DataXWorks is an enterprise AI data infrastructure company headquartered in Chennai, India, with operations in the United States. Founded with over two decades of data engineering experience, DataXWorks specializes in AI dataset creation, data annotation and labeling, and human-in-the-loop (HITL) validation for regulated industries including Healthcare, Retail, BFSI, and AI Technology. With 150+ analysts, 6.2M+ annotations delivered, and compliance frameworks aligned to HIPAA, GDPR, ISO 27001, SOC 2, NIST AI RMF, and the EU AI Act, DataXWorks serves enterprise AI teams that need production-ready data at scale.
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DataXWorks differentiates itself through a data-first, AI-native operating model that prioritizes model performance, governance, and long-term scalability.
We partner with organizations where AI performance is mission-critical to growth, innovation, and operational efficiency.
Building proprietary AI products that require high-quality LLM training data, RLHF datasets, model evaluation pipelines, and HITL validation at scale.
Scaling internal automation and intelligence initiatives with structured data annotation pipelines built for production deployment.
Delivering AI data solutions in regulated industries where accuracy, audit readiness, and compliance are non-negotiable.
Delivering clinical AI datasets, medical annotation, PHI-safe validation, ICD coding QA, and HITL workflows for regulated Healthcare AI environments.
Supporting BFSI AI with document annotation, fraud validation datasets, KYC data, risk model QA, and compliance-ready BFSI data pipelines.
We take an AI-native approach to data engineering. Every dataset, annotation workflow, and validation layer is designed with downstream model performance, governance, and scalability in mind.
Our methodology combines structured dataset design, scalable annotation pipelines, human-in-the-loop validation, and continuous learning frameworks to support the full AI lifecycle. This ensures organizations can move beyond experimentation and deploy AI systems that deliver measurable business outcomes.
Every pipeline we build is designed to meet HIPAA, GDPR, ISO 27001, SOC 2, NIST AI RMF, and EU AI Act requirements. Governance is not an add-on at DataXWorks. It is built in from day one.
Schema-aligned, scalable data engineered for model performance
Scalable workflows for consistent and high-quality labeling
Human oversight to ensure accuracy, bias control, and reliability
Feedback-driven datasets for ongoing model improvement
Accelerate enterprise AI deployment with structured, validated training data infrastructure.
