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.

model_training
Efficiency
Reduce training time with tailored datasets.
security
Security
All data hosted in secure and compliant environments.
star
Quality
Improve AI outcomes with curated, high-precision data.












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.

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.
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)
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.
Still Have Questions on Data Services?
What are AI Data Services?
What are AI 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.
What is Data Annotation?
What is Data Annotation?
Data annotation labels unstructured data like text, images, audio or video to train AI models, helping them recognize patterns and make accurate predictions.
What is AI Data Collection?
What is AI Data Collection?
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.
What is AI Data Validation?
What is AI Data Validation?
AI data validation tests models using tailored metrics to ensure accuracy, reliability, and alignment with quality, ethical standards, and desired goals.
What is Translation for AI Datasets?
What is Translation for AI Datasets?
Translation for AI datasets adapts content into multiple languages, capturing cultural nuances to help AI perform effectively across diverse regions and linguistic contexts.
What is Content Rating?
What is Content Rating?
Data quality rating grades content by quality, relevance, or compliance, helping filter data and train AI for moderation and assessment tasks.
What is AI Data Generation?
What is AI Data Generation?
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.
What is Content Rewriting?
What is Content Rewriting?
Content rewriting refines existing text by improving clarity, context, or structure. It optimizes documents for better readability and usability in training AI models.
What is Transcription for AI?
What is Transcription for AI?
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.