AI-Native · Systematic · London
We don't employ
fund managers.
That's the point.
We believe AI will make better investment decisions than humans. Not eventually — soon. So we built from the ground up without a discretionary layer: no portfolio managers to override the signal, no investment committee to slow it down. We test 1000+ hypotheses and let the evidence decide — proven systems, deployed as the research validates them.
The Thesis
Everyone else added AI to a human fund.
We built a fund for AI.
The established quant firms are brilliant organisations — they hired brilliant people and gave them powerful tools. But the human layer is still there: investment committees, PM overrides, cognitive bias, organisational politics. We started with a different question: what would a fund look like if you removed the human investment decision entirely and built upward from zero?
No discretionary layer, by design
There is no portfolio manager who can override the signal, no investment committee to slow it down. Every decision — what to research, what to test, what to trade, how to size it — comes from a system that can be audited, not a judgement that cannot.
Multiple research channels. One governed decision system.
The system reads price data, language, and fundamental structure simultaneously — independent inputs evaluated through a shared validation and risk framework. Only signals that survive the full process progress toward deployment.
Risk limits the system cannot override
Position limits, drawdown floors, and a hard kill-switch are built into the core as code — not policy. Capital preservation is a constraint the system cannot route around, regardless of signal strength.
The Operating Model
A Machine That Gets Better With Every Trade
The goal is full automation. We are building toward it — not because we lack ambition, but because discipline is the point. Proven systems are deployed as the evidence validates them. Every week the research engine tests faster, knows more, and adapts better than it did the week before.
The incumbents cannot catch up without dismantling what they built. They hired the people. We built the system instead.
Research
Agents scan markets, fundamentals, and language for durable, testable signals across a hypothesis space no human team can cover manually.
Validate
Every signal passes a seven-test statistical framework before it is admitted to the book. Eighty-one percent are rejected.
Execute
Validated signals are sized and deployed inside a pre-defined, deterministic risk framework with no discretionary step between signal and trade.
Learn
Every outcome feeds back into the research engine. Signal decay curves accumulate. The system calibrates. The edge compounds instead of fading.
The incumbent problem
Citadel built an AI lab. Point72 has hundreds of data scientists. Two Sigma has 250+ PhDs. They all added intelligence to a human organisation. The decision layer is still human.
The AvB difference
We have no fund managers to protect, no investment committee to convince, no PM culture to work around. The machine is not a tool used by a human — it is the process.
Why it compounds
Calibration depth — the accumulated record of how signals perform across regimes — cannot be bought or replicated quickly. A competitor starting today would need years of live operation to reach the same depth. By then, the system will have compounded further.
The Founder
Charlie Henderson
An entrepreneur with a background spanning capital markets and financial services technology. Years spent in equities in the City, then co-founding an enterprise AI company whose NLP platform was deployed into some of the world's largest asset managers — before building AvB Capital to apply that same rigour to systematic investing.
"The same machine-learning discipline we used to process investment research at institutional scale is now directed at finding and holding edges the market hasn't closed."
London · Founder
From Hypothesis to Deployment
Multiple constructions. One research platform.
Performance history, strategy detail, backtesting methodology, and current deployment status are shared privately with qualified investors. Send us a message and we'll share the deck within one working day.
Interested in AvB Capital?
The investor deck walks through the research platform, live strategies, and backtested performance. We share it privately with qualified investors — reach out and we'll be in touch within one working day.
This website is for information purposes only and is directed at professional and qualified investors. Nothing on this page constitutes an offer or solicitation to buy or sell any investment, or investment advice. Investments carry risk, including the possible loss of capital, and past performance is not a guide to future results. AvB Capital · London.