Human Evaluation for AI Models You Can trust
Spin up multilingual human evaluators in 24-48 hours. 99%+ consistency, <2% defect targets, and enterprise-grade controls. Finally — evaluation that's fast, rigorous, and production-ready.
Why Choose Olympus IQ
Human-powered annotation and AI evaluation — fast, consistent, multilingual. We deliver enterprise-grade data labeling, review, and insights for your AI model development.
Instant Scalability
Deploy evaluation teams in 24-48 hours across time zones with specialized expertise.
- 24-48h team deployment
- Follow-the-sun operations
- Surge hiring capacity
Quality You Can Measure
99%+ consistency and <2% defect targets via multi-pass QA and calibrated reviewers.
- 99%+ consistency rates
- <2% defect targets
- Multi-pass QA validation
Human-in-the-Loop OS
Smart task routing, reviewer workflows, red-flag system, gold-set injection, and feedback loops.
- Smart task engine
- Automated QA workflows
- Real-time monitoring
Multilingual Specialists
Evaluators for Safety, Math, Medicine, and domain-specific tasks across 30+ languages.
- 30+ languages covered
- Domain-specific expertise
- Native speaker accuracy
Operational Transparency
Live dashboards for throughput, consistency, SLA adherence, and escalation rates.
- Live performance metrics
- Transparency dashboards
- Audit-ready reporting
Security & Compliance
NDA-signed workforce, strict access controls, SOC2-aligned processes, IP and rights tagging.
- 100% NDA coverage
- SOC2-aligned workflows
- Enterprise access controls
Proven Performance
Ready to pressure-test your model?
Tell us your target languages, task types, and metrics. We'll scope a pilot in days - not weeks.
How It Works
A streamlined 5-step process that delivers high-quality evaluation with transparency and continuous improvement.
Scope
Define goals, policies, languages, and success metrics. We co-design rubrics and a small pilot.
Spin up
Recruit and calibrate evaluators; micro-train on your tasks and scoring guidelines.
Deliver
Run at agreed SLAs with layered QA, randomized checks, and continuous sampling.
Improve
Error analysis and rubric iteration to lift signal quality and reduce rework. Weekly readouts.
Report
Transparent dashboards and downloadable audit trails for complete visibility.
Scope
Define goals, policies, languages, and success metrics. We co-design rubrics and a small pilot.
Spin up
Recruit and calibrate evaluators; micro-train on your tasks and scoring guidelines.
Deliver
Run at agreed SLAs with layered QA, randomized checks, and continuous sampling.
Improve
Error analysis and rubric iteration to lift signal quality and reduce rework. Weekly readouts.
Report
Transparent dashboards and downloadable audit trails for complete visibility.
Scope
Define goals, policies, languages, and success metrics. We co-design rubrics and a small pilot.
Spin up
Recruit and calibrate evaluators; micro-train on your tasks and scoring guidelines.
Deliver
Run at agreed SLAs with layered QA, randomized checks, and continuous sampling.
Improve
Error analysis and rubric iteration to lift signal quality and reduce rework. Weekly readouts.
Report
Transparent dashboards and downloadable audit trails for complete visibility.
What We Deliver
Expert human annotation and evaluation for AI teams — model testing, audit-ready insights, and red-teaming. We support your models; we don't train our own.
Our Testing Capabilities
LLM Preference & Instruction-Following
Pairwise comparisons, rubric-based scoring, reward-modeling input, guideline compliance
Safety & Policy Evaluation
Harmful content detection, jailbreak resistance, hallucination checks, moderation policy fit
Multimodal Judgment
Image caption alignment, audio/speech comprehension, cross-modal consistency checks
Reasoning & Math Validation
Step-by-step verification with error taxonomy for technical prompts
Who We Help
AI Startups
Spin up judgment quickly without building internal ops teams or infrastructure.
Enterprise Product Teams
Controlled workflows, multilingual coverage, audit-ready QA for production systems.
Research Labs
Precise, fast experiments with scientific rigor and reproducible results.
Speech & Vision Teams
Cross-modal annotation and evaluation to align models in the wild.
Custom Solutions,
Proven Results
We believe in proving value before scaling. Start with a tailored pilot project that demonstrates how our human annotation and evaluation services improve your model outcomes.
Pilot-First Approach
Start small, prove value, then scale with confidence
Risk-Free Testing
Validate our approach before committing to larger projects
Custom Solutions
Tailored evaluation frameworks for your specific use case
Proven Results
Data-driven insights that improve your AI model performance
Our Pilot Project Process
A proven 3-step approach to demonstrate value and build confidence in our annotation and evaluation methodology.
Discovery Call
30-minute consultation to understand your data labeling, annotation, and evaluation requirements
Pilot Design
Custom workflow and guidelines for annotators, tailored to your dataset and use case; includes rubric and QA plan
Pilot Execution
Small-scale human annotation and evaluation on your sample data—demonstrating quality, consistency, and transparency
No upfront costs • Custom pricing • Proven methodology
Ready to Start Your Pilot?
Let's connect about your annotation and evaluation challenges and create a tailored pilot project that showcases the value of expert human review.
Frequently Asked Questions
Get answers to common questions about our AI model evaluation approach and pilot project process.
We begin with a short consultation to understand your objectives and model type. Next, we create a tailored evaluation plan, matching your requirements for data labeling, annotation, or human judgment. The pilot phase takes 2-4 weeks and delivers a detailed report with metrics, strengths, weaknesses, and recommendations, so you can assess our impact before expanding.
Still have questions?
Our team is here to help. Get in touch for personalized answers and to discuss your AI model needs.
Start Your Pilot Discussion