Data Augmentation Services
Enriching Datasets. Elevating AI Performance.
In the AI ecosystem today, data is both the foundation and fuel. When it comes to AI performance, raw synthetic datasets often lack the size, the balance, or the representation, and that is where our Data Augmentation expertise comes in. Crystal Hues can improve performance through data expansion and diversification strategies to enhance performance in AI environments, particularly for multilingual and cross-domain applications.
At Crystal Hues Limited, we create more intelligent, holistic, and representative data types that allow your AI models to learn better, generalize more, and afford greater functionality across languages, dialects, and use cases.
Why Data Augmentation is Critical to AI Success
AI models can only go as far as the training data allows. Training a dataset that is:
- Insufficient in volume
- Biased towards specific languages
- Not enough representation across categories
- Not enough variation in styles or context
...means the model cannot perform to its fullest potential. We help you extend your dataset in more dimensions and reach, without compromising authenticity or relevance.
Our Data Augmentation Services
Our enriched datasets drive:
Chatbots & Virtual Assistants
Sentiment Analysis Engines
Search & Recommendation Systems
Voice-to-Text & Speech AI
Translation & Localization AI
OCR & Document Processing Systems
Across sectors including financial services, health care, retail, legal, edtech and public sector.
Textual Augmentation Services
Through linguistic, grammatical, and contextual approaches, we can produce numerous variations of source data:
- Word and phrase substitutions
- Structural reorganization
- Translation cycling
- Re-approximation
- Modification of specific elements
Great for building NLP models in local language, limited-resourced contexts or multilingual contexts.
Cross-Lingual Data Enrichment
We build parallel datasets in multiple languages by enriching original materials with regional sayings, dialect variations, language mixing, and culturally relevant language to facilitate the multilingual AI lifecycle.
Entity Recognition (NER) enhancements
We include systematic variations in identifiers, time references, geography references, and product descriptor variations to improve the training of NER and intent classification models with more expanded recognition.
Domain Considerations
The training data for your AI applications (e.g., health care, legal space and retail), will be augmented to include domain-specific vocabulary, industry terminology differences, and context-specific adaptations to reflect genuine usage.
AI-Generated training datasets
Using LLMs (language models), both proprietary and open source, we created "realistic" yet synthetic datasets appropriate for classification, Q/A, summarization etc.
Our Process: From Content to Implementation
Information Extraction & Evaluation
- Complete review of your existing Dataset.
- Identify data gaps, biases and underrepresented groups.
- Identify targets and measures for augmentation.
- Determine appropriate augmentation techniques.
Customized Augmentation Pipeline
- Development of specific transformational algorithms.
- Configuration of language-based rule sets.
- Embedding domain-specific knowledge bases.
- Implementation of checks for quality assurance.
Scaled Production
- Systematic application of augmentation processes.
- Constant quality monitoring and modification.
- Progressive increases in a batch process with a large data mass.
- Real-time notes on transformation processes.
Verification and Refinement
- Review of augmented samples by outside experts.
- Statistical testing of distribution consistency.
- Verification of linguistic or semantic correctness.
- Refinement through iterations in quality checks.
Support for Implementation
- Delivery to fit the format and structure needed.
- Technical documentation of the data enhancement processes.
- Guidance to support your implementation.
- Support to enact post-delivery adjustments.
Why Should You Work with Crystal Hues Limited for Data Augmentation
Specialized Multilingual Expertise
With our extensive background in translation and localization, we are adept at language enhancement, respecting context, structure, and the nuances of language—a feat that generic data providers are not able to replicate.
Expert-Supervised Quality Assurance
Through automation for scale, the quality of every dataset is ensured by the review of qualified linguists and subject matter experts, guaranteeing consistency, tone, and ethics.
Tailor-Made Processing Systems
We develop enhancement workflows made for your model architecture, data structure, and language targets without a generic, one-size-fits-all processing.
Representation Balancing
We apply methodologies to counter underrepresented categories, dialects, or perspectives, thus providing your model with balanced and fair training material.
Protected Processing Environment
Your data and information are handled by data protection mechanisms (GDPR, HIPAA), and secured with confidentiality agreements, encryption protocols and on-site processing where needed.
Work With Us to Build Your AI Foundation
Whether you're looking to build a conversation system for mixed Hindi-English contexts, a solution for document processing of Arabic contents, or a regional market sentiment analyzer, our Data Augmentation services provide your AI the variability, depth and balance needed for successful large-scale deployment.
Enhance your data. Enhance your AI.