We find the humans AI needs.
When the panels come up empty, we find the people.
Human Layer builds custom human datasets for the populations, environments, languages, and use cases crowdsourcing platforms struggle to reach. We recruit, verify, manage, and collect data from real humans for AI training, model evaluation, voice, video, multimodal systems, RLHF, agent evaluation, and expert feedback.
Built on more than a decade of real-world participant recruitment and a network of 350,000+ people.
Real people behind Human Layer.
AI may be the technology. People are still the company.
AI doesn't just need more data. It needs the right humans.
Anyone can scrape another dataset. The hard part is finding:
- A board-certified physician.
- A cybersecurity executive.
- A clinical radiologist.
- A bilingual Spanish-English household.
- A specific vehicle owner.
- A patient with a rare condition.
- A subject-matter expert capable of evaluating an advanced model.
Human Layer was built for that problem.
When the panels come up empty, we find the people.
Verified Expert
Verified Expert
Verified Expert
Hard-to-Reach Population
Hard-to-Reach Population
Hard-to-Reach Population
Verified Expert
Verified ExpertSpecialized. Verified. Human.
Human data operations built for production AI.
From finding the right humans to collecting, reviewing, governing, and delivering the data, Human Layer manages the complete human side of the pipeline.
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.
Most data companies start with the data. We start with the human.
The people your model needs aren't always sitting in a database. We find them, verify them, qualify them, and document the human signal from person to production dataset.
- Starts with existing data
- Broad anonymous crowds
- Limited provenance
- Mostly digital tasks
- Starts with the human
- Verified and qualified people
- Chain-of-Human-Custody™
- Remote + real-world collection
The quality of the model can never exceed the quality of the humans behind the data.
Bring us the data project everyone else says is too hard.
Don't see your problem listed? Good. Those are usually the projects we like.
Challenge Human Layer
Tell us the human. We'll build the pipeline.
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.
- 01
Define
You give us the population, task, schema, geography, scale, and acceptance criteria.
- 02
Source
Active outreach beyond panels - referrals, communities, social channels, past-study intelligence.
- 03
Screen
Human recruiters validate fit, qualifications, consistency, and risk signals.
- 04
Verify
Identity, credential, eligibility, and consent confirmed before participation.
- 05
Collect & Evaluate
Voice, video, text, preference, annotation, expert review, or real-world behavior.
- 06
Deliver
Structured, reviewed, governed human data delivered against your specifications.
Built for teams where human quality matters.
Frontier AI Labs
Voice & Conversational AI
Healthcare AI
Autonomous & Automotive AI
Robotics
Multimodal AI
Agentic AI
Enterprise AI
Hyperscalers
Localization & Multilingual AI
AI Safety & Evaluation
Research Organizations
Know the human behind the signal.
Synthetic data is increasing. AI-generated content is everywhere. Online identities are becoming harder to trust. Human Layer gives AI teams something increasingly valuable: a truly verified human signal.
Every program can be designed around participant identity, qualification, consent, provenance, data rights, collection methodology, QA, and delivery requirements.
From the person who generated the signal to the dataset your model receives.
- Participant category & verified credentials
- Identity & qualification confidence scores
- Recruit source & screener notes
- Participation, completion, and quality flags
- AI-assisted response risk markers
Global reach. Human execution.
Human Layer combines U.S.-based client strategy and recruitment infrastructure with international operations capable of supporting multilingual data programs and follow-the-sun production.
United States
Client strategy, program design, recruitment, participant operations, governance, and delivery.
India
Annotation, review, multilingual QA, operational support, and expanded production capacity across time zones.
One operation. One quality standard. One governed pipeline.
We've been finding real people long before AI made them valuable.
People buy evidence.
Representative figures from delivered programs. Client names withheld under NDA.
“Highest pass rate among partners.”
“Recruited 10 specialists in 41 minutes.”
“Strong IDIs from complicated studies.”
The humans behind Human Layer.
Technology changes quickly. Trust is still built by people. Human Layer brings together participant recruitment, global operations, technology, quality, and human-data expertise to help AI teams find and manage the humans their systems depend on.
Jim Jacobs
Built Human Layer out of a decade of sourcing and verifying hard-to-find humans for research.
Aanchal Bhatia
Leads product development and engineering for Human Layer, including the platform itself.
Chandra
Built and maintains Human Layer's data backend and provenance systems.
Elisa Garcia
Leads recruitment and verification for Human Layer's expert data programs.
Karela Boker
Leads recruitment and verification for Human Layer's expert data programs.
Not a panel. A system.
Tell us who you need. We'll map the right human-data program - experts, consumers, clinicians, engineers, multilingual speakers, voice and video participants, or niche populations.
Scope a Project- 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.
Not ready to scope? 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.
What does Human Layer do?+
Human Layer recruits, verifies, and manages the humans behind AI training and evaluation datasets - including voice, video, multimodal data, expert feedback, RLHF, human preference data, model evaluation, and specialized real-world collection.
How is Human Layer different from a labeling company?+
Most labeling companies begin with data that already exists. Human Layer can begin before the dataset exists. We source and verify the humans required to create it, then manage collection, review, quality, governance, and delivery.
Can Human Layer recruit specialized experts?+
Yes. Specialized recruiting is one of our core strengths, including physicians, business executives, engineers, cybersecurity professionals, patients, vehicle owners, multilingual speakers, and other difficult populations.
Can Human Layer support custom projects?+
Yes. The more unusual the population, environment, geography, or data requirement, the more relevant Human Layer becomes.
Can Human Layer support multilingual programs?+
Yes. We can recruit and operate multilingual and international programs across time zones, combining U.S. program design with international production capacity.
Can Human Layer support sensitive or regulated projects?+
Programs can be designed around participant verification, consent, privacy, data governance, provenance, security requirements, and customer-specific protocols. We scope those requirements with your team directly.
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, 350,000+ verified people, 2,400+ projects delivered, and a proven record of difficult, hard-to-find recruiting.
What happens when we scope a project?+
We clarify your population, task, modality, geography, timeline, verification requirements, and acceptance criteria - then recommend the right pilot path. Response within 24 hours.
The internet is filling with synthetic noise. Human truth is becoming premium data.
AI models are increasingly learning from content influenced or generated by other AI systems. That makes high-quality, verified, provenance-backed human data more important - not less.
Human Layer exists to make sure the next generation of AI still has access to real human experience, expertise, judgment, language, behavior, and preference.
What humans does your model need?
Doctors. Executives. Drivers. Patients. Engineers. Multilingual speakers. Consumers. Experts. Entire communities.
Tell us who you need, what you need them to do, and what the dataset needs to look like.
Response within 24 hours.
We'll build the human layer.