Enterprise AI Training Data & Evaluation That Works Everywhere It Matters

Deliver AI that performs across languages, cultures, and domains—powered by enterprise-grade training datasets, human-in-the-loop validation, and quality systems you can measure.

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AWARDS 2025
Best Use of AI in Cybersecurity
(Shortlisted)

OUR TRUSTED PARTNERS AND CUSTOMERS

Why AI Fails in the Real World

AI that skips context, culture, and compliance – costs you trust.

Most AI looks good in controlled tests. But when it meets real customers, it misses nuance, introduces bias, or fails industry checks.

Poor or biased training data makes these problems worse. That’s where Welo Data comes in: we generate and validate datasets that catch gaps before they damage your brand.

Human-Centered AI Infrastructure for Global Teams

We’re builders and researchers from the frontlines of AI—driven by one belief: as AI evolves, the data shaping it must evolve too.

Welo Data combines vetted global expertise with fraud-mitigated workforce management and measurable quality systems. From synthetic generation to annotation to human evaluation, we deliver complete data pipelines designed for enterprise AI.

What We Deliver

Global AI training data & evaluation

in 100+ languages and locales

Domain-specific expertise

across healthcare, finance, legal, and technical systems

Fraud-mitigated pipelines (NIMO)

with identity checks, anomaly detection, and verified contributors

Transparent quality systems

with benchmarks, reporting, and continuous validation

Enterprise-Ready AI Services

Whether you’re building foundation models or deploying enterprise AI, we provide the infrastructure to move fast without compromising trust.

Supervised Fine-Tuning (SFT) Services

Improve accuracy with domain-specific LLM fine-tuning data and workflows.

Reinforcement Learning from Human Feedback (RLHF)

Optimize model behavior with expert human-in-the-loop rubrics and large-scale feedback pipelines.

Human-in-the-Loop AI Evaluations

Access enterprise human-in-the-loop services with 500K+ vetted experts across 40+ specialized domains.

AI Red Teaming & Safety Testing

Conduct AI red teaming, bias audits, and vulnerability assessments before deployment.

Data Generation

Generate training data for AI and machine learning, including text, audio, image, and multimodal datasets.

Data Annotation Services

High-quality AI data annotation services for text, image, video, and audio labeling at enterprise scale.

AI Model Benchmarking & LLM Selection

Compare, score, and select models with AI model benchmarking frameworks and LLM evaluation metrics.

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Why Leading Enterprises Choose Welo Data

AI leaders need proof they can trust. For us, quality isn’t a claim, it’s a system. That’s why we built our entire infrastructure to prove it. Every metric reflects the safeguards, cultural fluency, and domain expertise woven into our workflows. With Welo Data, scale and quality are inseparable.

500k+

Curated Experts

850M

Tasks Completed in 2024

250

Locales

200+

Domain Expertise

Welocalize ISO Certifications

6000

Global Employees

24/7

Support

5 Billion+

Tasks Done To Date

There’s no way around human input when it comes to making human-like machines. Welo Data proves that you can balance the cost of real human feedback without cutting corners on quality, delivery, or reliability.

AI Search Engine leader, 2024

See the Results

Trusted by global platforms, media ecosystems, and tech leaders here’s how Welo Data’s work shows up in real-world impact:

Scaled multilingual QA across regions without losing fidelity — by managing local nuance and compliance in emerging markets.
Elevated search & localization accuracy for a media ecosystem — improving relevance and user satisfaction across languages.
Provided 24/7 secure coverage for a sports-app launch — fast ramp, strict data integrity, and global consistency.
Strengthened content integrity through expert reviews — reducing harmful outputs and ensuring moderation alignment.
Improved LLM reasoning with structured prompts & expert evaluation — boosting performance in challenging tasks.
Enhanced alignment & relevance in user-facing models — promoting safer, more helpful responses in production.
Deployed expert rater recruitment & quality control at scale — ensuring contributor trust and data reliability.