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AI Data Services

For success in the AI age, not any data will do. Acolad delivers targeted, accurate, and reliable datasets to ensure the best possible AI and machine learning performance.

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Fuel Your AI with High-Quality, Multilingual Data at Scale

Efficiency

Reduce training time with tailored datasets.

Security

All data hosted in secure and compliant environments.

Quality

Improve AI outcomes with curated, high-precision data.

Our Edge in Multilingual AI Data Services

Implementing generative AI can deliver real-world business benefits. But your AI foundation is only as solid as the quality, relevance, and reliability of your data. Preparing actionable data can be time and resource-consuming, hobbling AI projects before they begin. That’s where Acolad helps.

By blending the power of AI with human expertise, we provide AI data services to meet all your data-related challenges, helping you scale and capitalize on the competitive advantages of AI. 

Language Model Expertise

Proven success in training LLMs across domains and languages.

AI + Human

Smarter data workflows combining tech precision with human validation.

500+ Language Combinations

Global scale with local nuance. Train your models for unparalleled reach.

Data Security and Quality

Enterprise-grade protection & ISO-certified quality for AI you can trust.

Scalable & Flexible

Custom workflows and agile teams to match your growth and complexity.

Innovative Technology

Next-gen tools for transcription, labelling and multilingual data.

The Real ROI of High-Quality AI Data

97%

of data leaders say poor data quality undermines AI initiatives (CDO Insights)

80%

Data preparation can consume up to 80% of AI project resources (IBM)

40%

Top AI adopters can scale and finish projects up to 40% faster (Deloitte)

$3.70

For every $1 invested in AI, companies can unlock returns of up to $3.70 (IDC)

Industry-leading AI Data Services

AI Data Consultancy

Expert guidance to help you plan, implement, and scale your AI data strategy. From data sourcing and workflow design to compliance and deployment, our consultants help you unlock the full potential of your multilingual data. 

Data Collection

Compiling the datasets you need to power AI efficiency. 
Any AI or machine learning model is only as powerful as its input. We gather the most relevant data in any language and any format, and vet it for relevance and diversity to match your project needs. Including audio, video, image and text collection, as well as text summarization.

Data Annotation

Transform raw data into a refined, contextual dataset ready for AI. 

Our data annotation specialists label and classify unstructured data, such as text, images, video and audio, to train and enhance your AI models with multimodal and multilingual content. Includes text categorization, audio, video and image classification, named entity recognition, sentiment analysis and intent annotation.

Data Validation

Assess the quality of your datasets and accuracy of your models. 

Can you really rely on the quality of your AI datasets and applications? Leverage our expert-in-control data validation services to ensure your AI model benefits from high-quality, culturally nuanced data you can rely on. Includes annotated data validation, search evaluation and ad evaluation.

Data Translation

Empower AI models to work better across languages.

Your dataset may be great in one language. But is it relevant in another? Our expert linguists and advanced AI language technology can translate your datasets into over 500 languages to tailor your AI model to your target audience. 

Transcription

Convert speech and audio into data for training AI. 

Data transcription services transform your audio content into a rich, structured text resource – especially valuable for natural language processing (NLP) and voice recognition model training. 

Become Part of Our Data Services Team

Are you looking for a flexible position that lets you work from anywhere? Discover exciting opportunities to contribute to innovative, creative projects. 

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Ready to Build AI Efficiency With Quality Data?

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Frequently asked questions

Still Have Questions on Data Services?

AI data services prepare and manage datasets to train and improve models, using tasks like annotation, collection, evaluation, translation, rating, generation, rewrites and transcription for high-quality results.

Data annotation labels unstructured data like text, images, audio or video to train AI models, helping them recognize patterns and make accurate predictions.

AI data collection gathers raw data from sources like audio, video, text, and user input to create diverse datasets, ensuring accurate AI training and real-world pattern recognition.

AI data validation tests models using tailored metrics to ensure accuracy, reliability, and alignment with quality, ethical standards, and desired goals.

Translation for AI datasets adapts content into multiple languages, capturing cultural nuances to help AI perform effectively across diverse regions and linguistic contexts.

Data quality rating grades content by quality, relevance, or compliance, helping filter data and train AI for moderation and assessment tasks.

Humans or generative AI creates synthetic data that reflects real-world patterns, boosting diversity and addressing privacy concerns in training machine learning models without relying on sensitive information.

Content rewriting refines existing text by improving clarity, context, or structure. It optimizes documents for better readability and usability in training AI models. 

Transcription converts audiovisual data into text using AI-powered tools combined with human corrections. This generates accurate data for training natural language processing (NLP) systems and voice recognition tech.