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The human layer for regulated AI.

Kelva delivers credentialed human review, verified expert reviewers, and full audit trails to medical, legal, and financial AI teams.

Request Enterprise Access Join as a Validator
GDPR
CCPA
EU AIACT

Built for AI teams in regulated industries

Clinical AILegal AIFinancial AIMedical AIAI Safety LabsResearch InstitutionsEnterprise AIGovernment AI Clinical AILegal AIFinancial AIMedical AIAI Safety LabsResearch InstitutionsEnterprise AIGovernment AI
Why Kelva
Not all human feedback is created equal
The AI industry relies on three models for human feedback. Only one gives you full transparency into who is evaluating your model.
Anonymous Crowds

The volume play

Millions of unverified workers completing tasks for cents. Fast and cheap — but you have no idea who's rating your medical AI.

  • No credential verification
  • No transparency into who reviewed
  • No domain expertise guarantee
  • Low cost per task
  • High volume capacity
Managed Services

The black box

Premium providers with expert annotators — but you can't see who they are, verify their credentials, or access them directly.

  • Some expert matching
  • No transparency into reviewers
  • No signed record per output
  • No portable validator scores
  • High cost, long contracts
Kelva

The signed record

Credentialed professionals with verified licenses, visible accuracy scores, and full audit trails — and a signed record for every output reviewed.

  • Every credential independently verified
  • See exactly who reviewed your data
  • Signed record for every review
  • Portable Kelva Score for validators
  • Pay per task, no lock-in
The Network
Every expert, fully transparent
Unlike other platforms, Kelva shows you exactly who evaluated your AI — their credentials, accuracy history, and domain expertise. No anonymous labor. No black boxes.

Every validator on Kelva is independently credentialed against issuing authorities — state medical boards, bar associations, university faculty directories. Their identity, license, and review history are visible to enterprise customers in every audit trail.

How every reviewer gets verified
01 · License

Checked against the issuing authority: medical boards, bar associations, pharmacy and NPI registries.

02 · Identity

Persona confirms the applicant is the license holder: government ID plus a live selfie.

03 · Agreement

Every reviewer signs our NDA before their first task.

04 · Ongoing

Licenses re-verified annually and at renewal.

Validator Tiers
A clear hierarchy. Visible to every customer.
Every validator's tier is shown in the audit trail. You always know exactly who reviewed your data and what their qualifications are.
TIER 1
Licensed Professionals
Fully credentialed experts in active practice or with institutional affiliation. The credentialed core of every Kelva audit trail.
Board-Certified Physicians (MD)
Bar-Admitted Attorneys (JD)
CFA Charterholders
Tenured University Faculty
Access All tasks · highest-stakes reviews
TIER 2
Credentialed Trainees
Late-stage trainees from accredited programs and institutions. Tier 2 reviewers work under Tier 1 supervision. Every signed record carries a Tier 1 license.
Medical Residents & Fellows
PhD Candidates in Research Domain
Final-Year Law Students (3L)
Senior Research Fellows
Access Standard tasks · Tier 1 supervised reviews

Enterprise customers control which tier reviews their data. Need only Tier 1 licensed professionals for clinical AI? Set the minimum credential and Kelva routes accordingly. Every audit trail shows the validator's tier and credentials transparently. Tier 2 reviewers work under Tier 1 supervision. Every signed record carries a Tier 1 license.

How It Works
Two sides. One platform.
Kelva is the marketplace where credentialed professionals and AI companies find each other — with full transparency on both sides.
For Validators

Get paid for your expertise

Doctors, lawyers, researchers, and journalists — get paid for evaluating AI outputs in your field. Pay is set per review and scales with your specialty and the depth of the work.

01
Verify credentials — submit your medical license, bar ID, or faculty appointment
02
Complete matched tasks — rate AI responses, flag hallucinations, rank accuracy
03
Build your Kelva Score — a portable credential you can put on your LinkedIn
For AI Companies

Expert review, signed and delivered

Submit AI outputs through the dashboard, specify the credentials you need, and get each one back reviewed and signed by a verified professional.

01
Upload via the dashboard — single outputs or batches; API in early access
02
Auto-matched to experts — our engine routes to the right credentialed validators
03
See who reviewed — full audit trail with validator profiles, scores, and reasoning
Domains
Expert feedback where stakes are highest
AI companies building in regulated, high-liability verticals can't afford anonymous feedback.

