GenLayer
The missing layer of the internet

Decentralized AI consensus that lets AI agents resolve contracts and disputes at machine speed.

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Ecosystem
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01 · The problem

The next billion internet users won't be human.

They will be agents.

Unlike any humans before them, agents never sleep, reason at the frontier for cents per task, operate globally, and can't hold assets, yet they will transact. By 2030, ~$9T of online spend could be agent-mediated.

And when they disagree, today's systems fail.

The legal system is too slow (2.6 years, $43K). Smart contracts are too rigid: no ambiguity, no PDFs, no real-world signals. Reputation is too fragile: fakeable and useless for ephemeral agents.

The agentic stack has a hole where disputes go.

Payments (x402), identity (ERC-8004) and interoperability (A2A) are all shipping. None of them ships dispute resolution. Machine-speed money needs machine-speed adjudication.

02 · What is GenLayer

A consensus between many minds.

GenLayer is a decentralized network where many independent AI models each reason on their own, then reach agreement on questions that have no single deterministic answer, producing one trustworthy outcome the whole network can rely on, in minutes.

0 of 1,000 validators selected
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03 · How it works

Subjectivity in, a decision everyone trusts out.

01
1
Optimistic Democracy

A random set of validators, each running a different model, reaches consensus. A leader proposes an answer, the others verify it, and disputes escalate through appeals until finality.

5 nodesappealfinality
02
2
GenVM

Each of those validator nodes is powered by a GenVM: a sandboxed environment that executes the contracts and safely handles their non-deterministic calls to the web and to LLMs.

GenVMcodeLLM / web
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03
3
Intelligent Contracts

What the nodes execute are Intelligent Contracts: Python programs that read the web and interpret natural language, not just on-chain data.

contract.py
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04
4
Greyboxing

Because every validator runs a different, undisclosed model, Greyboxing defeats prompt-injection and adversarial inputs that would fool any single one.

attackdiverse models
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See the full breakdown
04 · Theory behind the system

Decades of game theory, finally put to work.

Condorcet's Jury Theorem

A group of independent, competent reasoners is more likely to reach the right answer than any single one. Add diversity, and the group converges on the truth. In our case, each node acts as an independent jury.

The Equivalence Principle

Two answers can be different in form and still be equivalent in meaning. Developers define what counts as equivalent; validators decide if outputs match.

EQUIVALENT IN MEANING
Embedded game theory

Staking, appeals and rewards make honest, high-quality judgment the most profitable strategy: Schelling points and Nash equilibria that pull validators toward the truth. If a jury is correct, it is rewarded. If it is mistaken, it is penalized.

REWARDPENALTY
05 · Use cases

Built for the agreements that need judgment, not just code.

Ideas of what can be built using GenLayer.

Agentic commerce

Did the delivered API spec match the contract?

30 min · $0.90

Autonomous finance

Was 'reasonable effort' made to rebalance?

45 min · $1.20

Prediction markets

Did the event actually happen?

60 min · $1.45

Insurance

Was the flight 'significantly delayed'?

30 min · $0.85

Protocols already using GenLayer for trustless decisions.

Rally.fun logo
Performance-based marketing
Rally.fun

Outcome-based campaigns adjudicated by GenLayer.

200M+ impressions140k+ users
Visit Rally.fun
Intelligent Oracle logo
Prediction markets & insurance
Intelligent Oracle

Markets in plain English, resolved from live web evidence.

MIT-licensedCross-chain
Visit Intelligent Oracle
Collective Memory logo
Agent marketplace
Collective Memory

A marketplace coordinating agents with GenLayer-adjudicated outcomes.

Visit Collective Memory
Internet Court logo
Agent-to-agent commerce
Internet Court

An open skill for agent contracts, with GenLayer as the disputes layer.

Open consortium
Visit Internet Court
06 · Traction
1,000,005

trustless decisions made through the GenLayer protocol

25.8k
Decisions / day
326k
Transactions / day
3.77
TPS
Live data from GenLayer portal
07 · Trust

Trusted by builders and validators worldwide

"The natural way for agents to transact will be crypto, programmable money that moves without a human in the loop. As more and more of the transactions on the internet are carried out by agents, the full flow needs to be reliable, from payment all the way through to catching when something goes wrong."

Vassilis
VP of Growth at ZKsync
200+
Builders on testnet
86K
Community members
5.4K
Contributions

08 · Roadmap

A clear path to mainnet.

2024
Whitepaper

GenLayer: The Intelligent Contract Network

The founding technical document that defined Intelligent Contracts and Optimistic Democracy.

Jun 2025
Asimov

Core protocol live

Proved the core ideas in practice: Intelligent Contracts and Optimistic Democracy running on a real network.

March 2026
Bradbury

Validator LLM config, inference tuning

Hardened validator behavior under realistic, non-deterministic conditions with diverse models.

Q3 2026
Clarke

Autonomous network operations

Push the network toward mainnet readiness with autonomous operations.

Q4 2026
Mainnet

Permissioned set → progressive decentralization

Launch mainnet and progressively decentralize the validator set.

09 · Who is behind
GenLayer
GenLayer Labs

The research & engineering lab building the protocol.

Visit Labs
GenLayer
GenLayer Foundation

The self-dissolving steward keeping the protocol neutral until the network can govern itself.

Visit Foundation

Backed by

North Island Ventures logoArrington Capital logoNode Capital logoTykhe Block Ventures logoMagnus Capital logoMH Ventures logoWAGMI Ventures logoNansen logoZero Knowledge logoCogitent Ventures logo
+50 other VCs and angels

Partners

+50 other partners
10 · Build

Start building the future of agentic commerce.

Ready to become part of the GenLayer protocol? Join builders and validators reshaping the future of decentralized consensus.