
For AI Labs & Enterprises
Connect your AI lab with 5,000+ vetted specialists across 105+ domains. Generate high-quality RLHF feedback, training data, and model evaluation at scale.
Capabilities
From RLHF preference data to adversarial red-teaming, our expert network delivers the specialized training data that makes models exceptional.
Human preference rankings, pairwise comparisons, and reward model training data from domain experts who understand nuance.
95% inter-annotator agreementHigh-quality instruction-response pairs crafted by PhD-level experts across 105+ domains for fine-tuning foundation models.
50K+ pairs/week capacityAdversarial testing by security researchers, ethicists, and domain specialists to identify model vulnerabilities before deployment.
200+ red-team specialistsSpecialized datasets for medicine, law, finance, STEM, and emerging fields — created by practitioners, not generalists.
105+ expert domainsMulti-layer annotation pipelines with consensus mechanisms, quality scoring, and automated anomaly detection.
99.2% accuracy rateStructured evaluation frameworks with domain-expert judges for benchmarking model performance across specialized tasks.
Custom rubric designHow It Works
Share your model's training needs, domain focus, quality standards, and volume targets. We'll design a custom data pipeline.
Our AI matches your project with vetted experts based on domain expertise, quality history, and availability.
Multi-layer QA with peer review, statistical modeling, and automated quality detection ensures premium output.
Real-time dashboards, feedback loops, and elastic capacity let you scale from pilot to production seamlessly.
Why IXO
Enterprise-grade security and data handling
Every expert signs project-specific NDAs
5,000+ vetted specialists across 40+ countries
Guaranteed response times for enterprise clients
RESTful APIs for seamless pipeline integration
Scale from 100 to 100,000+ tasks per month
Case Studies
Challenge: Needed 50,000 expert-quality RLHF comparisons across medical, legal, and financial domains within 6 weeks.
Result: Delivered 52,000 comparisons with 96.3% quality score, 2 days ahead of schedule. Model accuracy improved 12% on domain benchmarks.
Challenge: Required 200+ red-team specialists to stress-test a new foundation model across 15 attack categories before launch.
Result: Identified 340+ unique vulnerability patterns. 89% of critical issues were caught before public release, preventing potential safety incidents.
Challenge: Building a domain-specific coding assistant required 10,000+ expert-reviewed code samples with detailed explanations.
Result: Delivered 12,500 reviewed samples from senior engineers. The fine-tuned model achieved 94% pass rate on internal benchmarks, up from 71%.
Join the leading AI labs using IXO for premium training data. Schedule a personalized demo with our enterprise team.
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