Medical AI

Board-certified physicians evaluate clinical AI outputs. Full audit trail for FDA compliance and institutional review.

Legal AI

Bar-admitted attorneys review AI-generated contracts and legal research. Credentialed validation for malpractice-sensitive products.

Media & Fact-checking

Credentialed journalists flag hallucinations, verify claims, and evaluate AI-generated content against editorial standards.

Financial AI

CFA charterholders review AI-generated investment analysis, risk assessments, and regulatory filings for accuracy.

Academic & Research

University faculty and PhD researchers validate AI outputs. Built for institutional partnerships with research universities.

AI Safety & Red Teaming

Domain experts stress-test AI models for hallucinations, bias, and safety failures with structured adversarial evaluation.

See It In Action
The product, not just the pitch
Use both sides of the marketplace — submit an AI output for review, then switch roles and sign a review yourself.
Interactive product preview · illustrative data
app.kelva.ai/dashboard
New Task
draft
1 · AI output to review
2 · Credential requirement
Simulated — nothing is sent anywhere.
Dashboard — Acme AI
example workspace
Tasks this month
4,218
Avg turnaround
2.4hr
Avg confidence
0.94
Active Batches
BatchDomainTasksProgressStatus
batch_8f2a9xCardiology250
Complete
batch_3k7mzpContract Law180
In Progress
batch_9w4htnPharmacology500
In Progress
batch_2p8qvrAI Safety100
Matching
Live review — Acme Clinical Assistant
production
Review policy
Phased oversight: every output is signed before release. Sampling unlocks only once the record earns it.
214 / 250 signed approvals before sampling unlocks
Outputs today
1,284
Signed
1,271
Blocked before release
3
Review queue · click any row to open its signed record
TimeOutputReviewerStatus
Results — batch_8f2a9x
Complete — 250/250
Confidence
0.94
Agreement
0.91
Response B preferred
73%
Evaluations — Task #1
Dr. Sarah Chen
Interventional Cardiologist · Academic medical center, New York
94
Preferred Response B — specifies 90-minute door-to-balloon time per ACC/AHA guidelines. Includes ticagrelor loading dose for dual antiplatelet therapy. Correctly notes RV involvement check before nitroglycerin.
Dr. Marcus Williams
Emergency Medicine · Level I trauma center, Chicago
91
Preferred Response B — from an EM perspective, the 90-minute window is the decisive factor. Response A's "immediate intervention" is vague without specific time targets.
Dr. Priya Sharma, FACC
Cardiologist · University hospital, Toronto
96
Preferred Response B — both responses should have mentioned antiplatelet therapy (aspirin + P2Y12 inhibitor). Neither mentioned contraindications assessment for a real clinical scenario.
Your Validator Network
ValidatorSettingTasksAccuracyScore
Dr. Priya SharmaUniversity hospital, Toronto1,58398.2%96
Dr. Sarah ChenAcademic medical center, New York1,24797.1%94
Dr. Ravi MehtaUniversity hospital, Baltimore2,10495.7%93
James Whitfield, JDCommercial practice, New York89394.8%91
Dr. Marcus WilliamsLevel I trauma center, Chicago89293.5%91
app.kelva.ai/validate
Good morning, Dr. Chen
$2,847 this month
Today
$142
Accuracy
97.1%
Streak
12d
Available Tasks
Production · Cardiology$40.00
Sign off a patient-facing medication message try it
Live output, held for sign-off · Board Certified MD
Cardiology$22.00
Evaluate cardiac diagnosis AI responses try it
~5 min · Preference ranking · Board Certified MD
Pharmacology$40.00
Flag drug interaction hallucinations
~10 min · Hallucination detection · MD or PharmD
Oncology$180.00
Full treatment plan review — Stage III NSCLC
~35 min · Expert review · Oncology specialist
Contract Law$40.00
Review AI-generated NDA clause
Bar Admitted JD required — locked
Review — Cardiology · $22.00
preference ranking
Prompt given to the model
62-year-old male, crushing substernal chest pain radiating to left arm, diaphoresis, 40 min onset. ECG: ST elevation V2–V4. What is the immediate management?
Pick the safer response
Clinical note (editable)
Production sign-off — Cardiology · $40.00
1 Read·2 Check·3 Decide·4 Sign
⚠ Live output from Acme Clinical Assistant. It is held and will not reach the patient until a licensed reviewer signs.
Patient context
82-year-old woman · 58 kg · serum creatinine 1.1 mg/dL · newly diagnosed non-valvular atrial fibrillation · CHA₂DS₂-VASc 5 · no history of bleeding
AI output: message to the patient
“Your care team recommends starting apixaban 5 mg by mouth twice daily to lower your risk of stroke. Take it at about the same times each day, with or without food. Don’t stop taking it without talking to your doctor.”
Simulated — nothing is sent anywhere.
Wallet
$4,218.50
Available balance
Recent
Cardiology — Preference
Today, 2:14 PM
+$22.00
Pharmacology — Hallucination
Today, 11:32 AM
+$40.00
10-Day Streak Bonus
Today, 12:00 AM
+$25.00
Oncology — Expert Review
Yesterday, 4:21 PM
+$180.00
Quality Bonus — 97%+ Accuracy
Mar 21
+$150.00
Your Kelva Score
94
Kelva Score
Elite Validator — Top 3%
DomainAccuracyTasks
Cardiology97.1%847
Pharmacology95.7%289
General Medicine93.2%111
Share on LinkedIn · Copy Profile Link
For Developers
Send an output. Get back a signed review.
API in early access for design partners — the dashboard is available today.
python · preview
# Send an AI output for signed review import kelva client = kelva.Client("kv_...") review = client.reviews.create( domain="cardiology", credential_min="board_certified", output="Recommend aspirin 325mg, activate cath lab...", context="62M, chest pain, ST elevation V2–V4", ) # Every result is a signed record result = review.wait() print(result.verdict) # approved_with_note print(result.signed_by.name) # Dr. Sarah Chen print(result.signed_by.credential) # Board-certified, verified print(result.signed_at) # 2026-10-17T14:02:11Z print(result.record_id) # kv1:8f2a9c...

