Cipher9 invests $2m in Goooo to establish AI trading research labs
Investment firm Cipher9 has agreed to inject $2 million into prediction market platform Goooo as part of a partnership to jointly establish Goooo AI Research Labs. The Singapore-based initiative will focus on AI agent development, autonomous trading systems, AI-driven quantitative research, and predictive intelligence infrastructure.
The investment will be released in phases, tied to research milestones and ecosystem development targets rather than disbursed as a lump sum. The two parties have not disclosed the terms of the partnership beyond the headline investment figure, nor have they named any institutional clients or early adopters.
Research agenda
Goooo AI Research Labs will pursue five research workstreams: autonomous agent decision-making, AI-driven trading model development, multi-market prediction and strategy optimisation, a unified data analysis and quantitative research framework, and AI integration with on-chain prediction markets. The lab aims to build end-to-end pipelines spanning market information ingestion, probability assessment, strategy generation, risk management, trade execution, and outcome feedback.
The partners point to Goooo's existing Prediction Arena product, in which multiple large language models have traded with real funds on prediction platforms Kalshi and Polymarket over a 57-day live run. The company says performance varied materially across models, with differences in probability calibration, position management, and execution quality translating directly into returns. A benchmark from the University of Hong Kong's Data Intelligence Laboratory, published in December 2025, is cited as supporting evidence for the relevance of autonomous trading research; that study evaluated six LLMs across US equities, A-shares, and crypto markets.
Market context and competitive landscape
The intersection of AI agents and prediction markets remains a niche but fast-moving segment. Broader autonomous trading research is being pursued at scale by quantitative hedge funds and technology firms with substantially larger resources than a $2 million seed injection implies. Well-capitalised players including established crypto-native quant shops and AI-focused trading infrastructure providers are already integrating LLM-based signal processing into production systems. The challenge for a nascent lab is not identifying the research questions but reaching the data volume, compute capacity, and live-market throughput needed to validate models at production scale.
On-chain prediction market integration adds a further dimension. Platforms such as Polymarket operate in a regulatory grey zone in multiple jurisdictions. The EU's Markets in Crypto-Assets regulation, fully applicable from late 2024, does not explicitly cover prediction markets, and US commodity derivatives rules around event contracts remain unsettled following ongoing CFTC guidance. Any commercial deployment of autonomous agents executing on-chain trades on behalf of users will require careful navigation of authorisation, liability, and anti-money-laundering obligations across the markets in which Goooo intends to operate.
The $2 million commitment is modest relative to the ambition of the roadmap described. Progress will hinge on the lab's ability to attract research talent and demonstrate reproducible out-of-sample performance in live markets, rather than curated backtests. Both parties have indicated research outcomes will eventually be made available to the wider Goooo developer ecosystem, though no timeline for that has been set.