KPI-AI

KPI-AI is an AI-native systematic investment firm.

Four decades of price analysis, now scaled through AI across global liquid markets — futures, equities, FX, and crypto. We're multi-market, multi-timeframe, multi-regime. Our adaptive systems identify whether a market is trending, mean-reverting, or shifting in volatility, and deploy the right model for the conditions.

No forecasts. No fundamentals. Just flow.

Built for AI in markets — not threatened by it.

Adaptive systems for any market condition.

We don't trade one strategy. We trade a portfolio of them — selected by the conditions in front of us.

Every market moves through regimes. Some periods trend. Others mean-revert. Volatility expands and contracts. A strategy that works in one regime underperforms in another. Our systems identify which regime is operating in each market, at each timeframe, and deploy the right model for the conditions. When the regime changes, the system adapts.

That's what multi-market, multi-timeframe, multi-regime means in practice.

Built on the Kernel.

The Kernel is KPI-AI's end-state product vision: a digitised, autonomous fund management business that trades every liquid financial market globally, across multiple timeframes, orchestrated by AI agents around the clock. A small senior team operating at the scale of a much larger business.

The Kernel

The firm's institutional knowledge graph — encoding methodology, process, and decisions into a single, queryable system that grows more capable as the firm operates.

DVAI

A specialised AI built on KPI's proprietary price-analysis methodology — four decades of work by co-founder David Vassallo, captured as the firm's IP. DVAI extends the methodology across every instrument we trade.

The Kernel and DVAI are in active build. As they mature, the firm's reach expands without its operating cost doing the same.

The Position

Built for what's coming.

The investment industry is bracing for AI disruption. Most of that disruption targets the analyst layer — the people and processes that turn information into investment views. Funds that depend on research, fundamentals, or human judgement about companies are exposed.

We don't forecast. We don't sell research. We don't take views on companies. We read the flow of price across liquid markets and adapt to it.

When concentrated AI capital starts moving markets — a small number of AI-native, well-funded players running massive compute — we see the moves and our systems trade them. We're not competing with the AI mega-funds on forecasting; we're trading the flow their activity helps create.

The era of AI in markets isn't something we're defending against. It's the environment we've been built for.