MoonPay Acquires Dawn Labs to Launch AI Trading Copilot for Prediction Markets

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MoonPay has acquired applied research lab Dawn Labs and launched Dawn CLI, an AI-powered trading copilot that lets users build and execute trading strategies on prediction markets using plain English commands. The tool initially supports Polymarket, with plans to expand to additional platforms as demand for automated trading tools grows.

MoonPay Acquires Dawn Labs to Build AI-Powered Trading Infrastructure

MoonPay announced Monday that it has acquired Dawn Labs, an applied research lab focused on autonomous trading tools for prediction markets and digital asset traders. The crypto payments company revealed the acquisition alongside the launch of Dawn CLI, an AI trading copilot designed to let users build and execute trading strategies using natural language prompts

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. The financial terms of the deal remain undisclosed, but the move signals MoonPay's commitment to expanding its AI-powered trading copilot for prediction markets

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Source: Cointelegraph

Source: Cointelegraph

"Until now, building and running a systematic trading strategy required you to be a developer, a quant, and a portfolio manager," said Neeraj Prasad, Dawn Labs founder and Chief Engineer of MoonPay Labs. "Dawn collapses that into a single interface. You describe what you want in plain English, and the system handles the code and execution"

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. This approach aims to democratize trading strategies by making sophisticated tools accessible to traders without technical expertise.

Dawn CLI Targets Growing Prediction Markets Like Polymarket and Kalshi

The launch comes as prediction markets platforms like Polymarket and Kalshi experience significant growth, attracting traders betting on elections, sports, economic indicators, and geopolitical events. Prasad explained that the platform will launch initially with support for Polymarket, with plans to expand to additional trading venues and asset types in the coming months

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. "We're starting with prediction markets because they are one of the fastest-growing sectors, and many traders in the space are underserved by existing tooling," he noted.

The timing is notable given the recent momentum in the prediction markets sector. Last week, Kalshi closed a $1 billion funding round, reaching a valuation of approximately $22 billion and effectively doubling its valuation in just five months

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. This growth has increased demand for tools that can analyze information, automate trades, and react quickly across multiple platforms.

AI Agents Meet Systematic Trading Through Natural Language Interface

The move reflects a broader push across crypto and fintech to build AI agents capable of interacting directly with financial systems. In April, cryptocurrency exchange Gemini launched an agentic trading feature for AI agents, while Coinbase, Stripe, and Amazon recently launched AI stablecoin payment rails

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. MoonPay itself has been active in this space, recently launching an open-source wallet standard for AI agents and introducing a stablecoin debit card for autonomous AI models.

Prasad emphasized that MoonPay does not view AI agents and human users as separate customer bases. "We've been building MoonPay around four pillars: fund, tokenize, trade, and spend," he said. "Our agentic products put that same stack in the hands of AI agents. Each one makes it easier for both humans and agents to move value. Dawn is the latest example. A human sets the strategy, and the agent executes it"

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Risk Controls Address Concerns About Autonomous Trading Agents

The rise of autonomous trading agents has raised concerns about hallucinated strategies, unintended trades, and execution failures, particularly as AI systems begin handling real capital. To address these risks, Dawn implements several safeguards including non-custodial wallets created locally through the Open Wallet Standard, reviewable strategy code that users can inspect before deployment, and policy controls that limit how much an agent can trade, which markets it can access, and how positions are sized

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The regulatory landscape for prediction markets remains complex. Both Kalshi and Polymarket face several state-level lawsuits over allegations that the companies are illegally facilitating sports betting and other activities not permitted by state law

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. Trading on prediction markets continues to be under scrutiny by US lawmakers and industry leaders, with concerns about insider trading. In April, a soldier was charged with using classified information to make more than $400,000 through event contracts on Polymarket.

MoonPay Expands AI-Focused Infrastructure Beyond Trading

The acquisition of Dawn Labs represents the latest step in MoonPay's broader institutional expansion into AI-focused infrastructure. In recent months, the company has acquired crypto key management firm Sodot and launched multiple AI-related products

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. MoonPay CEO Ivan Soto-Wright said in a statement: "The team at Dawn Labs have made the most complex parts of active trading accessible to anyone with an idea. With Dawn, AI agents can develop and execute sophisticated trading strategies autonomously. That is what this next chapter of MoonPay is about."

Source: Decrypt

Source: Decrypt

As prediction markets continue to attract a new generation of active traders who use signals from social media, automated strategies, and cross-platform positioning, the infrastructure required for high performance remains fragmented, manual, and technically demanding

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. Dawn CLI's ability to facilitate trading strategies "in plain English" could reshape how both individual traders and AI agents interact with these rapidly growing markets.

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