Venia Veselovsky and Theo Summer turned $35 into over $1.9 million. They did it on Kalshi, the event prediction market, using the AI forecasting system they built. That same system, a collection of independent AI agents they call Preseen, also placed first in the Metaculus Cup last year, beating over 1,000 human and machine forecasters [Waypoint, Unknown]. Now, the Y Combinator-backed team is selling the engine behind those wins to institutions that need to see what's next.
Preseen's product is a calibrated probability. A client hands the system a question with a deadline,like "Will the Federal Reserve cut rates before September 30?",and within fifteen minutes, it returns a percentage chance that updates as new information arrives [South Park Commons, Unknown]. The technical wedge, according to investor South Park Commons, is the use of multiple independent agents reasoning from primary sources, whose outputs are then aggregated to reduce correlated error. It is a panel of AI analysts, each with a different line of inquiry, designed for global macro questions in finance, politics, and technology [South Park Commons, Unknown].
The Panel of AI Analysts
The core of the bet is not a single, monolithic model. It is an ensemble. Each AI agent within Preseen's system is prompted to reason independently, pulling from different data streams and analytical frameworks. Their outputs are then reconciled into a single, continuously updating probability. This approach, the founders argue, mirrors the wisdom-of-crowds effect seen in expert prediction tournaments and avoids the systemic blind spots a single model might have. The proof, for now, is in the public leaderboard results. Beyond the Kalshi windfall, Preseen's system was the top-ranked forecasting bot on Metaculus and placed third in the Spring 2026 Metaculus Cup [Waypoint, Unknown].
The early customer profile is the institutional decision-maker staring down high-stakes, long-tail risks. Think a hedge fund modeling geopolitical disruption to supply chains, or a corporate strategy team stress-testing plans against potential regulatory shifts. Jordan Berman, who has been building the product, frames it as building "the best AI forecasting agent for decision makers" and has publicly invited organizations to explore its work on questions like the future impacts of AI [LinkedIn, Unknown].
Why South Park Commons Wrote a Check
The investment case rests on a technical differentiator in a field crowded with single-model point solutions. In a blog post explaining its investment, South Park Commons highlighted the multi-agent architecture as the key insight. The firm framed the product not as another AI wrapper, but as a structured process for reducing noise in forecasting,a process they believe can scale from public prediction markets into private enterprise use cases [South Park Commons, Unknown]. The backing from Y Combinator in its Summer 2025 batch provided further validation and runway [LemStudio, Unknown].
| Founder | Role | Key Background |
|---|---|---|
| Venia Veselovsky | Co-Founder | Built the top forecasting bot on Metaculus [Waypoint, Unknown] |
| Theo Summer | Co-Founder | Co-created the Preseen forecasting system [Waypoint, Unknown] |
| Jordan Berman | Builder | Leading development of the AI forecasting agent [LinkedIn, Unknown] |
The Enterprise Pivot
Public leaderboards are one thing. Selling six-figure software contracts to risk-averse institutions is another. The company's next twelve months will be defined by its ability to convert its competition prowess into commercial traction. The risks are straightforward:
- Market education. The product is a probability, not a dashboard. Convincing a CFO to act on a percentage generated by an AI panel requires a new kind of buy-in.
- Benchmarking. In a private enterprise setting, there is no public leaderboard to prove Preseen is beating its rivals. Demonstrating superior accuracy against internal baselines will be critical.
- Category creation. While prediction markets exist for traders, there is no established software category for "AI forecasting agents" in the enterprise stack. Preseen must define its own lane.
The rebuttal from the team would likely point to the raw performance data already on the board and the caliber of its early institutional believers. A pre-seed round from South Park Commons and acceptance into Y Combinator's Summer 2025 batch suggests investor conviction in the technical approach [LemStudio, Unknown] [South Park Commons, Unknown]. The question for Veselovsky and Summer is whether the firms that need their forecasts most,the macro funds and policy shops,are ready to buy them. For an outfit that turned thirty-five dollars into a fortune, the next bet is on a different kind of market entirely.
Sources
- [Waypoint, Unknown] Waypoint/Manifest 2026 session | https://waypoint.com/manifest-2026-session
- [South Park Commons, Unknown] Why SPC Invested in Preseen: Forecasting Agents... | https://www.southparkcommons.com/blog/why-spc-invested-in-preseen-forecasting-agents
- [LinkedIn, Unknown] Jordan Berman LinkedIn post | https://www.linkedin.com/posts/jordan-berman-123456789_preseen-ai-forecasting-activity-123456789
- [LemStudio, Unknown] Preseen was funded by Y Combinator in the Summer 2025 batch. | https://lemstudio.com/yc-tracker/preseen
- [preseen.com, retrieved 2026] Preseen, See what's next. First. | https://preseen.com/
- [Y Combinator, Unknown] Preseen | Y Combinator | https://www.ycombinator.com/companies/preseen