Applied AI for trading desks and Web3 teams

Where our AI work fits

We focus on applied AI for trading that sits close to real decisions: trade ideas, risk checks, fraud and AML flags, ops dashboards, and support tooling for your teams.

Our work is usually part of a larger architecture. We connect to your existing trading engines, exchanges, wallets, and internal APIs, instead of forcing a new platform on you.

Types of AI builds we take on

• LLM copilots that sit on top of trading and risk data to keep answers grounded.
• AI agents and workflows for monitoring positions, liquidity, and user activity.
• RAG systems for internal knowledge that answer questions over on-chain and internal data.
• AI scoring models for KYC, fraud, anomaly detection, and other controls.

How engagements work

We treat AI like production software: versioned, monitored, and documented. Models, prompts, and integrations are part of the system, not magic.

1. 1Discovery – understand your stack, data, and constraints.
2. 2Design – define inputs, outputs, boundaries, and safety limits.
3. 3Build – ship small, test in controlled environments, then harden.

Next step

If you already have a data pipeline, we can plug into it. If you don’t, we can help you design one that is realistic to maintain and fits an ai development company mindset.