Human-in-the-loop AI training
Power your artificial intelligence (AI) and machine learning (ML) projects with high-quality, compliant and scalable AI and ML model training data.
Human-in-the-loop (HITL) AI training
NashTech human-in-the-loop AI training services combine expert human validation with generative AI (GenAI) powered automation to provide multilingual data preparation, annotation, labelling and rigorous output validation.
Also known as ‘reinforcement learning human feedback (RLHF)’ or simply ‘human-in-the-loop’ (HITL), this service ensures your AI models are trained with accurate, bias-free datasets across more than 28 languages, meeting the highest industry standards.
AI models are only as good as the data they are trained on. HITL ensures accuracy, mitigates compliance risk and accelerates time-to-value by addressing the “garbage in, garbage out” problem that causes 78% of AI projects to fail.
We help our clients achieve more than 98.5% accuracy, up to 50% cost savings and scalable support from our Centre of Excellence in Vietnam. Our blend of skilled professionals and generative AI (GenAI) powered tools ensure quality, compliance and rapid scalability for global enterprises.
Eliminate unreliable AI outputs with reinforcement learning human feedback (RLHF)
Many organisations struggle with inconsistent, incomplete or biased training data leading to unreliable AI outputs. Without expert human review, automated systems can perpetuate errors and bias.
Increasing scrutiny from regulations like GDPR and the EU AI Act means AI training data must be ethically sourced, validated and auditable. Manual compliance is costly and error prone.
Manual data labelling and annotation cannot keep up with the scale required for modern AI/ML projects, delaying time-to-market by 6-9 months.
AI models often require training data in multiple languages or specialised domains, which is difficult to source and validate without a global, skilled workforce.
Building and maintaining in-house annotation teams is expensive and diverts resources from core innovation.
Assure accuracy, compliance and continuous improvement with human-in-the-loop AI training
Support global AI initiatives with high quality data. Our services ensure you achieve more than 98.5% accuracy across more than 28 languages.
Meet GDPR/EU AI Act standards with our highly skilled professionals and workflow management tools ensuring bias detection, accurate outputs and ethical compliance.
Our Centre of Excellence in Vietnam provides your organisation with rapid scalability. We have the capacity to handle millions of data points, reduce time-to-market and operational costs by up to 50%.
Automate up to 70% of routine tasks such as data cleansing, pre-labelling and anomaly detection and enable human experts to focus on complex or ambiguous cases.
We use KPI dashboards and continuous feedback loops to maintain higher than 99% accuracy, provide audit trails and drive continuous improvement.
Cut training cycles by up to 40% with human-in-the-loop AI training
Meet demand for rapid, reliable AI deployment. NashTech human-in-the-loop AI training services provide you with the resources and expertise to ensure your organisation’s AI initiatives are successful at global scale.
Faster speed-to-market
Automation and expert validation with HITL AI training, cut cycles by up to 40%, accelerating deployment and innovation.
Superior data quality and model performance
98.5-99.9% accuracy in training data improves AI reliability, reduces rework and enhances business outcomes.
Balanced innovation and risk mitigation
End-to-end compliance, bias detection and auditability ensure ethical, trustworthy AI, reducing regulatory risk by 90%.
Scalable, cost-effective operations
Up to 50% cost savings through offshore delivery and automation, freeing resources for core innovation.
Enhanced user and customer experience
High-quality, multilingual datasets enable AI solutions that deliver better customer engagement and satisfaction.
Faster speed-to-market
Automation and expert validation cut AI model training cycles by up to 40%, accelerating deployment and innovation.
Superior data quality and model performance
98.5-99.9% accuracy in training data improves AI reliability, reduces rework and enhances business outcomes.
Balanced innovation and risk mitigation
End-to-end compliance, bias detection and auditability ensure ethical, trustworthy AI, reducing regulatory risk by 90%.
Scalable, cost-effective operations
Up to 50% cost savings through offshore delivery and automation, freeing resources for core innovation.
Enhanced user and customer experience
Up to 50% cost savings and improved data quality directly contribute to higher profitability and sustained business growth.
Client outcomes
Client outcomes with human-in-the-loop AI training
Case study: Global technology leader powers e-commerce success with scalable AI/ML model training
data points audited and enriched in 28 languages
data accuracy rate consistently exceeds client’s 98.5% target
delivered at global scale to drive significant revenue growth
This global technology company partners with NashTech to audit and enrich millions of product listings for its e-commerce services in 28 languages. Our team delivers over 99% data accuracy, surpassing the client’s 98.5% target. We have also enabled scalable AI/ML model training. This resulted in improved customer trust and fostered significant revenue growth for our client.
Case study: Leading electronics manufacturer cuts processing times and improves accuracy with image labelling for AI
reduction in manual effort
accuracy target exceeded
images labelled for AI
NashTech labelled over 12 million images for an electronics manufacturer, achieving higher than 98.5% accuracy. This enhanced the performance of the client’s AI models, supported new product launches and reduced manual effort by 70%.
Case study: Global insurer
reduction in claims processing costs
of claims processing tasks automated
of automation funded by BPM savings
A global insurer used NashTech’s HITL AI training services to reduce its claims processing costs by 50% and automate 80% of the associated tasks, with the automation funded entirely by business process management (BPM) savings in the first six months.
Frequently asked questions
We combine GenAI-powered pre-annotation with expert human validation, achieving 98.5-99.9% accuracy across diverse data types and languages.
Yes, our teams cover more than 28 languages, ensuring global reach and local relevance for your AI/ML models.
Our human reviewers detect and correct bias, validate outputs for GDPR/EU AI Act compliance and provide audit trails for regulatory needs.
We support text, images, audio and video across industries including technology, insurance, retail and education.
With Centres of Excellence in Vietnam and India and a pool of more than 650 specialists, we can scale within 1-3 months to handle millions of data points and tight deadlines.
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