Real Physicians.Verified Expertise.Better Clinical AI.
Recruit NPI-matched, actively licensed U.S. physicians for model evaluation, clinical reasoning, red teaming, safety review, and expert feedback.
Identity, license, specialty, and project-specific qualifications are verified before participation.
Receive a feasibility assessment and recommended cohort plan within one business day.
- NPI Matched
- License Checked
- Specialty Confirmed
- Project Qualified

Human Layer AI Is New.The Experience Behind It Is Not.
Human Layer AI is backed by Focus Insite's established recruiting, verification, and project-delivery infrastructure, recognized for growth, leadership, workplace culture, and operational execution.

2× Inc. 5000
Repeatedly recognized among America's fastest-growing private companies.

Soaring 76
Named among the Philadelphia region's fastest-growing businesses.

Great Place to Work Certified
Recognized for building a strong, people-first operating culture.



Recognition Matters.Execution Matters More.
More than 2,400 research and recruiting projects delivered with rigorous sourcing, participant verification, operational management, and client support.
Medical AI Doesn't
Fail Quietly.
When clinical models are trained or evaluated by anonymous, unqualified, or poorly matched contributors, small errors can become unsafe recommendations, missed diagnoses, and real-world harm.
When the stakes are clinical, "close enough" is not good enough.
Verified physicians bring real clinical judgment, specialty knowledge, and accountability to every evaluation.

Anonymous contributors create anonymous accountability.
Verified physicians create defensible clinical feedback.
Physician Profiles Are Easy to Find.
Verified Clinical Expertise Is Not.
Generic marketplaces give you self-reported profiles. Human Layer AI provides documented evidence of identity, licensure, specialty, and project fit.

Generic Marketplace Profile
SELF-REPORTED- Claimed identity
- Self-reported credentials
- Broad specialty label
- Minimal task screening
- No documented contribution history
Human Layer Verified Physician
VERIFIED- Identity matched
- NPI record matched
- Medical license checked
- Specialty confirmed
- Project-specific qualification
- Contribution history documented
The Profile Is the Claim.
Verification Is the Product.
Credential Verification Is Not a Checkbox.
It Is a Defensible Record.
Each physician moves through a risk-adjusted workflow that documents identity, licensure, specialty, project fit, and contribution readiness.
Dr. Maya Alvarez, MD
Cardiology · Texas
- IdentityVerified
- NPIPending
- Medical LicensePending
- SpecialtyPending
- Project QualificationPending
- Liveness CheckPending
- 01
Identity Match
Match the contributor to a documented identity.
- 02
NPI Match
Match the physician against the National Provider Identifier registry.
- 03
License Verification
Confirm active state licensure and relevant jurisdiction.
- 04
Specialty Validation
Validate specialty, board certification, and clinical background.
- 05
Project Qualification
Confirm task-specific experience, disease-state knowledge, and project fit.
- 06
Risk-Based Assurance
Add liveness or video verification when the project risk requires it.
Step 06 applies to higher-risk workflows and is not required for every project.
Verification Depth Adjusts to Project Risk.
A low-risk survey and a high-stakes clinical safety evaluation should not use the same verification standard.
- Identity
- NPI
- Medical license
- Specialty
- Experience
- Project screening
- Video or liveness
- Deeper credential review
- Contribution monitoring
Built for More Than Recruitment.
Verification produces a defensible record that supports every downstream review.
Document who completed the work.
Trace qualifications and screening decisions.
Preserve credential and verification evidence.
Connect model feedback to its human source.
Every Clinical Judgment
Should Have a Verifiable Source.
Every contribution is connected to a verified physician, documented qualification record, completed task, and preserved quality-control history.

Provenance Snapshot
- ContributorVerified Physician
- SpecialtyCardiology
- Credential StatusActive
- TaskClinical Response Evaluation
- CompletionTimestamp Recorded
- Quality ReviewPassed
- Audit StatusTraceable
- 0101Verified
Identity Verified
Contributor identity is documented and matched.
- 0202Verified
Credentials Confirmed
NPI and active medical license are verified.
- 0303Verified
Specialty Validated
Relevant clinical expertise is confirmed.
- 0404Verified
Project Qualified
Task-specific requirements are documented.
- 0505Verified
Contribution Completed
The work is tied to the verified physician.
- 0606Verified
Quality Record Preserved
Review results and timestamps are retained.
Every Contribution Ends With an Audit-Ready Record.
Preserve who completed the work, why they were qualified, what they delivered, and how the contribution was reviewed.
Document review decisions and contributor performance.
Provide a clear record of who completed the work.
Preserve verification, qualification, and completion evidence.
Connect model outputs to their original human source.
Put Verified Clinical Judgment Inside Your AI Workflow.
Engage verified U.S. physicians to evaluate model outputs, explain clinical reasoning, build benchmarks, identify safety failures, and improve patient-facing communication.

