All asset classes start with markets and exchanges. The next domino that falls is infrastructure.
Prediction markets are powerful because they reveal price, probability, and disagreement in real time. But today the market is fragmented across exchanges. Data is inconsistent, liquidity is split, and most participants only see a single venue instead of the full market picture.
Delphi aggregates real-time and historical market data from 10+ prediction market exchanges into a unified API, builds cross-exchange indices that benchmark real-world events, and powers Delphi News with reporting backed by market data instead of narrative. We are not building another exchange. We are building the layer that makes the ecosystem legible.
Product, partnerships, and go-to-market for prediction market infrastructure.
Prediction markets are powerful because they reveal price, probability, and disagreement in real time. But the market is fragmented across exchanges. Data is inconsistent, liquidity is split, and most participants only see a single venue instead of the full picture.
Delphi aggregates real-time and historical market data from 10+ prediction market exchanges into a unified API, builds cross-exchange indices that benchmark real-world events, and powers Delphi News with reporting grounded in market data instead of narrative. We are not building another exchange. We are building the layer that makes the ecosystem legible.
Systems architecture, data pipelines, and execution across the platform.
All asset classes start with markets and exchanges. The next domino that falls is infrastructure. Delphi is building that layer for prediction markets, matching and standardizing markets across venues so clients get one coherent view of probability and liquidity.
Our team combines Carnegie Mellon backgrounds in AI, computer science, and machine learning with hands-on experience as former prediction market traders. That mix is what lets us ship infrastructure that is both rigorous and grounded in how these markets actually behave.
We are Carnegie Mellon University AI, computer science, and machine learning majors and former prediction market traders building the data layer behind the prediction economy.
We aggregate real-time and historical market data from 10+ prediction market exchanges, including Kalshi, Polymarket, and more, into a single unified API. Markets are matched and standardized across exchanges so users get the full picture, not just one venue's view.
We build cross-exchange indices that benchmark elections, macro outcomes, and geopolitical risks. It is a market-based benchmark layer for real-world events, designed so no single platform can distort the signal.
Delphi News delivers unbiased, non-partisan reporting backed by prediction market data. Instead of editorial opinion leading the story, the wisdom of the crowd helps separate signal from noise.
Delphi is building something different for the prediction economy. Follow the terminal, the research, and the signals as the infrastructure layer takes shape.