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Human-centered data and evaluation for better AI and workforce intelligence. We connect enterprise engineering teams with verified domain experts to build, benchmark, and deploy reliable intelligence.
Transforming authentic domain expertise into high-fidelity AI models and workforce decisions.
Top 5% verified engineers, quantitative modelers, clinical researchers, and domain experts.
Ground-truth code architectures, multi-turn reasoning traces, and adversarial edge cases.
Standardized evaluation rubrics, RLHF feedback, and multi-dimensional verification audits.
Frontier models aligned on authentic human reasoning and verified domain accuracy.
High-confidence hiring, precise workforce allocations, and trusted AI deployments.
Access pre-vetted specialists who have completed rigorous sandbox evaluations across key technical disciplines.
Staff engineers in Rust, C++, distributed algorithms, and kernel architecture providing code execution evaluations.
PhD researchers in LLM reasoning, alignment guardrails, and adversarial red-teaming benchmarks.
Derivatives modelers, SEC accounting evaluators, and risk analysts validating complex financial logic.
Clinical trial evaluators, genomics researchers, and medical protocol reviewers ensuring diagnostic fidelity.
How engineering and talent organizations deploy LetGetIn human data.
Deploy 120k+ pre-vetted specialists to stress-test your proprietary AI models against domain-specific edge cases, hallucinations, and safety vulnerabilities.
Replace keyword guessing with audited human performance metrics across your candidate pool and internal engineering teams.
Leverage real-time global talent telemetry to forecast emerging skill scarcity and calibrate compensation benchmarks.
Integrate verified human checkpoints into critical automated business workflows to maintain quality and ethical compliance.
Speak with our enterprise data solutions group to commission custom evaluation sets, RLHF cohorts, or workforce capability mapping.