AI: Likely acute decompensated heart failure. Recommend chest X-ray, BNP, and diuretic therapy with electrolyte monitoring.
- Clinical Accuracy4.5 / 5
- Reasoning Quality5 / 5
- Completeness4 / 5
- Safety FlagNone
Reasoning is sound. Add BNP threshold context and mention renal function before diuretic initiation.
Evaluate Model Responses
Physician reviewing an AI-generated clinical response against defined evaluation criteria.
Review generated clinical answers against defined accuracy, reasoning, completeness, and safety criteria.
- Structured scores
- Written rationale
- Safety flags
- Corrected responses
Model evaluation, fine-tuning, RLHF, launch readiness, and ongoing monitoring.
Built for Healthcare AI Teams That Need Defensible Human Expertise.
From clinical copilots to healthcare LLMs, Human Layer AI provides verified physician judgment for products where accuracy, safety, and provenance matter.

Clinical AI Product Teams
- Decision support
- Medical copilots
- Diagnostic assistance
- Patient-facing AI
Validate clinical accuracy, reasoning quality, and patient safety before deployment.
Healthcare Operations Platforms
- Ambient scribing
- Hospital workflow automation
- Utilization management
- Payer technology
Test products against real clinical workflows, edge cases, and operational constraints.
AI Research and Safety Teams
- Healthcare LLMs
- Medical search
- Drug safety
- Clinical-trial technology
- Medical education
Build benchmarks, red-team failures, and create traceable physician-authored data.
Building Something Outside These Categories?
We design physician cohorts and verification workflows around the model, task, specialty, and risk level.
From Broad Physician Cohorts
to Hard-to-Reach Specialists.
Recruit verified U.S. physicians by specialty, clinical experience, practice setting, geography, disease-state expertise, and project-specific criteria.
Specialty Is Only the Starting Point.
We qualify physicians for the exact clinical context, workflow, patient population, and task your project requires.

Illustrative sample. Actual cohort composition and availability confirmed during feasibility review.
Ready to Scope Your Physician Cohort?
Tell us the specialty, qualifications, task, and timeline. We will assess feasibility and recommend a cohort plan.
- Feasibility assessment
- Recommended cohort structure
- No commitment required
Prove the Human Layer
Before You Scale It.
Start with a scoped physician pilot designed to validate cohort quality, verification depth, workflow fit, turnaround, and cost before expanding.
- Cohort definition
- Feasibility and compensation review
- Verification protocol
- Physician sourcing and qualification
- Participation and task management
- Completion and provenance summary


Share the specialty, task, cohort size, and timeline. We will assess feasibility and recommend a pilot structure.

Healthcare AI Is New.Our Physician Recruiting Infrastructure Is Not.
Human Layer AI is powered by Focus Insite, an established healthcare recruiting operation with more than a decade of experience finding, qualifying, scheduling, and managing difficult professional and patient cohorts.
We are not building a physician marketplace from scratch. We are applying proven recruiting operations to clinical AI training, evaluation, and safety workflows.
Experience finding narrow specialties, rare profiles, and highly specific clinical experience.
Knowledge of physician incentives, availability, scheduling, and participation expectations.
Established systems for qualification, communication, incentive management, and delivery.
Identity, credential, specialty, and project-specific qualification checks.
Proven Recruiting Operations.Rebuilt for the Human Layer of AI.
The technology is new. The hard work of finding, qualifying, and managing the right humans is not.
From project brief to completed physician contribution.

- 01Define the cohort and task
- 02Assess feasibility and compensation
- 03Source, verify, and qualify physicians
- 04Coordinate onboarding and participation
- 05Deliver completion and provenance records
Timing depends on specialty, cohort size, task complexity, verification depth, and physician availability.
Answers for operations, verification, and workflow.

NPI verification is a standard option and can be required for every project. Depth is configured to project risk.
Yes. State-license verification is available across all U.S. jurisdictions relevant to your project.
Yes, including hard-to-find subspecialties with disease-state or procedural targeting.
Yes. We support written, structured, voice, and multimodal asynchronous workflows.
Yes. Scheduled live sessions, recorded interviews, and moderated evaluations are supported.
Compensation is set per project by specialty, complexity, time commitment, and market benchmarks. We manage honoraria.
Yes. NDAs, restricted-access workflows, and controlled data-handling requirements are standard.
Yes. Physicians can operate inside your platform or ours, depending on workflow.
Timing depends on specialty and verification depth. Request feasibility to receive a realistic launch estimate.
No. Human Layer AI recruits professionals for research and AI-development work only. We do not provide medical care or patient-specific medical advice.
The right specialist cohort takes planning.
Physician availability changes by specialty, geography, workload, and launch date. Starting feasibility early gives your team more options and reduces pressure to compromise on fit or inflate incentives.

The quality of your clinical AI starts with the quality of your physicians.
Tell us which physicians you need, what they need to do, and when you need them. We'll recommend a sourcing, verification, and pilot plan around your project.
