Their AI uses the blockchain.Our AI learns from it.
We train models directly on transaction data to build the first blockchain-native AI systems that actually understand the environment they operate in.
Our first models are already live
Different products. Different models. Same fundamental advantage: they learn directly from blockchain data.
Hōkū
Hōkū is the trading app we built on a suite of over 40 models. It watches clusters of wallets in real time and flags a trend while it's forming, not after it's on a chart. Live now on Ethereum, Base, and BNB Chain.
MCP
Agents today react to charts and social feeds, which means they act on information the market already has. Our MCP server gives an agent direct access to what's happening next on-chain, in a format it can understand.
Models
The same models are available directly, deployable in a line of code. Predictive signals, advanced advertising and proactive security, all trained on transaction data, built for teams running their own systems.
Training data that never stops growing
The blockchain writes its own training data, every second of every day. Each new block adds new behaviors for our models to learn from.
AI learns from the chain. Here's the proof.
Our models learned patterns in on-chain trading behavior. Now they find them for you live, before the markets move.
We're applying a proven method to a new dataset
Google showed the power of large encoder models almost a decade ago. BERT transformed language AI and now encoders are everywhere…except blockchain.
Blockchain Data
Chain activity is extracted from the blockchain, without ever translating it into human-readable language.
Neural Network
Neural networks learn patterns directly from contract events, wallet histories and other on-chain data.
The Model
Models output complex on-chain behavior signatures that other AIs or dapps use for instant Web3 intelligence.
Built by alumni from
- Apple
- Fidelity Investments
- Massachusetts Institute of Technology
- Stanford University
- The Wharton School