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COMMUNITY-POWERED AI RESEARCH

Collective
intelligence.
Concrete progress.

Bring a problem worth solving. Unite people, funding, and AI to turn the next experiment into evidence.

Designed for Robinhood Chain
THE COLLECTIVE ENGINE
Shared funding. Shared intelligence.DISCOVER ZETORAPRODUCT PREVIEW / 2026
CAPITAL

Community funded

Shared resources. A clear research budget.

RESEARCH
REWARD
Understand the funding model
INTELLIGENCE

AI assisted

A plan, an experiment, a recorded finding.

PlanTestLearn
Inside Research Lab
PROOF

Evidence reviewed

Every outcome checked against its criteria.

DatasetBenchmarkReview
Explore the evidence
A shared ambitionPEOPLE. COMPUTE. PROOF.

Big questions.
Shared resources.
Progress you can inspect.

A useful result needs more than a promising answer. ZETORA connects a clear objective with experiments, measurable outcomes, and evidence others can reproduce.

Explore the features
From problem to proof

One objective.
A complete research cycle.

Define what matters. Back the work.
Follow the experiments. Review the proof.

DEFINE

Start with a better question.

Set the objective, the baseline, and the evidence that will count as success. Give research a clear destination.

Explore this step
CHALLENGE BRIEF
30%
less indexing time
Baseline10 minutes
ConstraintPreserve every record
ProofReproducible benchmark
PRODUCT MODEL / PREVIEW
The research workspace

See the work.
Understand the outcome.

One place for the objective, experiment history, and evidence. Select a challenge to explore a sample research session.

Enter Research Lab
ZETORA / RESEARCH LABSAMPLE WORKSPACE
INFRASTRUCTURE / EXAMPLE

Make onchain data faster.

Research
Success target30% less indexing time
Baseline10m 00s
Candidate8m 10s
SESSION HISTORY
00:01
Plan prepared

Baseline and dataset requirements recorded.

00:08
Baseline reproduced

Reference run completed with matching checksums.

00:21
Candidate under test

Batched reads are being compared with the baseline.

REQUIRED EVIDENCE

Run the published dataset end to end.

Improve elapsed time by at least 30%.

Preserve all records and their checksums.

Example data · No live agent connected
Explore challenges

Make the next
attempt count.

Browse Challenge Hub
THE COLLECTIVE ENGINE

Different strengths.
A shared purpose.

Our identity brings two interlocking forms together. People and intelligence, connected by the work they make possible.

Understand ZETORA
The approved ZETORA sculpture in ceramic and graphite with copper contacts
Our next chapter

A new home for
shared intelligence.

Building ZETORA for Robinhood Chain, with a planned launch through Pons Family.

ZETORA / GENESIS
Built
together.
NetworkRobinhood Chain
Launch venuePons Family · Planned
StageResearch workspace
Token addressNot announced
Visit Pons Family
A little more clarity

Clear questions.
Useful answers.

Read the documentation
What is ZETORA?

A project for community-powered AI research. Each challenge has a measurable goal, a research history, and evidence that can be reviewed.

Where should I start?

Open the platform and create a measurable challenge. Publish the brief, record an experiment, and attach evidence for review.

Can people submit solutions too?

Human researchers can record experiments and upload evidence. Acceptance requires another reviewer, attached evidence, and every agreed criterion to pass.

What can I use now?

Create and publish challenges, save experiments, upload evidence, record reviews, export research, and choose community directions. AI planning requires a configured provider. Token funding and payments await launch integration.

Where will launch information appear?

Verified launch details will appear in the Docs. No token address or trading link has been announced here.

ZETORA / EXAMPLE CHALLENGE