Stop Training AI on Mystery Humans.
Verified real humans for AI training, RLHF, model evaluation, expert feedback, multimodal workflows, and human-data provenance - backed by 10 years of recruiting operations.
FAKE humans create FAKE insights.
AI teams pay premium rates for human judgment. But a dangerous question is emerging: can you prove the person behind the data is real? Fake experts, bots, AI-assisted responses, recycled identities, and weak verification quietly contaminate the signal your model depends on.
Fake Humans
Anonymous profiles hide bad actors, recycled identities, and low-quality respondents.
Fake Experts
Premium expert data loses value when expertise cannot be verified.
AI-Assisted Responses
A “human” answer may quietly be generated or edited by an LLM.
Weak Provenance
If you cannot trace data back to a verified person, trust breaks down.
Synthetic Overuse
Synthetic data still needs real human grounding to stay anchored to reality.
Vendor Black Boxes
Many vendors sell access, not accountability or documentation.
The old game was volume. The new game is trust.
As synthetic data grows and AI-assisted responses become common, verified real humans become more valuable - not less. The teams that can prove their human signal will have a data-quality advantage. The teams that cannot will be guessing.
From human sourcing to human proof.
The Chain-of-Human-Custody™ - a documented path from initial outreach to delivered signal, so your team can defend every data point in your training pipeline.
Define
Clarify the exact people your model needs - experts, consumers, patients, engineers, niche audiences.
Source
Active outreach beyond panels - referrals, communities, social channels, past-study intelligence.
Screen
Human recruiters validate fit, qualifications, consistency, and risk signals.
Verify
Identity, credential, and behavior checks before participation is allowed.
Manage
Scheduling, reminders, replacements, incentives, and live participation oversight.
Document
A defensible trust trail - who, why qualified, what completed, what risk reduced.
Verified humans for the AI workflows that need real judgment.
Preference Ranking
Humans rank, score, compare, and improve model outputs with auditable reasoning.
Model Evaluation
Experts test accuracy, reasoning, relevance, safety, and usefulness.
Expert Feedback
CPAs, lawyers, clinicians, engineers, executives review specialized outputs.
Healthcare AI
Clinicians, patients, caregivers, pharmacists, and medical specialists.
Finance AI
CPAs, CFOs, controllers, auditors, financial advisors, business operators.
Legal AI
Attorneys, paralegals, compliance experts, legal operations professionals.
Enterprise Agents
Real workflow users test copilots, agents, and productivity tools.
Voice AI
Real speakers, accents, languages, emotions, and conversation scenarios.
Video & Multimodal
People completing tasks, reacting, explaining, demonstrating behavior.
Multilingual AI
Native speakers, regional dialects, cultural context, localized feedback.
Consumer AI
Real consumers giving emotional, behavioral, and preference-based feedback.
Synthetic Calibration
Verified humans provide ground-truth baselines synthetic data needs.
Every human signal should have a trust trail.
When AI depends on human data, your team should be able to answer: who was the human, why did they qualify, how were they screened, what did they complete, and can we defend the record?
- Participant category & verified credentials
- Identity & qualification confidence scores
- Recruit source & screener notes
- Participation, completion, and quality flags
- AI-assisted response risk markers
Book a Verified Human Data Discovery Call.
Tell us who you need. We'll help you map the right verified human-data strategy - for experts, consumers, clinicians, engineers, multilingual speakers, voice and video participants, or niche audiences.
Book a Discovery Call- 01Human Audience MappingClarify exactly who your AI workflow needs.
- 02Use Case ReviewTraining, RLHF, evaluation, feedback, voice, video, workflow.
- 03Verification RequirementsIdentity, expertise, experience, location, behavior, quality.
- 04Sourcing FeasibilityHow difficult the audience is and how to reach them.
- 05Pilot RecommendationOutline the best next step for a verified human-data pilot.
We've spent 10 years finding the humans others couldn't.
“Highest pass rate among partners.”
“Recruited 10 specialists in 41 minutes.”
“Strong IDIs from complicated studies.”
Not a panel. A human-sourcing system.
The humans your AI needs are not always sitting in a database. They are in professional communities, patient groups, workplaces, online forums, and real workflows. We know how to find them - and document them.
Not ready for a call? Check your human-data risk first.
Take the 7-minute Human Data Provenance Scorecard™ and see where your AI training, RLHF, or evaluation pipeline may be exposed to fake humans, weak credentials, or AI-assisted responses.
Get My Human Data Risk ScoreQuestions AI data teams ask before trusting a new partner.
Are you just another panel?+
No. A panel is one source. Human Layer AI combines active sourcing, referrals, targeted outreach, recruiter validation, participation management, and provenance documentation.
What types of humans can you recruit?+
Experts, consumers, clinicians, patients, caregivers, engineers, finance professionals, legal experts, enterprise users, multilingual speakers, voice and video participants, and niche audiences.
Can you support RLHF and model evaluation?+
Yes. We source humans for ranking, scoring, reviewing, comparing, correcting, testing, and evaluating model outputs.
How do you verify people?+
Through layered screening, human recruiter validation, qualification checks, consistency checks, project-specific criteria, participation history, and quality signals.
Can you prevent AI-assisted responses?+
We reduce risk through better task design, screening, timing review, human moderation, suspicious-pattern checks, and response-quality review.
Can you scale?+
10 years operating, 300K+ verified people, 2,410 projects delivered, and a proven record of difficult, hard-to-find recruiting.
Can you handle niche or hard-to-find audiences?+
Yes - hard-to-find humans are the core of our history. We use active sourcing, referrals, communities, and targeted outreach.
Do you work with AI data vendors?+
Yes. We support frontier labs, data vendors and aggregators, and enterprise AI teams.
What happens on the discovery call?+
We clarify your audience, use case, modality, timeline, verification requirements, and recommend a verified human-data pilot path.
What happens after the call?+
If there is a fit, we scope a verified human-data pilot or recruiting engagement.
Verified human signal is getting harder to find - and more important to trust.
The teams that can prove their human signal will have a data-quality advantage. The teams that cannot will be guessing.
Your AI deserves better than mystery humans.
Book a discovery call to explore verified real humans for AI training, RLHF, model evaluation, expert feedback, and human-data provenance.
Real Humans · Verified Signal · Better AI