Training Data and Services for ML & AI Models

Supporting businesses, universities, non-profits, and independent researchers advancing artificial intelligence
Comprehensive data collection using advanced methods for machine learning tasks of any complexity.

Data Collection

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Data collection for ML & AI models
Data types:
images, video, audio, text, multimodal data, as well as specialized categories such as multispectral, LiDAR, and DICOM images, and materials from sociological and marketing research.
Data collection methods:
crowdsourcing, web scraping and parsing, dataset creation from open sources, synthetic data rendering, and conducting surveys.
Data Collection

Comprehensive data collection using advanced methods for machine learning tasks of any complexity.
Data collection for ML & AI models
Data types:
images, video, audio, text, multimodal data, as well as specialized categories such as multispectral, LiDAR, and DICOM images, and materials from sociological and marketing research.
Data collection methods:
crowdsourcing, web scraping and parsing, dataset creation from open sources, synthetic data rendering, and conducting surveys.
Data annotation to accelerate AI development across key industries using advanced technologies.

Data Annotation

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Data annotation for ML & AI models
Types of data:
3D, images, video, audio, text, multimodal data, as well as specialized categories such as VR/AR, multispectral images, LiDAR data, sensor telemetry, and medical data.
Annotation tools and software:
Computer Vision Annotation Tool (CVAT), Label Studio, Adobe Photoshop, Labelme, Supervisely, SuperAnnotate, Roboflow.
Data Annotation

Data annotation to accelerate AI development across key industries using advanced technologies.
Data annotation for ML & AI models
Types of data:
3D, images, video, audio, text, multimodal data, as well as specialized categories such as VR/AR, multispectral images, LiDAR data, sensor telemetry, and medical data.
Annotation tools and software:
Computer Vision Annotation Tool (CVAT), Label Studio, Adobe Photoshop, Labelme, Supervisely, SuperAnnotate, Roboflow.
Comprehensive solutions for content monitoring and moderation to ensure compliance with community guidelines.

Content Moderation

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Content moderation to ensure compliance with community guidelines
Task types:
Content and ad moderation, monitoring of messages and interactions, profile and document verification, product and service evaluation, seller checks on platforms, customer service audits.
Content types:
Images, video, audio, multimedia content, user profiles, advertising materials, tags and hashtags, reviews and ratings, AI-generated content, user messages.
Content Moderation

Comprehensive solutions for content monitoring and moderation to ensure compliance with community guidelines.
Content moderation to ensure compliance with community guidelines
Task types:
Content and ad moderation, monitoring of messages and interactions, profile and document verification, product and service evaluation, seller checks on platforms, customer service audits.
Content types:
Images, video, audio, multimedia content, user profiles, advertising materials, tags and hashtags, reviews and ratings, AI-generated content, user messages.
Efficient management of crowd-based projects designed for scalability and optimal cost performance.

Crowd Project Management

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Crowd Project Management
Data types:
images, video, audio, text, multimodal data, as well as specialized categories such as multispectral, LiDAR, and DICOM images, and materials from sociological and marketing research.
Platforms and tools:
Toloka, Amazon MTurk.
Crowd Project Management

Efficient management of crowd-based projects designed for scalability and optimal cost performance.
Crowd Project Management
Data types:
images, video, audio, text, multimodal data, as well as specialized categories such as multispectral, LiDAR, and DICOM images, and materials from sociological and marketing research.
Platforms and tools:
Toloka, Amazon MTurk.
A collection of high-quality curated datasets for efficient model training and testing.

Ready-to-Use Datasets

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Ready-to-use datasets for efficient model training and testing
Application areas:
Healthcare, fintech, retail, security, smart city, autonomous transport, agriculture.
Dataset categories:
Face images (selfies, including specialized types, face images of various ethnic groups, documents (IDs) and linked selfies for verification, anti-spoofing and replay attack datasets (Ibeta1, Ibeta2), marketplace product images, and vehicles.
Ready-to-Use Datasets

A collection of high-quality curated datasets for efficient model training and testing.
Ready-to-use datasets for efficient model training and testing
Application areas:
Healthcare, fintech, retail, security, smart city, autonomous transport, agriculture.
Dataset categories:
Face images (selfies, including specialized types, face images of various ethnic groups, documents (IDs) and linked selfies for verification, anti-spoofing and replay attack datasets (Ibeta1, Ibeta2), marketplace product images, and vehicles.
Comprehensive approach to LLMs — from data preparation to model optimization.

Large Language Models

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Validation of model outputs, fine-tuning, and creation of effective prompts for LLMs and VLMs
Key capabilities:
Data preparation, model fine-tuning, reward modeling, and reinforcement learning.
Application areas:
Chatbots and virtual assistants, text and data analysis, content generation, and data processing.
Large Language Models

Comprehensive approach to LLMs — from data preparation to model optimization.
Validation of model outputs, fine-tuning, and creation of effective prompts for LLMs and VLMs
Key capabilities:
Data preparation, model fine-tuning, reward modeling, and reinforcement learning.
Application areas:
Chatbots and virtual assistants, text and data analysis, content generation, and data processing.
A full range of solutions for generative artificial intelligence — from data preparation to model enhancement.

Generative AI

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Validation of model outputs, fine-tuning, and creation of effective prompts for LLMs and VLMs
Key capabilities:
Data preparation, model fine-tuning, reward modeling, and reinforcement learning.
Application areas:
Content creation and personalization, process automation, idea generation, and concept development.
Generative AI

A full range of solutions for generative artificial intelligence — from data preparation to model enhancement.
Validation of model outputs, fine-tuning, and creation of effective prompts for LLMs and VLMs
Key capabilities:
Data preparation, model fine-tuning, reward modeling, and reinforcement learning.
Application areas:
Content creation and personalization, process automation, idea generation, and concept development.
    • 7+
      years in AI data industry
    • 1500+
      skilled annotators
    • 5000+
      projects delivered
    • Security
      Use of modern cloud solutions for data storage and protection

      Data transfer via secure repositories

      Compliance with ISO/IEC 27001:2013 and ISO 9001:2015 standards

      Signed NDA
    • Flexibility
      Custom pricing for large-scale projects

      Cost and time optimization

      Free pilot project

      Post-payment option
    • Expertise
      Projects delivered across a wide range of industries

      Experience with various tools and platforms

      Data validation in every project

      Team of qualified specialist
    • Request
      Choose a convenient way to start working with us: fill out the form and our manager will get in touch with you — or schedule an online meeting via calendar.
    • Brief
      Our manager conducts a detailed briefing to discuss your project goals and requirements. Together, we review your technical task or help you prepare one if needed.
    • Pilot project
      We run a free pilot project and provide a golden set to finalize the technical specification, validate project metrics, and define pricing.
    • Contract
      Based on the pilot results, we prepare a commercial proposal, sign the contract, and launch the project.
    • Project delivery
      We assemble and train a team of annotators and assign a dedicated manager to ensure smooth project delivery and communication.
    • Review & approval
      The results are submitted for your review and approval, while our team prepares the final documentation package. The project is considered complete once the results are approved on your side.
    • Payment
      Payment is processed after the acceptance certificate is signed.
    • Submit a request

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