AI Data Services That Power Smarter Models

All great AI starts with great data - sourcing, cleansing, annotating, and validating data to ensure your models are trained on quality data, ethically sourced, and labels are true to your specific domain.

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Our services

Data Collection & Sourcing

We acquire multilingual, multimodal datasets from reputable, ethical, and relevant sources to help foster the success of predictive AI.

Data Annotation & Labelling

We provide human-led annotation services—tagging, classifying, and structuring data across various formats and languages, to help your AI perform to its optimal level.

Data Cleaning & Pre-processing

We optimize data quality with comprehensive cleaning, normalizing, and formatting for scalable machine-learning pipelines.

Text Translation & Localization

We provide accurate and culturally relevant translations in 200+ languages, for predictable global reliability, and language comprehension with AI.

Data Augmentation

We increase model robustness and reliability with synthetically produced, linguistically-consistent data to fill in gaps or features needed for modalities and training sets.

Semantic Annotation

We offer advanced tagging for: Entities, Intents, Sentiments, etc., with context-rich element tagging, for enhanced NLP understanding and contextual performance.

Quality Assurance & Evaluation

Responsible reviews and benchmark testing to capture data accuracy, consistency, and readiness of systems for AI deployment.

Customized Linguistic Resources

Custom glossaries, lexicons, and corpora built to suit the specific tone, language, and context your AI requires.

Sentiment and emotion analysis

In-depth sentiment and emotion tagging by professionals, adding nuance and empathy to machine-based communications.

Domain specific expertise

Data service expertise rooted in domains — perfect for regulated industries such as health care, legal or finance.

Data security & privacy support

Strong anonymization practices and accountability structures to protect sensitive data and meet obligations under global data legislation.

Testing & feedback for model iterations

Human-verified testing and guided feedback cycles provide iterative improvements and allow models to improve their outputs across domains and across languages.

Why You Should Work with Us

AI Data Lifecycle Support From End-to-End

We provide support for your data lifecycle from collection to validation, all under one roof!

Scalable Human-in-the-Loop Solutions

Our expert talent worldwide means fast turnaround and consistent human-backed quality assurance - at scale!

Domain Strategy-Driven Accuracy

From healthcare to fintech, our domain-aware data experts deliver you a service-honest data representation.

Data Security You Can Trust

We work with global privacy standards and utilize secure platforms throughout the lifecycle and any collaboration.

How Do We Execute Our Projects

1

Requirement Gathering

We start by learning about your data goals, domain specifications, and AI model requirements in order to determine the scope and workflow.

2

Data Planning

Our experts evaluate the formats, volume, sources, and delivery timeframe of your data to set up appropriate data pipelines and quality assurance methods.

3

Execution & Annotation

Each annotator, or linguist, manages a structured guideline accompanied by custom tools, and our quality assurance team monitors quality checkpoints of the guidelines.

4

Review & Quality Evaluation

We use multi-pass reviews, spot audits, and inter-annotator agreement (IAA) scoring to ensure every batch of your data meets performance and consistency requirements.

5

Client Feedback & Iteration

We will integrate client feedback to revise the guidelines or reprocess the dataset, and to ensure continual alignment and accuracy.

6

Final Delivery & Support

We deliver clean, annotated, and tested data in your preferred delivery format, ready for deployment in a model or additional iterations.

FAQs

We can work with text, images, audio, video, and multimodal data, pathway data, sourced, cleaned, annotated, and in the format you want.

We carry out multi-pass human reviews, we use inter-annotator agreement scoring, and we have a continuous feedback mechanism to ensure quality of the data.

Yes. We are compliant with GDPR, HIPAA, and other privacy regulations and we work on secure infrastructure with teams that are assigned to projects backed by NDA’s.

Yes, we have different workflows and annotators in domains such as legal, healthcare, e-commerce, etc, and we can customize accordingly.

This depends on the size of your project. Rest assured, with our global pool of trained annotators and agile workflows, our process is quick, your data is in good hands, and we don’t sacrifice quality.

Are you ready to power your AI journey from a strong and reliable data foundation?

Contact us today to find out how our customized AI Data Collection & Sourcing services can help strategically support your AI Data Collection and Sourcing initiatives and help you reach your desired goals.

Contact Us