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AI Training Data

Custom datasets, evaluation benchmarks, and production-quality training corpora designed for your specific AI use case. From collection to annotation to delivery.

AI training data services

Data Engineered for Model Performance

Your AI model's ceiling is determined by your training data's quality. We build custom training datasets from the ground up — collecting raw data from targeted sources, curating it for relevance and diversity, annotating it with domain-expert precision, and delivering it in pipeline-ready formats. Whether you need 10,000 labeled medical images, a million instruction-response pairs for LLM fine-tuning, or a multilingual evaluation benchmark, we manage the entire data lifecycle so you can focus on model architecture and experimentation.

  • Custom dataset design aligned to model requirements
  • Data collection, curation, and annotation under one roof
  • Evaluation and benchmark dataset creation
  • Domain-specific data for healthcare, finance, legal, and more
  • Versioning, lineage tracking, and reproducibility
Capabilities

Training Data Services

End-to-end data solutions that turn your model requirements into production-ready datasets.

Custom Dataset Creation

We design and build datasets tailored to your model's specific requirements — from taxonomy definition and data sourcing to annotation and quality validation. Every dataset is built with your target distribution, class balance, and edge cases in mind.

Evaluation Benchmarks

Gold-standard test sets with expert-verified labels for measuring model performance. We build benchmarks that surface weaknesses in specific categories, demographics, edge cases, and adversarial inputs that standard test sets miss.

Continuous Data Pipelines

Ongoing data delivery for models that need fresh training data. We set up recurring collection, annotation, and delivery workflows that keep your models current with changing real-world conditions and emerging edge cases.

Multimodal Datasets

Aligned data across images, text, audio, and video for multimodal AI systems. We handle the cross-modal alignment, temporal synchronization, and joint annotation required for vision-language models and embodied AI.

Sensitive Data Handling

Training data built under strict security protocols for regulated industries. PII redaction, data anonymization, secure annotation environments, and compliance documentation for HIPAA, GDPR, and government security requirements.

Multilingual Data

Training datasets in 40+ languages with native-speaker quality. We source, translate, and annotate data for multilingual models, cross-lingual transfer learning, and locale-specific AI applications across the MENA region and beyond.

FAQ

Frequently Asked Questions

We implement a four-stage quality pipeline: AI-assisted pre-labeling for consistency, senior annotator review, automated validation against your taxonomy rules, and random-sample audits by domain specialists. We track inter-annotator agreement in real time and provide detailed quality reports with every delivery.
Yes. Our data scientists work with your ML team to translate model requirements into dataset specifications — including class taxonomies, target distributions, edge case definitions, annotation guidelines, and quality thresholds. We treat dataset design as an engineering discipline, not just a labeling task.
We handle datasets from thousands to millions of labeled samples. Our managed team model scales elastically — we can ramp from 10 to 200+ annotators within two weeks. Current clients run continuous data programs producing 100K+ annotations per month across multiple modalities.
Every dataset we deliver includes full version history, annotator metadata, quality scores, and changelog documentation. We support integration with DVC, MLflow, and Weights & Biases for seamless data versioning within your ML experiment tracking infrastructure.
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LLM Training Data

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Data Curation

Collection, cleaning, deduplication, and enrichment to build high-quality training corpora.

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Synthetic Data

Generate edge cases and rare scenarios to fill gaps in your real-world training data.

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Get Training Data Built for Your Model

Tell us your use case and data requirements. We'll propose a dataset design, pilot plan, and pricing within 48 hours.

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