Early access

Join the API pilot. We'll work directly with your team on the integration.

Full reviewer transparency

See exactly who evaluated your data — their name, credentials, accuracy history, and Kelva Score. No anonymous labor.

Credential filtering

Specify board-certified, bar-admitted, PhD, or custom requirements. Only matching validators see your tasks.

Audit-ready compliance

Full audit trail for FDA and EU AI Act documentation. Every evaluation traceable to a verified professional.

Pricing
Simple pricing. Fully transparent.
Clear prices per review, set by specialty and depth — adjusted for rare specialties, extra reviewers, or volume. 80% goes to the reviewer, 20% to Kelva. You see the total cost before you submit — no surprises, no hidden margins.
Price set per review
Based on specialty, credential level, and depth of review
You see total cost upfront
Review the per-task price before submitting. No commitments until you approve
20% goes to Kelva
The rest goes directly to the validator. That's it. No subscriptions, no minimums

Starter

For teams exploring credentialed feedback

20%
platform fee per task
  • Up to 1,000 tasks/month
  • Dashboard access
  • Standard credential matching
  • Email support
  • Turnaround agreed upfront
Most Popular

Growth

For teams integrating into their pipeline

20%
platform fee — volume discounts available
  • Up to 25,000 tasks/month
  • API in early access
  • Advanced credential filtering
  • Priority support & Slack
  • Priority turnaround

Enterprise

For AI labs with custom requirements

Custom
negotiated rate for high volume
  • Unlimited tasks
  • Dedicated validator pool
  • Custom credential requirements
  • Dedicated account manager
  • Custom SLA & NDA
Security & Compliance
Enterprise-grade security. Audit-ready from day one.
Medical and legal AI companies can't afford data leaks. Kelva is built for regulated industries where compliance isn't optional.

End-to-end encryption

All data is encrypted in transit over TLS, served through Cloudflare. Your AI model outputs are never exposed to unauthorized parties at any point in the evaluation pipeline.

Full audit trails

Every evaluation is traceable to a verified professional — who reviewed, when, what credentials they hold, what they said. Built for FDA submissions and EU AI Act documentation requirements.

Dedicated validator pools

Enterprise customers can restrict access to pre-approved reviewers only. Your data is never seen by anyone you haven't vetted — full control over who touches your model outputs. Reviewers only see the output they're asked to review — never your model, training data, or other customers' work.

NDA-protected workforce

Every validator signs a binding non-disclosure agreement during onboarding. Storing, screenshotting, or redistributing AI outputs is a contractual violation with legal consequences.

