Expert intelligence advancing AI toward real-world reasoning
FoundryHQ helps AI systems learn how to behave in the real world. We design expert-driven training, evaluation, and feedback systems so models learn from judgment, context, and real constraints, not just patterns in data. not just patterns in data.
Partner with usTraining AI for code generation, system architecture, and technical reasoning with production engineering expertise
Built by ML engineers who've deployed production AI systems
Led by engineers who have deployed AI systems in production, our work is grounded in how models actually fail and improve over time. Our expert network is carefully vetted, calibrated, and matched to tasks where their real-world judgment directly impacts model behavior.
Compound verification for frontier AI reliability
Standard annotation optimizes for speed and cost. We focus on systems where small errors compound and precision directly affects model capability, safety, and trust.
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Expert Review
Domain experts evaluate outputs using task-specific rubrics and context that generic labelers miss.
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Adversarial Validation
Independent reviewers intentionally probe edge cases, failure modes, and incorrect assumptions.
ML Consistency
Automated and human checks ensure judgments remain consistent across reviewers and over time.
Your precision partner for frontier AI development
From environment design to expert evaluation, we deliver end-to-end systems for training and validating AI models. Our work supports frontier research, production deployment, and agentic systems where correctness and behavior matter.
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Leading specialists advancing AI capabilities
Our expert community directly supports model training and evaluation. Engineers, analysts, and domain professionals from diverse background create demonstrations, judge outputs, and validate behavior where automated metrics fall short.
Join as an expertHuman intelligence, guiding the path to AGI
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