Infrastructure
for verifiable AI
By 2026, artificial intelligence has caught up with electricity and connectivity in significance. Governments, banks, healthcare and defence are starting to make automatic decisions through AI models. AETRON makes this infrastructure decentralised. Verifiable. Reachable without capital outlay on data centers.
AI as the new critical infrastructure
AI is no longer a separate tool. It's the base resource on which governments, regulators and major industries are starting to make consequential decisions. Without verifiability and without distribution, that infrastructure rests on trust in a handful of private companies.
growth of the global AI audience over five years
expansion of the AI infrastructure market
of organisations use or are testing AI
AI is closing inside a handful of American corporations
AI capabilities are growing fast. Access to them is concentrating in 5–7 of the world's largest, predominantly American corporations. The EU, France, the UK and India have flagged this as a geopolitical risk. In parallel, regulators are introducing requirements that are technically impossible to meet without a new kind of infrastructure.
Concentration of frontier models
of the world's largest, predominantly American corporations train and serve the frontier AI models
The EU, France, the UK and India have flagged this concentration as a geopolitical risk
Verifiability requirement
Regulators want proof of which model decided about a citizen
Energy with no benefit
a year goes into Proof-of-Work hashes with nothing useful in return
More than the annual consumption of Argentina or Norway, spent on math problems with no practical value
0.1% for verification, 99.9% for work
AETRON's cryptographic verification consumes 0.1% of a miner's compute. Most industry alternatives sit at 2–10%. AETRON is 20–100× more efficient.
What AETRON spends on verification. Competitors take 2–10%.
Gap between the normal range and an attack relative to the noise floor
Per medium neuronet - a 100-GPU H100 cluster - compared with competitor verification stacks
Bitcoin → DeFi → AIfi
Over 15 years, blockchain has moved through three stages. Bitcoin as digital gold - a ~$2T market. DeFi as decentralized finance - over $80B in TVL. AIfi - the decentralized economy of AI. AETRON is positioned as the infrastructure layer for that category.
Digital gold. ~$2T market.
Decentralized finance. $80B+ in TVL.
Decentralized economy of AI. The infrastructure layer is AETRON.
Instruments that did not exist before
- Neuronet tokenization: each AI service as a tradeable digital asset with a claim on emission
- AI-compute insurance with automatic payout when a model error is cryptographically proven
- Model royalties: automatic payment to the author of a trained model on every use, no intermediaries
- Compute futures and index products on baskets of neuronets - the ETF analogue of traditional finance
Premium jurisdictions - Monaco, Luxembourg, Singapore, Switzerland, the UAE - get the option to position themselves as the first regulated hub of AIfi instruments.
AETRON as infrastructure for verifiable AI
A network where every AI computation is backed by a cryptographic proof. Governments, banks and academia run services on top of a distributed compute base - without billions on data centers and without trusting any single company.
A distributed compute base
An AI service runs not in one data center but on thousands of GPUs across the network. The capital barrier of national AI infrastructure drops by an order of magnitude.
Proof of Intelligence
Every unit of AI work is cryptographically verified. In the final tests of May 2026 the defense passed all six attack categories with a 7500-fold safety margin to the noise floor.
Neuronets as AI services
The base unit of the network. Each neuronet is a standalone AI service with three roles: owner, miners, stakers. Emission is split automatically by confirmed work.
Energy without new consumption
AETRON does not create new energy consumption. The network uses computers already running in offices, data centers and homes - and directs their compute to useful AI work. A fundamental difference from Proof-of-Work, where energy is added to a country's balance specifically for hashing.
Roadmap
How the network develops - from the current mainnet to a global infrastructure.
Network initialization and Testnet
Launch MVP
CurrentNetwork scaling
Ecosystem and partnerships
Global infrastructure
Where this leads
When AI becomes a verifiable, distributed infrastructure, new options open up for governments and industries.
Healthcare
AI diagnostics with a cryptographic proof of the specific model used. This becomes the standard in public healthcare.
Climate
Climate models run on the distributed compute base of states without any capital outlay on data centers.
Education
Government-run AI tutors in national languages. Access stops being limited by geography or income.
Open infrastructure for AI
A network that no single private party can shut down or capture - including the development team itself. In parallel with PoI, in May 2026 the network transitions from Proof-of-Authority to on-chain voting by validators: runtime upgrades and protocol parameters are approved by votes of independent validators, not by a closed council.
Censorship resistance - no single party can block access to the network
Open-source runtime - any third party can independently verify how the network operates
On-chain governance from May 2026 - decisions are taken by validators voting, not a closed council
A full copy of the network at every validator - the node runs independently of sanctions and geopolitics
Who AETRON is for
Technological sovereignty, regulatory compliance and AI verifiability - for those for whom this matters.
States as founding validators
Validator status carries a vote on every proposal of the developer council - from runtime upgrades to constitutional parameters. A full copy of the network sits on the validator's own infrastructure and keeps running independently of sanctions. This is the analogue of the position Swiss banks held when the global banking system was forming - early leadership in infrastructure that becomes the standard.
Financial sector
Anti-fraud, credit scoring and AML checks on AI models with a cryptographic proof of the model version used. Protection from internal sabotage and an audit tool, in one.
Small states and emerging markets
Access to frontier AI without building national data centers worth billions. Capital cost is an order of magnitude below the centralized model. Citizens gain an economic stake in the national AI infrastructure via mining. Technological sovereignty without dependency on external suppliers.
Academia and research centers
Distributed training of models across thousands of computers. Cryptographic checks at every step keep the process intact. The barrier to frontier research drops away from billion-dollar clusters.