Don't gamble. Predict.

We find trading edges in prediction markets - and use them to win.

Step 1
Collect
Record every piece of data about the target markets and their oracles.
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Step 2
Research
AI agents find strategies and backtest them.
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Step 3
Trade
Winners go live and trade on their own - automatically.
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01Data

We collect every feed.

Every market, every trade, every oracle price - across venues - lined up and fed into two engines: one to research, one to backtest.

Polymarket ~9,000 markets Kalshi ~5,000 markets Oracles everything we need to predict outcomes DATA one archive Research environment explore the data · find signals Backtest environment simulates taker + maker fills
02The Lab

A research loop that runs itself.

AI agents research around the clock - learning from the data and reverse-engineering the traders who keep winning - then testing every idea before it trades.

Almost every idea dies. We keep only what survives.

24/7 1Learn 2Research 3Backtest 4Score 5Go live 6Monitor

Runs around the clock

03Backtest

We test it - instead of losing real money.

Every idea is proven on history first - no real money at risk. The favorite-longshot bias, for example, looks like free money on paper - but add the real order book (fill queue, liquidity, fees) and it turns into a loss.

fair price longshots win less favorites win more market price → actual win rate

EXAMPLE · the favorite-longshot bias

but when
it trades
0 on paper after fills & fees +11.4¢ −0.7¢

+11.4¢/share on paper - a loss once it trades

04Live

Then - we trade.

Survivors go live on best-in-class, low-latency infrastructure - and every fill flows back into our data, so the agents keep learning.

Strategy Live execution Live results every fill flows back - the agents learn