Your AI Trading Copilot,
Tailored to Your Operation
The same forecasting engine, analysis agents, and trading intelligence—customized for your symbols, strategies, and workflows.
Who We Work With
The Copilot adapts to your specific context—whether you're running a fund, building a platform, or managing wealth.
Hedge Funds & Prop Trading
Custom forecasting models trained on your proprietary data. Analysis agents configured for your specific strategies and risk parameters.
Trading Platforms & Exchanges
White-label AI intelligence integrated into your platform. Offer your users predictive insights and automated analysis through our APIs.
Family Offices & Wealth Management
Institutional-grade analysis without the quant team overhead. AI copilots that monitor your portfolios and surface opportunities 24/7.
Everything in Pro, Plus Full Customization
Your data. Your models. Your competitive edge.
Custom Forecast Engine
Neural models trained on your symbols, timeframes, and proprietary signals. Ensemble architectures optimized for your specific market focus.
Custom Analysis Agents
AI agents configured for your trading philosophy. Define analysis workflows, risk frameworks, and decision criteria unique to your operation.
Custom Trading Agents
Autonomous agents with your own trading logic. From signal generation to position management—your rules, AI-powered execution.
Direct Integration
Connect your systems directly to the Copilot. Agent-to-Agent protocols and MCP-compatible endpoints for seamless automation.
How We Work Together
Every engagement starts with understanding your operation. Here's how enterprise partnerships typically unfold.
Quantitative Trading Desk
Challenge
A mid-sized hedge fund runs systematic strategies across 50+ instruments. Their quant team spends most of their time on data engineering and model maintenance rather than alpha research.
Approach
We deploy custom forecasting models trained on their proprietary signals. Their team defines the features—we handle infrastructure, retraining cycles, and model versioning.
Outcome
The quant team focuses on strategy development while models run in production. New instruments added in days, not weeks.
Crypto Trading Platform
Challenge
A growing exchange wants to differentiate with intelligent features. Their users demand more than price charts—they want actionable insights without leaving the platform.
Approach
We provide API access to our analysis agents and forecasting engine. The platform integrates AI-generated market context and predictions directly into their trading interface.
Outcome
Premium tier users get AI-powered insights as a native feature. Increased engagement and a new revenue stream.
Multi-Family Office
Challenge
A family office manages portfolios across equities, crypto, and alternatives. They need institutional-quality analysis for investment committee meetings but lack the resources for a dedicated quant team.
Approach
We configure analysis agents aligned with their investment philosophy. The Copilot monitors positions continuously and generates structured reports on demand.
Outcome
Investment decisions informed by consistent, comprehensive analysis. The analytical depth of a much larger organization.
The Engagement Process
Enterprise engagements begin with a technical discovery phase. We need to understand your data sources, existing infrastructure, trading workflows, and specific objectives before proposing a solution.
From there, we scope a pilot project—typically 8-12 weeks—focused on demonstrating value in a contained environment. Successful pilots expand into production deployments with ongoing support and model maintenance.
Pricing is structured around scope and usage. We're a small team that prioritizes depth over volume—we take on a limited number of enterprise clients to ensure we can deliver properly.
Interested in working together?
Learn about the team behind tradef.ai and start a conversation.
Meet the Team