
Where Teaching Models to Speak Human Matters Most
VISION · SPATIAL · MOTION
REASONING · TOOL USE · EVAL
Autonomous
Vehicles
PERCEPTION · LIDAR · EDGE
ASR · TTS · 155+ LOCALES
Foundation
Model Alignment
RLHF · SAFETY · PREFERENCE
IMAGE · VIDEO · CROSS-MODAL
RECOGNITION
2026
WINNER
Fraud Detection and Prevention

2026
WINNER
Best Cyber Security Innovation

2026
FINALIST
Best Use of Data

2025
SHORTLISTED
Best Use of AI in Cybersecurity
The full stack of human intelligence for AI development.
01
AI Training Data
DATA COLLECTION
02
Human-in-the-Loop Evaluation
MODEL EVALUATION
03
RLHF & Preference Data
ALIGNMENT
05
Safety & Red-teaming
AI SAFETY
06
Custom Benchmark Design
BENCHMARKING
Generic contributors
produce generic results.
Your model deserves better.
Crowdsource platforms give you volume. They don’t give you domain expertise, cultural grounding, or the governance infrastructure that enterprise AI teams require. That’s the gap Welo Data was built to close.
Contributor quality, not just quantity
Welo Data’s rigorous qualification process ensures every contributor is domain-matched, not randomly assigned to tasks outside their expertise.
130+ behavioral variables. 1M+ events monthly. NIMO blocks fraudulent applicants, detects quality drift in real time, and provides the audit trail your governance team needs.
Enterprise compliance built in
7 ISO certifications, SOC 2, GDPR, HIPAA. 14+ secure facilities. Governance teams can show exactly how their training data was produced, by whom, and under what controls.
Not a platform. A partner.
Welo Data is not a self-serve marketplace. Every program is scoped, staffed, and monitored by our team, with a dedicated point of contact from kickoff through delivery.
From scope to production-ready
data and evaluation.
01
Scope & Design
We align on use case, languages, domains, quality thresholds, and deliverable format with your team before a single task is assigned.
02
Contributor Matching
Domain experts and native speakers are selected from our 500K+ vetted workforce. Every contributor is matched to the task, not randomly assigned.
03
Multi-layer QA with NIMO monitoring every session in real time. Inter-annotator agreement tracked continuously. Quality scores above 90% maintained throughout.
04
Delivery & Iteration
Structured data in your preferred format. Accuracy improves +10% per iteration. Ongoing support as your model evolves, with full auditability at every stage.
Every AI use case.
One trusted partner.
Voice data that reflects how real people talk, not how scripts were read.
Get in TouchImage, video, and cross-modal annotation for robotics, AV, and beyond.
Get in TouchPreference data that reflects real human values, not averaged crowd opinion.
Get in TouchEvaluation infrastructure for agentic AI, where automated metrics fall short.
Get in TouchProven in production.
MULTILINGUAL QA
Scaling QA across three global regions without losing fidelity
Major global technology company, 99%+ on-time delivery, 4.9/5 quality scores, <1% rejection rate
AI BENCHMARKING
Building reliable coding benchmarks for data science agents
Fortune 100 cloud technology company, expert-validated benchmark suite across data science domains
MACHINE TRANSLATION
Multilingual precision at scale: machine translation post-editing
Fortune 500 global e-commerce company, multilingual MTPE across production-scale content pipelines

“The quality bar Welo Data holds their contributors to is genuinely different. We’ve worked with other annotation vendors. The difference isn’t marginal, it’s the reason our model performs the way it does in production.”
HEAD OF AI, ENTERPRISE SOFTWARE COMPANY
What model builders and enterprises ask us.
READY TO SCOPE A PROGRAM?
Get answers specific to your use case.
Tell us your use case, languages, and quality requirements, our team will come back with a clear picture of scope, timeline, and what delivery looks like.
No. Welo Data is a managed services partner, not a self-serve marketplace. Every program is scoped, staffed with domain-matched contributors, and monitored by our team using NIMO, our proprietary quality system. You work with a dedicated program team, not a platform dashboard.
Timeline depends on task complexity, language coverage, and domain specificity, all of which we assess in the scoping conversation. Our team moves quickly once requirements are clear, and contributor matching typically happens in parallel with finalizing task design.
NIMO monitors 130+ behavioral variables across every annotation session, not just final outputs. Inter-annotator agreement is tracked continuously. Fraudulent contributors are blocked before they touch your data. Quality scores are consistently above 90%, with accuracy improving +10% per iteration.
7 ISO certifications, SOC 2, GDPR. 14+ secure facilities globally. Full audit trails on contributor identity, task assignment, and quality monitoring, so your governance team can answer how your training data was produced, by whom, and under what controls.
Yes. 155+ locales including dialects and regional variants that most annotation vendors simply don’t cover. Our 25+ years of language services work means we have established contributor networks in markets where others have to start from scratch.
Three things competitors can’t replicate: NIMO (our proprietary quality monitoring system, not a checklist layer); 25+ years of language services DNA from our Welocalize parent (actual multilingual infrastructure, not a translation API); and a rigorous contributor qualification process that produces domain-matched specialists, not a generic crowd.

Build AI that holds up
beyond the lab.
Tell us your use case, languages, and quality requirements, we’ll come back with a clear picture of what delivery looks like.