Credential verification

Credentials are verified against issuing authorities — state medical boards, bar associations, university registrars. No self-reported expertise. Reviewer identity is verified with Persona — government ID plus a live selfie, matched to the license holder. Annual re-verification on all active validators.

Infrastructure security

Built on Cloudflare, whose infrastructure is independently audited to SOC 2 Type II and ISO 27001. Every connection is encrypted over HTTPS, with DDoS and bot protection at the edge. Kelva is an EU-based company operating under GDPR. Our own SOC 2 Type II audit is on our roadmap.

HIPAA
Designed for compliance
EU
EU AI Act
Audit-trail ready
GDPR
Compliant by design
Persona
Identity-verified reviewers
FAQ
Common questions
Every validator submits their professional license, board certification, bar admission, or academic appointment during onboarding. We independently verify each credential against the issuing authority — state medical boards, bar associations, university faculty directories. We then confirm the applicant is the license holder through Persona, with a government ID and a live selfie. Verification typically takes 1-2 business days. Unverified users cannot access any tasks. We re-verify credentials annually and when licenses are up for renewal.
The Kelva Score is a composite rating (0-100) that measures a validator's reliability across five dimensions: task accuracy (40%), inter-rater agreement (25%), reasoning quality (20%), consistency and volume (10%), and response time (5%). It's a portable credential — validators can share it on LinkedIn and professional profiles. For AI companies, the Kelva Score is the trust signal that replaces "we hope our annotators are good" with verifiable proof.
Two fundamental differences. First, transparency — most human feedback platforms are black boxes where you never see who reviewed your data. Kelva shows you exactly which credentialed professional evaluated your AI output, their accuracy history, and their reasoning. Second, the deliverable. Most providers hand back a label. Kelva hands back a signed record: who reviewed, which credential, what they decided, and when.
Each review has a clear price based on the specialty, the credential level, and the depth of review. Prices adjust for rare specialties, multi-reviewer consensus, and volume — and you always see the total before you submit. 80% goes to the reviewer, 20% to Kelva. No subscriptions, no minimums, no lock-in. Request access and we'll price it for your use case.
Kelva supports two kinds of work. Signed review: a licensed professional reviews a real output from your AI and signs off on it — approved, approved with a note, or flagged — with reasoning. Evaluation: preference ranking, hallucination detection, accuracy rating, free-form correction, multi-turn dialogue evaluation, red teaming, and full expert document review. Tasks range from 5-minute checks to 45-minute deep reviews, with pricing that scales accordingly.
It depends on the specialty and depth of review. While we onboard founding partners, we agree turnaround with each team upfront. Results come back per review as each one is signed, so you don't wait for a whole batch.
Yes. All data is encrypted in transit. Validators operate under NDA and cannot store, screenshot, or redistribute any AI outputs they review. SOC 2 Type II is on our roadmap, and we are designed to be HIPAA-compliant for medical AI customers. Enterprise tier supports dedicated validator pools where only pre-approved reviewers see their data. Full audit trails are maintained for regulatory compliance including EU AI Act requirements.
Yes — this is one of Kelva's strongest use cases. The EU AI Act requires documented human oversight for high-risk AI systems, which includes medical and legal AI. Kelva provides a full audit trail showing exactly which credentialed professional reviewed each AI output, their qualifications, their assessment, and their reasoning. This documentation is designed to satisfy the human oversight requirements that regulators will be looking for.
Because regulators are starting to ask who checked the AI. The EU AI Act requires human oversight for high-risk AI systems. In Utah, the state now lets AI renew and even write prescriptions — but only under agreements that require licensed clinicians to review the AI's decisions, every one at first and then a sample. California's SB 1120 requires a physician to make medical-necessity decisions in health-plan review, and the FDA's guidance on clinical decision support looks at whether a qualified professional can independently review the AI's output. Payers increasingly ask for the same proof. In every case, you need to show who reviewed it, with which credential, and when. That's the record Kelva produces.

Built for the AI that has to be right.

Kelva connects your AI to credentialed clinicians, attorneys, and financial experts — every review signed, every credential verifiable, every audit trail defensible.

Where AI gets reviewed before regulators do.

Illustrative record · demo data
kelva.ai
Signed Review Record
Customer
Output type
Received
Signed
AI output under review

Reviewer’s assessment

✓
✓Identity verified by Persona: government ID plus live selfie, matched to the license holder
✓Reviewer NDA on file
This record is immutable and exportable for FDA submissions, EU AI Act documentation and audits.
Integrity hash: