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✦ For AI Teams & Research Labs

Stop guessing who your evaluators actually are.

ONTO gives AI teams access to a pre-screened pool of verified, reputation-scored human evaluators with longitudinal consistency data no crowdsourcing platform can offer.

500K+

Verified unique humans

7 yrs

Longitudinal signal depth

🔒 No commitment required · 20-min research call to start

Pilot Access · Limited spots

Request a research call

Blockchain infrastructure trusted byOntologyPolygonBNB ChainPolkadot+ AI partners in onboarding

The problem

Annotation quality is broken. You already know it.

Current evaluation pipelines rely on crowdsourcing platforms that can't tell you who your evaluators actually are — or how consistent they'll be.

Bots and duplicate accounts

No way to verify evaluator uniqueness. The same person, or a script, can submit hundreds of responses under different accounts.

Cold-start, no history

Platforms give you a task score from this batch. They can't tell you how this evaluator performed six months ago, or whether their quality has drifted.

Quality you can't predict

Agreement rate varies wildly between tasks and batches. There's no stable signal for "this evaluator is reliable" because there's no reputation to point to.

Recruitment overhead

Sourcing, vetting, and onboarding fresh evaluators for every project wastes weeks. The best evaluation work is done by people who already have context.

The biggest unsolved problem in RLHF isn't the algorithm. It's the humans. We have no reliable way to know if our evaluators are who they say they are, or whether they'll be consistent tomorrow.
Composite from conversations with ML researchers at leading AI labs, 2025–2026

ONTO solves this because

✓Every evaluator is a verified, provably unique human.
✓Reputation is built longitudinally with years of real signal.
✓No recruitment. Pool is pre-screened and always ready.
✓Quality is predictable, not a coin flip.

Why ONTO is different

Three things no annotation platform can offer.

Not because they haven't tried. Because the infrastructure doesn't exist anywhere else.

Verifiable Uniqueness

Every evaluator in the ONTO network is a provably unique human. Verified on-chain, Sybil-resistant by design. Not a policy. Not a checkbox. A cryptographic guarantee.

→ Zero duplicate accounts by design

Longitudinal Reputation

Reputation scores are built from years of real behavior across hundreds of tasks. Not just the last batch. You get a stable, predictive signal for evaluator quality before you commit a single task to them.

→ 7 years of longitudinal signal depth

Wallet-Native Identity

Identity lives in the user's self-custodial wallet, not in a platform database. Evaluators carry their reputation across tasks and protocols. The signal follows the human, not the account.

→ Reputation is portable, not platform-locked

How it works

From your pipeline to verified human signal.

A four-step supply chain designed to give AI teams reliable evaluators without the recruitment overhead.

Tell us what you need

Share your evaluation task type, volume, domain expertise requirements, and timeline. We match you to the right evaluator tier from the ONTO network. No sourcing required on your end.

You provide

Task typeRLHF, benchmarking, safety eval

DomainCoding, reasoning, STEM, general

VolumePilot: 500–5,000 tasks

Quality barReputation tier minimum

We surface the right pool

Evaluators are filtered by reputation score, consistency tier, domain track record, and verified uniqueness. You see aggregate pool stats before committing. No blind sourcing.

YOU SELECT

Reputation ScoreAbove 80

KYC StatusYes/No

Verified UniquenessGamers / Native Speakers / Crypto Degens

Verified SocialsEmail / Mobile / X / Twitch / Discord

Evaluators complete your tasks

Tasks are distributed to matched evaluators through the ONTO app. Evaluators are incentivized on-chain for faster turnaround and lower friction than traditional platforms.

Quality controls

Uniqueness checkOn-chain verified ✓

Attention / quality flagsAutomatic

Inter-annotator agreementTracked per task

Outlier filteringReputation-weighted

Deliver results + reputation update

You receive structured evaluation output. Each evaluator's reputation score is updated based on task performance making the pool smarter with every run.

You receive

Output formatJSON / CSV / API

Per-evaluator metadataReputation tier, agreement rate

Quality reportIncluded

Pool improvementAuto — flywheel effect

How we compare

ONTO vs. the alternatives.

Traditional annotation platforms were built for volume. ONTO is built for trust.

Capability	ONTO ✦ Recommended	Scale AI / Surge	MTurk / Prolific
Verifiable unique evaluators	✓On-chain proof	✗Trust-based	✗Account-based
Longitudinal reputation scores	✓7+ years of signal	–Task-level only	✗No history
Predictable evaluator quality	✓Reputation-predictable	–Managed workforce	✗Highly variable
Sybil resistance	✓Cryptographic	–Policy / manual	✗Not guaranteed
Evaluator owns their identity	✓Self-custodial wallet	✗Platform-owned	✗Platform-owned
No recruitment overhead	✓Pool always ready	✓Managed	✗You source
Pool improves over time	✓Flywheel reputation	–Manual curation	✗Static
Pilot with no commitment	✓20-min call to start	–Enterprise contract	✓Self-serve

✓ = Strong · – = Partial · ✗ = Not available. Comparison reflects publicly known platform capabilities as of May 2026.

Ready to explore?

Start with a 20-minute research call.

No pitch deck. No pressure. We want to understand your evaluation pipeline and share what we're building — then you decide if it's worth a pilot.

✓No commitment required to start a conversation
✓We respond within 24 hours of form submission
✓Pilots are structured to validate before you scale
✓Pilot partners help shape the product roadmap
✓User data stays self-custodial — we never hold your evaluators' keys

Pilot Access