank, founded in 1924, is one of Turkey's largest and leading banks. Türkiye İş Bank has an extensive branch network and digital banking solutions.
As Co-one, we generate data for the chatbot of Türkiye İş Bankası. Our customer provides us with inquiries that require further annotation, and we distribute this data to our multiple users for unbiased text labeling. By leveraging the power of crowdsourcing, we can obtain results from different perspectives, ensuring the resulting chatbot product remains unbiased. We maintain control over the quality of annotated data through cross-validation, guaranteeing high-quality outcomes.
TRUEYOGI x CO-ONE
Trueyogi is a wellness app that utilizes artificial intelligence to provide personalized yoga experiences.
As Co-one, we provided Trueyogi with video data collection, classification, and key point annotation services for wellness, especially yoga poses.
Our crowdsources team collected videos showcasing various yoga poses. Then, the collected videos were carefully processed, and individual frames were taken. These frames served as the basis for the landmarking project, wherein key points within the images were classified and annotated. Furthermore, rigorous classification studies were conducted on the annotated images, resulting in an impressive accuracy rate exceeding 95% for the delivered outputs.
ETIYA x CO-ONE
Etiya is a software company that offers AI-driven digital transformation solutions to enhance customer experience.
As Co-one, we have worked on creating a comprehensive intent and category pool for the chatbot project. In addition, our team's extensive research and development efforts make the development of the chatbot more effective.
~10K
text generation is provided
13%
increase in model performance
HOW
The Power Of Crowdsourcing
GROW YOUR AI AND JOIN OUR
Happy Customers
Co-one's intent generation service for our chatbot, Maxi, has accelerated our data-feeding process by analyzing Maxi chatbot dialogs on a weekly basis, saving us valuable time and resources. Maxi's dialog accuracy rate has reached up to %98 with valuable contributions of Co-one. We are delighted with Co-one's commitment to a high data accuracy rate and look forward to continued collaboration.
Gamze Ortakaya
Innovation and Digital Strategy Sub Manager
Working with Co-one has been an extremely fast work experience. With the Intent Sentence Generation project, different sentences and unique examples were provided to our dataset in terms of content. As a result, our data set turned into a very high quality and rich content.
Fulya Terzi
Product Manager
Co-one provided intent generation and text classification to help Etiya build better-working chatbot solutions. The data labeled by Co-one as a result of the test sets (not seen by training) has given an accuracy rate of up to 91%.
Hakan Yüksel
Senior AI Manager
Accessing high-quality and swift data is critical for an AI model to learn and adapt effectively. Co-one has enabled us to achieve this seamlessly. Their meticulous approach to collecting and processing video data, accurately annotating yoga poses using key-point data labeling, and extending data classification services, has been pivotal in training our AI model and enhancing its capability to generate personalized yoga flows. Co-one has proven to be more than just a service provider. They have been a strategic partner, contributing to the success of our AI engine and ultimately, to the wellness journey of our users.
Mehmet Uzun
Co-founder & CEO
Polyline annotation for lane detection is essential for autonomous vehicles to stay safely between lanes. The lanes on the road were labeled with high accuracy thanks to the "polylines" image annotation service provided by Co-one. Co-one's data labeling contribution helps Eatron to develop intelligent motion software efficiently.
Uğur Yavaş
Head of AI
The project guideline created by Co-one was explained with examples and was very understandable. The report sent to us at the end of the project was very useful in terms of the project process and numerical data. Our questions were answered immediately and solutions were produced. The process progressed very quickly. Ultimately, all our needs were met by Co-one's data solutions.
Elif Koçak
Marketing Specialist
A fast and high quality work was carried out. It has enabled us to save staff time and therefore our costs. Since data labeling is completed at a rate that we cannot do within the company, we will be able to deliver projects to our customers in a shorter time, thus, our reputation with the customer will be positively affected.
Çağan Ekinci
CEO
Correct labeling in artificial intelligence models significantly affects the accuracy of the models. At Udentify, we do a lot of object detection tagging. In order to make these labels, we developed our own labeling tools and established a labeling team. Then we met Co-one and we dissolved our tagging team. Because when we saw the labels made by Co-one, we realized that we couldn’t label correctly before. The drawn boxes (bounding boxes) were complete and flawless, which greatly affects the accuracy rates. They fully complied with the predetermined labeling rules. In addition, although we do not need a lot of labeling in a very short time, we have not experienced any delays in delivering the labeling so far. Thank you Co-one team.
Sezai Acer
Director of Artificial Intelligence
Our existing deep learning model needed to be retrained with new data that the model had never seen before. The accuracy of the labels was the most important factor for us, and thanks to the strong communication of the Co-one team, we got our labels without any problems. On the other hand, being able to handle a process that would take 2 weeks in 1-2 days accelerated our work a lot. We can now get results with an accuracy rate of over 90% in examples where we could not get results before the training.
Selim Ceylan
Computer Vision Engineer
Our partnership with Co-one was transformative. They displayed exceptional professionalism in enhancing our product filtering system. From their rigorous planning and precise annotation of 8,000 products to their thorough quality assurance, Co-one exceeded our expectations. Their in-depth Dataset Analysis provided valuable insights that have since improved our platform's user experience. Thanks to Co-one, our customers now navigate our site with greater ease. We highly recommend Co-one for data annotation needs – a truly reliable and efficient partner!
Gökhan Arslan
Senior Digital Channels Growth Manager
The work was appropriate and very meticulous. In fact, it has been worked so carefully that even a contribution has been made to our wishes. We were informed at every stage of the work, the communication was very good. All our question marks about data quality have been cleared. As a result of this meticulous work, we have achieved a high quality output.
Elif Oral
Senior Data Scientist
Crowdsourcing Network
Access a diverse pool of over 9,000 global contributors, ensuring a geographically and demographically representative workforce ready to tackle your data collection needs anytime, anywhere.
Multilingual Expertise
Our text data collection services support over 15 languages, including English, Turkish, German, Spanish, Korean, Japanese, Italian, French, Nordic languages, Russian, Arabic (various dialects), Kazakh, Uzbek, Turkmen, Greek, and Portuguese. This caters to the requirements of NLP and LLM studies, allowing you to gather data that reflects a broader global audience.
Data Collection from Mobile App
Leverage the power of our mobile application for efficient data collection directly from the field. This solution provides a convenient and reliable platform to your ai projects to contribute, ensuring timely and accurate data acquisition.
Guaranteed GDPR Compliance
Rest assured that your data is collected and handled with the utmost care. We adhere to the strictest regulations, including GDPR compliance, guaranteeing the privacy and security of all collected information.
Field Data Collection
Field data collection refers to gathering information or data directly from the field or real-world environment. We adhere to the data collection guidelines, paying attention to careful planning, our trained crowdsource team, and appropriate tools and equipment in field data collection.
Web Scraping Data Collection
Gathering specific information, such as text, images, prices, or reviews, from multiple web pages and saving it in a structured format for further analysis or use. It can monitor competitors, track pricing trends, gather market research data, or create datasets for machine learning and AI applications.
Data Augmentation
It is used in machine learning and data analysis to artificially expand the size and diversity of a dataset. Data augmentation techniques include image rotation, flipping, zooming, cropping, and adding noise. By increasing the amount and diversity of data, data augmentation helps improve the performance and robustness of machine learning models, reducing overfitting and enhancing generalization capabilities.
DATA COLLECTION
Level Up Your AI with Quality Data
